#02 Methodology – how can design contribute

As I continue my research into ecocentric solutions to combat environmental crises, I’m realizing the critical importance of methodology. The scale and complexity of these interconnected issues make it very difficult for me to keep my ground and navigate through it all. I am also a person who finds it very hard to close doors on topics that I find relevant or of importance. In this case – I would need years to cover everything of relevance. Another factor that can become an issue is that I am very personally invested in this topic, which can also make me loose structure. Therefore I see it very necessary to create some guidelines for myself on how to keep a red thread throughout my research journey.

A design-centric approach provides the framework I need to navigate this vast topic, as if I am researching the nature and climate crisis with a set of “design-glasses”. Rather than getting overwhelmed by the enormity of climate change and biodiversity loss, I can focus on how design as a discipline contributes to systemic change of all the sub-topics I pass by. Design is not just about creating objects or visuals; it’s about solving problems through innovative thinking and human-centered approaches. By keeping this perspective at the core of my work, I aim to explore where and how design can address the root causes of these crises, rather than simply reacting to the symptoms.

Methodology also helps me set clear goals and define boundaries for my research. It’s tempting to explore every avenue—politics, agriculture, conservation, energy systems—but a design lens keeps me grounded. It reminds me to ask: how can design principles or interventions make a tangible difference here? For example, I am particularly interested in speculative design and behavioral science, both of which have immense potential to influence societal values and inspire change. These methods allow me to imagine and communicate alternative futures, bridging the gap between ecological ideals and practical action.

Moreover, having a structured methodology gives me the guidelines I need to evaluate my findings and ensure consistency. It helps me stay connected to my central research question: how can ecocentric design foster coexistence with nature? By focusing on design as both a process and an outcome, I can turn broad, systemic problems into manageable, design-driven challenges.

In essence, this methodology is my compass. It keeps me from feeling lost amidst the enormity of the issues, ensuring that my work remains coherent, purposeful, and ultimately impactful. With this foundation, I hope to uncover meaningful ways for design to contribute to a more sustainable and ecocentric world.


Speculative Design is a design practice that involves creating hypothetical artifacts and immersive scenarios to explore and critique potential future developments. This approach is a form of critical design, and encourages reflection on the societal, ethical, and environmental implications of emerging technologies and systems (Neeley, 2024).

Behavioral science is an interdisciplinary field that studies human actions, often seeking to generalize about human behavior in society. It encompasses disciplines such as psychology, sociology, and anthropology, aiming to understand and predict human behavior through systematic observation and experimentation (Augustyn, 2020).


Sources:

Neeley, J. Paul (19th June, 2024). What is Speculative Design?. School of Critical Design. Retrieved 10.01.25 from https://www.critical.design/post/what-is-speculative-design

Augustyn, Adam (31st Jan., 2020). Behavioural Science. Britannica. Retrieved 10.01.25. from https://www.britannica.com/science/behavioral-science?utm_source=chatgpt.com

AR for Fashion Education and Training: A New Era for Learning and Creativity

Augmented reality (AR) is not only transforming the fashion retail stores but is also progressing constantly in fashion education/training. Thus, through delivering the concept and realization of AR, fashion students, fashion designers, and fashion consumers receive a productive learning and designing opportunity to perceive, experience, and interact with fashion in ways previously unimagined. There is, therefore, endless application of AR in design learning institutions and consumer learning as a means of addressing the trends and history of the fashion industry. People have probably become aware of this all too well with philanthropic organizations trying to help out. As discussed above, AR is increasingly becoming popular, and should be incorporated in fashion design schools and training programs in the follow ways:

In most cases, education that caters for fashion design has for a long time just used materials, drawings and patterns to impart to the students’ relevant basics used in fashion design. However, the growth of digital technology and AR is extending fashion student’s knowledge about the design and production process. From the case of fashion students, fashion courses are made more engaging using AR since students come up with various ways of visualizing, designing and presenting their work.

Virtual Draping and Patternmaking

The surreal application of AR within the concept of fashion education is the virtual draping and pattern making. Preceding, fashion students would build actual specimens utilizing fabric and mannequins on which surveys and metrics would be conducted. With AR, the clothes manufacturers are able to use virtual 3D models to lay fabrics, twist them and see what the garment will look like when worn before any part of a fabric has been cut. This is a resource effective and effective because students can advance through different types of materials and conceptions of their creations without the pressure of having the thing made.

Currently, many fashions academic institutions including but not limited to, the London College of Fashion, the Parsons School of Design have integrated AR into the fashion pedagogy enabling students to employ AR tools like CLO 3D and TUKAcad which mimic the fabrication process of garments in real time. It facilitates knowledge acquisition of how various types of fabrics respond, how the garments are constructed, and how the clothing appears when worn on the human form without constant reference to physical prototypes (Smith & Brown, 2023).

Interactive Workshops and Virtual Showcases

AR is also used in fashion schools to implement workshops and demonstrations of clothes and accessories. Fashion educators can take advantage of AR in teaching instead of the conventional class lectures where a faculty member is standing in front of a class teaching the students fashion lessons; AR allows the student to physically manipulate digital objects and understand fashion ideas and principles in an interactive manner. For instance, Microsoft HoloLens and Magic Leap: Students can observe virtual garments with haptic feedback; rotate them using 360-degree space; and work with other students virtually.

In addition, fashion schools have lately adopted the use of AR to conduct virtual fashion show and portfolio. The use of AR in showcases helps students to present their work without the conventional physical display centers thereby giving more opportunities for the student designers and establishing a platform for more equality for candidates (Deloitte, 2022).

How AR Is Assisting Fashioners to Realize Their Projects in real time

AR is not only a nice addition to fashion schools, but it is also giving tools that can help fashion designers to perfect their works interactively. The practicality of seeing garments, accessories and even complete collections directly in a virtual space confers on the designers an amount of freedom and choice never experienced before.

Real-Time Visualization and Iteration

It has been argued that one of the best features of AR use for fashion designers is the possibilities it provides for designing a true-timed model. AR applications allow designing garments to virtual mannequins and then projecting the result onto live models so that the designer can see how the piece will look and fit and how it will behave while worn. This enables designers to solve design problems in a relatively short amount of time such as the color, the material used, proportions and others by doing away with the tedious work of having to come up with actual prototypes.

For example, Dutch fashion designer Anouk Wipprett based on wearable technology applies AR to test her creations before engaging in the manufacturing process. By so doing, she is able to predict how the garments will look and respond allowing her to test some of the difficult features such as interactive lighting and smart fabrics (Wipprett, 2021). In such a kind of development it becomes extremely hard to experiment and refine to such a level if one were to do it without the help of AR tools.

The Integration of Cooperation and Distributed Design

AR also assists designers, manufacturers, and clients to work on the same project since the world has adopted the work from home style. Designers can pass on AR-enabled prototypes to other members in the team working from different parts of the world, hence receiving feedback instantly on projects. This can also greatly accelerate the design phase and minimize reliance on material samples which would ultimately be beneficial for sustainability.

For instance, to facilitate their design team situated in different areas, the luxury brand, Balenciaga has adopted AR. Since the use of AR gives the feeling that the teams are working together on the design where in fact, they are miles apart makes the designer’s work to be done efficiently and effectively (Balenciaga, 2022).

The Function of AR in Educating Consumption for Fashion History and Trends

Apart from enriching fashion education and designing the concepts of augmented reality forehead the consumer education to raise awareness of fashion history, trends, and manufacturing processes of popular garments wear. One of the most appealing ways consumers can become exposed to details about the evolution of fashion is using technology to create secret interactive experiences.

How apparel lovers got a real taste of fashion history – with AR.

There is a developing trend in fashion museums and exhibitions, and that is the use of augmented reality in recreating the outfit on display. By using augmented reality, visitors can explore digital replicas of famous garments, get extra information about them, and make further actions like changing their position to look at them from all sides, or zooming them.

For example, the Museum of Fine Arts based in Boston recently created an augmented reality where customers would be able to use smartphones to discover as to how the gowns in the eighteenth century would fit a mannequin. The museum adds a new perspective by digitally mapping these garments on physical mannequins, which makes the visitor’s experience much richer and a much better understanding of the history of fashion (Museum of Fine Arts, 2022).

AR for Fashion Trend Learning

Apparel retailers too are embracing AR to proactively inform the customers of the latest fashion and how to wear products. With the help of AR-powered apps customers, they get suggestions on different combinations of the clothes and how some items of clothing can suit the other. Through specific codes on the label, a consumer can get the Augmented Reality content where the way the garment can be worn differently, its fabric, and how it was made, or even the culture behind it. What is more, it informs consumers, which in turn improves their attitude toward the product.

Some companies such as H&M have integrated AR into their applications, where they use it to let the consumer scan different pieces of clothing and provide all relevant information about their construction, materials, and sustainability, as well as new ways of wearing a specific garment. This brings in a more aware customer clientèle (H&M, 2023).

Challenges and Opportunities for AR in Fashion Education 

As confirmed by the literature review, AR has huge potential for fashion education and training; nonetheless, some issues must be solved to optimize this technology.

Accessibility and Cost

However, there is evidence of those obstacles and some of the most significant challenges, such as the impracticality of AR for learning fashion due to the high cost of technology. At this time, not all students, schools or designers are in the position to afford better Quality AR hardware and software. AR applications demand both processing power and trained professionals; however, in many cases, less-known learning institutions or independent designers cannot easily implement AR into their portfolio.

Technical Limitations

Secondly, at the same time, AR technology is still in the development stage, and there is a lack of realistic reconstruction of virtual garments. Getting the realism with which fabric falls and how it moves is not easy and designers may have to revert to using physical models to determine the true nature of their clothes in real life.

Nevertheless, as the rating of AR technologies increases, and as new relatively cheap solutions appear in custom contexts, the usage of AR in the educational and training processes connected with fashion is likely to expand. With the adoption of AR in fashion education, design, and consumption, it calls for an opportunity to transform fashion education, design, consumption, sustainability, globalization and engaging customers.

Conclusion

Augmented reality: the decisive technology in the fashion educational process and training, design schools, fashion designers and consumers. The benefits of AR in fashion are broad and range from virtual draping and real time visualization of garments, interactive learning spaces and education for consumers, to sustainability, and the innovations will continue to reshape not only fashion, but what it means to be a consumer in this industry. Thus, the incorporation of AR technology will only grow in impacting fashion education, offering more potentiality in producing unique creativity collaboration and convincing innovation in fashion.

References

  • Balenciaga (2022). How AR Technology is Transforming Remote Design at Balenciaga. [Online] Available at: https://www.balenciaga.com
  • Deloitte (2022). Virtual Fashion Shows: The Role of AR in Fashion Education. [Online] Available at: https://www.deloitte.com
  • H&M (2023). Using AR to Educate Consumers About Sustainable Fashion. [Online] Available at: https://www.hm.com
  • Museum of Fine Arts (2022). Augmented Reality Brings 18th Century Fashion to Life. [Online] Available at: https://www.mfa.org
  • Smith, J. & Brown, L. (2023). The Future of Fashion Education: AR in Fashion Design Schools.

Digital Fashion and NFTs: Trends in Fashion Design in the Metaverse

As we entered a new age of technological advancement, applying augmented reality to fashion, merging digital fashion with NFTs can dictate a new turn in contemporary clothing industry. All these emerging technologies are not only revolutionizing the ways in which individuals apprehend clothes, but also the ways in which individuals consume, wear and possess fashion both in the physical realm and in the digital world. Where AR permits individuals to affix and utilize clothes in cyber sphere, NFTs are enabling fashion houses and customers to establish value and title the cyber accessories. This blog covers exciting interaction of AR, digital fashion, and NFTs, and the way they reshape fashion in the digital environment. AR, digital fashion, and NFTs are unrelated concepts but are integrated to form the next frontier of the fashion industry.

What is Digital Fashion?

Digital fashion is apparel and accessories that are worn only in the digital domain. These items are modeled using computers and unlike actual clothes, these clothing items are not meant to be physical. Rather, virtual clothing and apparel are only pixelized images on a screen or an object made of figures within a virtual reality. For some it can still be a faraway concept nonetheless, digital fashion is best understood in the context of digitalization and virtualization of social life, media presence, and virtual communities in which users strive to introduce themselves.

What are NFTs?

NFT is a type of digital asset that is embedded in a blockchain that guarantees the originality and ownership of a specific digital object. For fashion, NFTs can be employed to provide ownership to digital fashion products such that the owner has a license to a given digital fashion item. It does this because NFTs are built on blockchain which means that an item cannot be copied or duplicated, just like how a physical item may not be copied.

How Augmented Reality and Non-Fungible Tokens Meet in Fashion

Virtual space is an important aspect of digital fashion and augmented reality being a key enabler. AR also permits users to see and ‘try on’ the digital clothes by the use of smart phones, tablets or even the AR glasses. Alongside NFTs, AR creates the basis for users to display their digital-only clothing possessions in virtual environments, thus representing a completely novel form of identity. Today’s trendy clothes firms are launching NFT-linked digital fashion accessories that may be worn into MR environments, shared over social networks, or sold as valuable tokens.

It is in this new environment that AR allows users to engage with digital fashion in an active, experiential manner and helps NFTs ensure that even these objects can be bought, sold, and shown to be valuable in the virtual world.

How AR is Enabling Users to “Wear” Digital-Only Clothing in Virtual Spaces

It has paved way for great potential of using AR in fashion lovers who are interested in the subject of digital fashion. One of the most prominent areas is how one can ‘put on’ exclusive digital accessories through augmented reality. This technology enables one to know how such a fashion looks like on the physical body or in a given setting without having to wear the outfit physically.

Virtual Try-Ons and Social Medias

AR try-ons with the help of Applied Research have also emerged as a novel selling technique in online clothing stores and social networks. As consumers, they are able to ‘try on’ fashion digital accessories and clothing products directly on their smart phones through the AR filters. The Gucci brand has already released an application with AR try-on and the ability to ‘wear’ different garments, accessories – including shoes, bags, even an entire outfit. This trend has started on Instagram and Snapchat, where one wears clothes virtually, and shares them on the social media page as well.

An excellent example of an organization embracing digital fashion is the ‘The Fabricant,’ an Amsterdam based digital fashion house who designs new fashionable digital clothing collection which can be worn in the virtual space through AR technology. In collaborating with AR platforms and SCAA, The Fabricant provides a way for consumers to virtually use the garment, which revolutionized fashion consumers online (The Fabricant, 2023). As for these AR-enabled digital outfits as a new form of self-identification – they are already trending among Gen Z and millennials who spend more and more time navigating virtual spaces.

How NFTs Contributes in the Ownership of Fashion Digital Industry

Thanks to the integration of NFTs, digital fashionable isn’t just the wearing, it’s the possession and curation of specific digital assets. Digital clothes can be purchased with, exchanged for, or even speculated on via different platforms using different forms of blockchain. Such digital assets come with a proof of provenance and ownership as it is with owning a limited piece of luxury commodities.

For example, the fashion brand Rtfkt (which became part of Nike in September 2021) releases exclusive digital sneakers and accessories as NFT. Consumers can buy the NFTs applied to these sneakers and put on the virtual shoes regarding gaming or social networks using AR elements. The scarcity and exclusivity are the sources of value, which has given rise to a new market in NFT fashion novelties (Rtfkt, 2022). Thus, AR lets wear and present avatars in digital clothes and NFT gives the background for ownership, rarity, and value for the digital fashion industry.

The Future of Owning and Showcasing Digital Fashion in the Metaverse

The notion of a collective virtual space in which people are interacting with each other and their surroundings is at the forefront of the metaverse and how digital fashion will evolve in the future. But as Virtual Worlds form part of our everyday life more so the need for self-actualization through digital fashion will continue to grow.

Virtual fashion show or virtual runway shows

The new avatar of the fashion Industry is here, and digital fashion shows and virtual runways are getting popular. It is crucial for brands to stock exchange their collection completely online — digital clothing on 3D models with subsequent virtual trials. These online fashion shows give the designer’s freedom to imagine, create and present things that cannot be done in a physical world.

A perfect example of this is the Metaverse Fashion Week in which designers such as, Dolce & Gabbana , and Elie Saab presented their digital wear at a fully realizable virtual runway (Vogue Business, 2023). Participants sitting in front of PC-assisted avatars could see the digital garments in detail in real-time, and some of these items were sold as NFT.

Customizing Avatars in the Metaverse

Personal avatars work in metaverse as counterparts to their real-life owners, and similarly to tangible environments, avatars in metaverse can be accessorized with digitally crafted clothing objects. NFTs are instrumental in this process as it avails users with original offline fashion wearables that can be fashioned by avatars in different metaverse domains.

For example, Decentral and The Sandbox let individuals buy digital garments acquired with NFTs to adorn their avatars, wear during social meetings, gaming or virtual occasions. The usage of these platforms will only increase and the opportunity for people to buy and invest in more and more exclusive digital assets – the unique products become higher, and this is a promising outlook for NFTs in the fashion sector.

Sustainability and digital fashion.

This is perhaps one of the key forces behind the adoption of digital fashion in as much as it addresses the sustainability needs of the fashion industry.” Digital clothes save on the materials used in making garments, energy used to manufacture them and transport costs that generate pollution associated with physical fashion. Fast fashion clothes can be changed quickly, bought more often, and discarded without any negative impact on the environment; at the same time, consumers can try on digital garments in virtual reality and buy them online without leaving their homes.

Some of the companies that have gone ahead with the use of AR clothing are DressX, which provides customers with exquisite and eco-friendly digital clothing that can be worn in augmented reality. Given the growing awareness of sustainability concerns among consumers (DressX, 2023), digital fashion and AR are ready to give the concept of fast fashion a worthy ecological counterpart.

Strategies and Tactics of Digital Fashion and NFTs

However, there are a few problems that have to be discussed in order to consider the digital fashion and NFTs industry in the metaverse healthier for the future.

Technical Barriers

AR technology is not developed to the maximum level, thus the realistic portrayal of the digital fashion items in the game may differ according to the platform specific or device that is being used. For such format of usage to go viral, it needs to offer frequent users an engaging experience when they are using digital fashion in virtual environments.

Legal and Copyright Issues

When wearing digital fashion items becomes a trade through NFTs, then the issue of propriety rights and copyright is somewhat an enigmatic one. There will be a need to make sure that the people who are involved in creating digital fashion receive their deserved pay for their jobs and to ensure that the designs they do are protected in the digital space this will be of help in the development of this kind of fashion.

Conclusion

The combination of AR, digital fashion, and NFTs is opening fresh avenues for self-expression, ownership, and creativity in fashion. From its provision of virtual spaces wherein users could wear their digitally only clothing and incorporating NFTs as a system for acquiring ownership for showcasing those items, fashion is destined towards the metaverse. From sustainable practices to new business models, exciting experiences for consumers await the future of digital fashion and NFTs that are well on their way to revolutionizing this industry in the years to come.

References

  • DressX (2023). The Rise of Sustainable Digital Fashion: A New Approach to Conscious Consumption. [Online] Available at: https://www.dressx.com
  • Rtfkt (2022). How Rtfkt is Revolutionizing the Digital Fashion Space with NFT Sneakers. [Online] Available at: https://www.rtfkt.com
  • The Fabricant (2023). Pioneering Digital-Only Fashion with AR and NFTs. [Online] Available at: https://www.thefabricant.com
  • Vogue Business (2023). Metaverse Fashion Week: The Future of Virtual Runways. [Online] Available at: https://www.voguebusiness.com

Augmented Reality (AR) in Fashion E-Commerce: Revolutionizing the Online Shopping Experiences

Fashion Industry around the globe is very dynamic and has been growing explosively with the advent of electronic commerce. As more and more people switch to online shopping and make more visits to physical stores, fashion retailers are faced with the problem of how to replicate a store feel online. Augmented reality is now an innovative capability in fashion e-commerce that can be defined as an integration of online and offline shopping experience. This blog features information on how augmented reality is changing fashion e-commerce, the roles it plays in minimizing the gap between online shopping and in-store shopping, and the examples of fashion e-tailers who can incorporate AR into their services.

The User Integration of Augmented Reality in Fashion E-Commerce Shopping Experience

AR places the digits on top of reality using mobile gadgets like smartphones and even devices like AR glasses. In fashion e-commerce, AR is applied for visualization of fitting rooms, 3D visualization of products and improving buyers’ experience. The current uptake of AR in online fashion retail is informed by several facts, namely, Improvement in technology, demand for personalization in the fashion industry, and pressures to meet new unique selling propositions.

Virtual Try-On Technology

The use of augmented reality in fashion e-commerce is arguably one of the most notable innovations seen in a while, especially with use of virtual trying-on. Virtual try on helps the consumer to decide how the clothing or accessories or make-ups will fit their bodies like without having to wear them. This is attained through integration of AR with computer vision technology, body scan and the advanced machine learning to generate highly realistic digital model of the products on the customer image or human model.

For instance, Gucci and Burberry have incorporated virtual try on options, where a customer is able to ‘wear’ shoes, glasses and even clothes simply by using a smartphone (Yang et al., 2023). Consumers just take a picture of the item using the phone’s camera and get a real live preview of how it looks like on them. This not only improves the shopping experience but will also make the consumers have more confidence with what they are buying, thus reversing high return rates, a big problem facing ready to wear e-commerce.

Enhanced Product Visualization

AR also gives the consumer an opportunity to engage with the fashion items in a way they would never have been allowed to. For instance, customers can get the feeling of the handbag or shoes, check around it and the ability to zoom in or out of the product and check its appearance in varying conditions of light. This level of interaction enables the consumers to develop an initiative understanding of the quality and look and feel of the product as experienced when shopping physically in store. Among all respondents surveyed, 70% expressed their naive to AR enabled shopping platforms since it provides them more accurate real-life representation of the product quality and looks (GlobalData 2022).

How AR is Redefining Extended Web and Encroaching on Physical Stores

There are some advantages of e-commerce; a sort of convenience is an important one but it takes away certain features of the retail shop such as getting to feel the clothes or inspect the product closely. AR fills this gap by recreating these experiences virtually; one of the significant challenges of online buying.

Reducing Purchase Hesitancy

A significant problem of fashion e-commerce is that people, as a rule, do not immediately make a purchase. Clients cannot understand how a garment will sit on their body or if they will find it appealing, thus leaving products in the cart or purchasing only to return them. This problem is effectively addressed in AR by providing consumers with virtual trial where they get to know the size, fitness and style of the product better.

For instance, Sephora, the beauty brand, used augmented reality where through its App it proposes makeup products for instance lipsticks and eyeshadow in the consumer’s skin tone before buying. This has earned the company high traffic and more conversions from the users (Forbes, 2023).

Personalization and the Customization

If you want to personalize your items and give them a personalized look, custom design should be of interest to you. A primary concept of in-store shopping is immediate personal interaction with store personnel as they assist with choices in garments that are appealing to the consumer. It can do so in the same way that AR does – by giving recommendations and featuring options that the user might need. Some typical AR applications involve AI algorithms where people are given preferences using the clothes they have bought before, size, and colors like a personal shopper.

In addition, AR can also be used by customers and clients to select specific features concerning the product they intend to buy. For instance, Nike has an AR app where through a customer can choose between the color, material, and design that they want on their shoes. This will improve the bond between product and the consumers and ensures they complete the purchasing process.

Case Studies of Fashion Retailers Integrating AR into Their Platforms

Some fashion retailers have applied AR technology in the e-shops, which creates new appealing opportunities for purchases and increases the customer satisfaction level.

1. ASOS

ASOS, a UK fashion retailer firm, has integrated AR technology in its application that it refers to as “Virtual Catwalk”. Through employing AR, ASOS lets customers imagine models wearing different clothes in a full circle as if a fashion show took place at the customer’s location. This feature assists shoppers in seeing how the clothes would look and fit in the real world – a function somewhere between online shopping and shopping for clothes in person. Thanks to this feature, ASOS, for instance, obtained a 22% rise of sales after implementing it (Retail Gazette, 2023).

2. Zara

Zara, the Spanish clothes and accessories retail chain, released an AR application in its application that let users capture specific codes within the Zara store or online and then see virtual models showcasing the new range. This augmented reality named “Zara AR” integrated the online and offline environment and seemed to encourage consumers to engage with the brand in different ways and to come to the stores consuming content on the internet (Business Insider, 2022).

3. Warby Parker

The example of Warby Parker, the eyeglasses company, that incorporated the AR try-on feature in its app and lets customers see how a particular pair of glasses looks on them. This feature has become a key differentiator for Warby Parker, as it addresses one of the main challenges of buying glasses online: search of the right size and form. For this reason, Warby Parker reached increased conversion rates and less return rate after adopting AR technology (Deloitte, 2022).

AR in Fashion E-Commerce – Challenges and Opportunities

Nevertheless, the use of AR in fashion e-commerce is still limited and there are barriers which need to be addressed to unlock all the opportunities.

  • Technological Limitations

A major issue is related to technology where the actual production of life-like and real looking augmented reality experiences is technically tricky. Using much detail to design clothes or accessories such as shoes in three dimensions leads to high modeling costs and lengthy processes. Also, integration of AR experiences is subject to the device: not all smartphones have required hardware for smoother AR operation.

  • User Adoption

A last challenge is the ability to get users to adopt new technologies or ways of passing information and interacting. Thus, there are significant advantages associated with the use of AR but, still, some consumers are perhaps not aware of the technology or indeed, may simply not wish to use it. However, as they are becoming incorporated into social networks and other successful applications, consumers tend to gain trust in it through time.

Conclusion

It opens a new chapter in the fashion e-commerce environment since it provides proper client empathy and creates an extended reality between online and offline purchases. Getting this right as AR technology moves from strength to strength and as consumers demand greater interactivity, personalization, and immersion are likely to reap big, as feedback, conversions, and sales go up a notch. Although there are current issues and concerns with AR, the potential that it holds for fashion retailers is huge; the potential for further development is almost unlimited.

References

  • Business Insider (2022). Zara AR: How Augmented Reality Is Revolutionizing Shopping at Zara. [Online] Available at: https://www.businessinsider.com
  • Deloitte (2022). How Warby Parker’s Virtual Try-On Feature Is Changing Online Shopping. [Online] Available at: https://www.deloitte.com
  • Forbes (2023). The Future of AR in Fashion: How Sephora is Leading the Way. [Online] Available at: https://www.forbes.com
  • GlobalData (2022). Consumer Preferences for AR in Fashion E-Commerce. [Online] Available at: https://www.globaldata.com
  • Retail Gazette (2023). ASOS Sees 22% Increase in Sales Following AR Integration. [Online] Available at:https://www.retailgazette.co.uk
  • Yang, Y., et al. (2023). Augmented Reality in Retail: The Case of Gucci and Burberry’s Virtual Try-On Features.

Potential Future Development of Augmented Reality (AR) in Fashion Business

Fashion is all set to complete its digital transformation process in which augmented reality is expected to have huge scope. AR is an interactive technique where computer generated information is superimposed on the real world for enhancing interaction, has seen drastic evolution in the recent years and thus offers new opportunities for interaction, personalization and thus consumers. Further, with continual advancement in the automation industry moving from Fashion 2.0 toward Fashion 4.0 through the integration of modern trends in digital technology, AR enables a complete transformation of the fashion production process, fashion promotion, and fashion consumption. This is a blog on fashion and AR, and it is divided into several sections including present opinions, future advancements, and future challenges.

The Rise of augmented reality in Fashion

Although the concept of augmented reality was initially used in the fashion industry a long time ago, it has only lately gained recognition. Starting from Akram et al., 2022, in this regard, it can be identified that fashion digitalization is a part of a larger concept called Industry 4.0, whose mission is to imbed smart technologies into production and consumption processes. The turn indicated above has been implemented in the past using AR as a tool for this transition, fittings, marketing experiences. AR is another talked about trend brand to offer distinctive touch points and let clients visualize how a product will blend in their houses.

As pointed out by Alkhamisi and Monowar (2013), the early use of Augmented Reality was straightforward: for example, some virtual mirrors at the shops so that buyers can see how they will look wearing some cloths without having to wear them. But when it comes to enhanced features of mobile technology and wearable devices, the Application of Augment Reality in Fashion has become a very saturated concept that enhances not only the web-based virtual fashion retail business but also functioning in the Fashion Retail Malls and Shops. For instance, today, customers can test clothes and accessories through augmented reality applications from the comfort of their homes; thus, it cannot be categorized as purely digital selling platforms – e-commerce – or physical stores.

FASHION AR trends for Next Gen

1. Virtual Try-On Experiences

Virtual try on is most definitely one of the most promising branches of AR for the fashion industry. With AR technology, the reason is because a customer doesn’t have to get to the store physically to try on clothes, shoes and even accessories. This has been on the rise, particularly when COVID-19 arrived and it became impossible for many individuals to shop for necessities themselves. According to the author of this article also, Vyas and Bhatt (2017) note that in the future, AR in the fashion industry will be used to make even more natural speaking simulations in the career through 3D and machine learning. As the technology in augmentation reality is enhanced, so will the try-ons if enhanced be more realistic allowing the consumers to see not only how it fits but when worn and the overall perfect body fit.

That is why virtual try-ons have quite a number of benefits for brands.

That is why virtual try-ons are perfect for so many brands. They assist in reducing the inventory which has to be warehoused, assist the customers make decisions faster and reduce the revers that is one of the biggest challenges of selling online. Also, such try-ons may provide compatibility with social networks which will enable the user to share experiences and give real time feedback from friends and followers and increase their interest.

2. Fashion Show — Virtual Modeling, Conjuring Realistic Runway

The system in which models have to parade before a gathering wearing the apparel is replaced by AR. The current designers and the different brands have begun adopting the new trend of fashion shows that incorporate the use of AR to enhance the mode. Chen et al., (2019) also gives an insight of how augmentation reality shall transform fashion by the way fashion shows shall be conducted since garment designs can be worn by models or even places on dummy models capable of sandwiching on the runway. It also makes it possible to be more creative in terms of design since through digital shows people are given chances to attend the event regardless of the geographical location.

In future similar fashions shows using augmented reality can have live variations, changing the color or can allow for buying straight from the show. It includes new similar tendencies that can be seen in the modern tendencies of fashion, democratizing luxury designing and disrupting the separation of designers and final consumers.

3. AR – Enhanced Customization and Personalization

Augmented reality is claimed to be pursuing customization, one of the largest trends in fashion for a long time. Similarly, citing Riar et al. (2022), AR could be used to map out a unique process for shopping because, when shopping, customers can modify the design of the product. Starting from the selection of fabric type and color for altering the size of apparels, AR enables buyer involvement in fashion product creation with the fashion brands. Furthermore, it is a level of satisfaction between the customer and the organization that can facilitate demand and eliminate the issue of overproduction and, at the same time, embrace the sustainable concern in the fashion industry.

However, in addition to customization, fashion coordination can also be presented, which is relevant only to the customer. For example, virtual stylists particularly when using AR can closely inspect the customers wardrobe and the potential outfits or the introduction of new outfits based on the style, size, or interests of the customer. But then it makes the shopping experience even more personal and interesting to the consumer, he or she will come again and again to the brand.

4. AR in Sustainable Fashion

Newer consideration is being given in equipped the Fashion Industry and AR has an opportunity which can be useful in sustainable regime. One way through which AR can champion sustainability is by minimizing the use of physical samples or prototypes needed in designing. From the research by Akram et al, (2022), the application of fashion digital design/back apparel propped up by AR can substantialize features that let the designers construct and model garments virtually in lieu of real ones, in this process, saving resources.

Besides, AR can guide consumers toward making correct sustainable decisions when it comes to fashion. Another area is that brands can share with consumers information about the components which are used for manufacturing the given product and others related processes with the help of the given name. Thus, an augmented reality could provide its environmental rating when the label of a garment is scanned; how much carbon emission was used or how recyclable the fabric is.

Challenges & Opportunities of AR Applications in Fashion

Today the potential of using AR in the fashion industry is really high; although, it is necessary to solve some questions to propagate this technology. In broader perspective, the main constraint stated by Vyas and Bhatt (2017) is a need for the higher development in technology especially in hardware and software aspects for true AR environment. Current AR applications typically have fixed content that cannot tap into available computer cycles to improve content offered to the user; the content that is offered might not be very easy to interpret, especially if it is displayed on a small screen of a hand-held device, or a wrist-wearable.

Another is that implementing AR technology demands a fairly big investment as for the development of the technology itself and its integration. In a similar regard, applying the AR solutions may be costly to the small fashion brands hence inedible to marketing the average big firms. However, realizing that AR is gradually becoming more accessible as a technology, as well as the costs of its development are decreasing in a vast number of industries, the spread of augmented reality for the companies of multiple industries will go further.

It is therefore important to highlight the idea that the application of AR in fashion retail business is beyond measure although the above challenges are persistent. It will alter the ways consumers will engage with products or interact with clothing, and their relationship with brands. As time goes by, fashion could be assumed to integrate AR more naturally in order to provide a better, or even unique and longer-lasting, and more natural shopping experience.

Conclusion

They indicate that augmented reality application in the sphere of using it to fashion has a great potentiality. 360-degrees fashion show, modifications which will be based on each person’s body type, and sustainable fashion design will also have AR as a critical component of the digital fashion industry. Innovations in the future in regard to the technology of AR may not be hindered by issues of technology and costs which define what can be done today but gives the audience a glimpse of what can be done in fashion industry. On the future of the industry relying on digital and sustainability factors, AR will provide a strong support to the kind of fashion experience that is expectable in the future.

Literature:

Akram, Shaik Vaseem, et al. “Implementation of Digitalized Technologies for Fashion Industry 4.0: Opportunities and Challenges.” Scientific Programming, vol. 2022, no. 1, 17 Aug. 2022, pp. 1–17, www.hindawi.com/journals/sp/2022/7523246/https://doi.org/10.1155/2022/7523246.

Alkhamisi, Abrar Omar, and Muhammad Mostafa Monowar. “Rise of Augmented Reality: Current and Future Application Areas.” International Journal of Internet and Distributed Systems, vol. 01, no. 04, 2013, pp. 25–34, https://doi.org/10.4236/ijids.2013.14005.

Chen, Yunqiang, et al. “An Overview of Augmented Reality Technology.” Journal of Physics: Conference Series, vol. 1237, no. 2, June 2019, p. 022082, iopscience.iop.org/article/10.1088/1742-6596/1237/2/022082/pdf, https://doi.org/10.1088/1742-6596/1237/2/022082.

Riar, Marc, et al. “Using Augmented Reality for Shopping: A Framework for AR Induced Consumer Behavior, Literature Review and Future Agenda.” Internet Research, vol. 33, no. 1, 29 Mar. 2022, https://doi.org/10.1108/intr-08-2021-0611.

Vyas, Daiwat Amit, and Dvijesh N. Bhatt. “Augmented Reality (AR) Applications: A Survey on Current Trends, Challenges, & Future Scope.” International Journal of Advanced Research in Computer Science, vol. 8, no. 5, 1 July 2017, pp. 2724–2730, www.ijarcs.info/index.php/Ijarcs/article/view/4059/3803https://doi.org/10.26483/ijarcs.v8i5.4059. Accessed 16 Apr. 2021.

Real world application and use of AR in Fashion Retailing:

With the coming of Augmented Reality technology, a paradigm shift has occurred in many industries including fashion retail business. With changing customer requirements, many fashion companies are incorporating AR into their operations with good reason to improve customer interaction and deliver a smoother transition from traditional to e-commerce platforms. What has augmented reality brought to the fashion business? The examples of virtual try-on apps or fashionable marketing initiatives show how this technology is revolutionizing the experience of fashion-brand consumers. The lens of literature is then applied to a few case studies and real-world implementations of augmented reality in fashion retail presented in this blog post.

AR in Fashion Retail: An Overview

AR also can be used by fashion retailers to place a digital content on the real environment that enables customers engage with and engage the experience. Consumers benefit from live viewing of the products; seeing how it looks, where it can be worn, or how it may appear like before purchasing; retailers thus posting high satisfaction, less return rates. AR was claimed by Javornik (2016) to enhance customer interaction since it provides them with new experiences, minimizes the risks involved in the purchase decision and also improving on the decision making process. With these capabilities AR has grown to be an essential application for fashion brands that is used to design intimate, exciting, and extraordinary methods through which the fashion houses’ offerings can be marketed.

Case Study 1: Zara’s AR App

Another great example of fashion retail m-Commerce comes from chain of clothing retailer stores, Zara, which can be considered one of the pioneers in AR application in the clothing industry. In 2018, the company unveiled its AR app that makes virtual models appear on screens of smartphones by pointing at a store window or a display. These models ‘dropped’ items from Zara’s current catalogue, and customers could simply tap to buy the featured looks right from the app. This integration of AR not only improved the engagement level of the customers but also turned all the store aisles into a marketing tool.

Zara’s AR app was developed for increasing the share of the total retail sales that occur in-store while preserving the digital aspect of shopping. The AR models shifted, touched and offered live, omnidirectional perspectives of the apparel products. As Wang et al. (2020) pointed out, such AR applications make a difference for a retail business when meeting the need to stand out from the other similar retail businesses and provide the customers with more engaging, as well as individualized shopping experience. AR also solved another increasing phenomenon to blend physical and digital experiences, or ‘phygital’, and let customers interact with Zara’s brand online and offline.

Case Study 2: Sephora’s Virtual Artist

The L’Oréal company, the biggest cosmetics company in the world, has implemented the use of AR through Sephora’s Virtual Artist application. Sephora’s Virtual Artist, which is in the application, helps customers virtually apply makeup, including lipstick, eyeshadow, and foundation, leveraged on AR facial recognition. He noted that through such technology, customers get to know how such products will look on their face in real word without actually putting them on. The concept of virtual try-on has changed the way customers shop for beauty products, allowing many to not only test makeup products but also have a great time doing it from the comfort of their own home.

This study also notes that the options for virtual try-on play a major role in influencing customer decisions leading to purchase Online Shopping since they minimize the customer’s apprehensions. Another benefit of Sephora’s AR application has been highlighted in the case is that it can help minimize the rate of returns that have become rampant in online fashion retailing since the apps gives a life like rendition of the products (McLean & Wilson, 2019). Through evaluating and combining the ideas of AR, Sephora is able to tackle one of the main issues associated with e-commerce – designing for touch and, more specifically, for the shopping experience of beauty products.

Case Study 3: Gucci’s AR Shoe Try-On

AR is used by Gucci, which is a luxury fashion brand to increase customer experience by allowing them to try virtual shoes through the app. This is a special augmented reality which enables people to attempt different types of Gucci shoes by just aiming the phone camera at their shoes. The application overlays the chosen shoes on the wearer’s feet in the form of the 3D image where the users are able to see different views of the shoes. This feature can be more valuable for such categories of goods as luxury products that expensive productions, and customers do not want to buy them without firstly having a trial on the chosen item.

The use of AR try-on by Gucci has ensured that customers minimize their purchase rand and their confidence with the product is increased hence the increased conversion rates among audiences. Due to the research findings of Pantano et al (2017) it was found that fashion retailers wherein incorporating AR augmented try-ons to enhance the attractiveness of the shops and boost the level of satisfaction among the clients. The application of AR by Gucci is also a way of satisfying the evolving consumer trend of wanting to try products before buying because buyers can can see how the product looks like without having to wear it. Moreover, it is very interactive, which is another trend since Gucci is already known as an innovative and a vanguard luxury brand.

Case Study 4: Nike’s AR Size-Fit Technology

Nike has gone about implementing AR in a way that is vastly different from apps like Ikea’s AR app with the creation of the “Nike Fit”. A Nike app featuring this augmented reality app enables the customers to discover the most suitable shoe size for them by simply capturing their feet. Nike Fit via smartphone cameras measures the customers’ feet and then recommends the appropriate size for various Nike shoes. This AR application targets one of the largest challenges inherent to footwear purchase which is size ambiguity by providing a custom and accurate size identification.

Hilken et al. (2017) indicate that the complexity of decision making is decreased and perceived customer utility is increased with the help of AR technology to deliver accurate personalized information. Nike Fit does so in the sense that the experience narrows down the possibilities of incorrectly estimating a correct shoe size, and the frequency of a return, which is often seen with shoes bought online since one gets the wrong size. Further, AR is integrated at the Nike to improve the over-shopping experience through the invention of an efficient and colorful solution for clients.

Case Study 5: ASOS’s Virtual Catwalk

The British online fashion e-tailer ASOS launched its augmented reality hub offering customers a real time view of models wearing the clothes they have chosen. Customers would be able to use their smartphone camera to see virtual models walk on the floors of their living room as they preview ASOS clothing’s movement and fit. This augmented reality function enables a customer to see how garments move on the body, which gives a closer to reality view of the dynamics of an article.

From the case of ASOS, the use of AR exposes the centrality of experiences on the marketplace. Javornik (2016) found out that AR can create a strong bond with consumers because it is interactive and produces visuals that cannot be offered by simple images or videos. Besides, entertaining the customers through the Virtual Catwalk which brings the fashion on the runway into our homes, the more time spent on the app increases sale chances due to its constant appearance.

The Impact of AR on Fashion Retail: Key Takeaways

Thus, the authors confirm that the use of AR in the practice of fashion retail can help to solve the problem of low customer engagement, low confidence in a particular item of clothing, and provide a positively extraordinary experience when purchasing clothes. The different examples highlighted include Zara’s AR models, Sephora’s Virtual Artist, Gucci’s shoe try-on, Nike’s size-fit technology, ASOS’s virtual catwalk all show how AR can be used to satisfy myriad consumer requirements. These case studies fall in line with other literature highlighting the advantages of AR which includes; minimal purchase risk (Poushneh & Vasquez-Parraga, 2017), customer involvement (Hilken et al., 2017) and decision making (Javornik, 2016).

AR does more than create unique methods for customers to engage with fashion brands; it enables businesses to stand out in a saturated space. Growth of these technologies indicates that more interesting and unique allies of AR in fashion retail will surface in the near future and cause integration of physical and online shopping.

Conclusion

The implementation of AR technology in the fashion retail is steadily revolutionizing the market with the possibilities any brand or retailer could used to decrease the risk factors in a purchase and improve the overall experience of shopping. Engaging the consumers with AR in a friendly and personal way means that consumers get to make the right choices and so companies increase sale and customer satisfaction. Likewise, the case of Zara and Sephora, Gucci, Nike, and ASOS has proved that the technique of AR is no longer unique but compulsory for fashion retailers to be strong in the digital world.

References

Hilken, T., Ruyter, K. D., Chylinski, M., Mahr, D., & Keeling, D. I. (2017). Augmenting the eye of the beholder: Exploring the strategic potential of augmented reality to enhance online service experiences. Journal of the Academy of Marketing Science45(6), 884-905. https://doi.org/10.1007/s11747-017-0541-x

Javornik, A. (2016). ‘It’s an illusion, but it looks real!’ Consumer affective, cognitive and behavioural responses to augmented reality applications. Journal of Marketing Management32(9-10), 987-1011. https://doi.org/10.1080/0267257X.2016.1174726

McLean, G., & Wilson, A. (2019). Shopping in the digital world: Examining customer engagement through augmented reality mobile applications. Computers in Human Behavior101, 210-224. https://doi.org/10.1016/j.chb.2019.07.002

Pantano, E., Rese, A., & Baier, D. (2017). Enhancing the online decision-making process by using augmented reality: A two country comparison of youth markets. Journal of Retailing and Consumer Services38, 81-95. https://doi.org/10.1016/j.jretconser.2017.05.011

Poushneh, A., & Vasquez-Parraga, A. Z. (2017). Discernible impact of augmented reality on retail customer’s experience, satisfaction and willingness to buy. Journal of Retailing and Consumer Services34, 229-234. https://doi.org/10.1016/j.jretconser.2016.10

The Influence of Augmented Reality on Customer Experience and Retail Outcome

The retail environment is changing chemically with technology becoming a major driver for change in the manner in which customers interact with brands and make consumption choices. The most revolutionary innovations in the recent past is the augmented reality (AR) that imposes digital objects over the existence environment providing interactions and immersion. As a tool, AR is revolutionizing the way retailers engage with customers and directing consumer behavior and physical store experience. These are the dimensions that this blog discusses, backed by the literature that shows the extent of Retail transformation by AR.

  • AR and customer engagement: key to brand success

Consumer interaction is crucial to ensure more of their repeatedly purchasing your products which can be solved by AR. AR, hence, holds the possibility therefore to offer new and appealing forms of interactivity with products and brands. Analyzing previous work, it was established that AR-based applications engage customers more than traditional media do. In the context of the present discussion, Yim, Chu & Sauer (2017) have suggested that AR experiences offer entertainment value, information and an interactivity advantage, and that customer experiences are therefore richer.

Perhaps one of the many ways in which AR cultivates engagements is through enabling consumers to see a product in their home before purchasing them. For example, applications like IKEA Place use AR to assist customers to learn more about furniture placed in their homes. Not only are consumers captured with this hands-on, virtual concept, but they’re also able to make smarter decisions as they can visualize the product in their home. Therefore, AR is a mediator between online purchasing and sensing of physical environments as presented by real physical outlets (Poushneh & Vasquez-Parraga, 2017). 

How AR affects the purchase behavior of customers.

In this analysis, AR influences consumer purchasing behavior as it reduces the amount of uncertainty in the purchase process. The conventional approach to internet shopping can sometimes result in the buyer delaying the final decision as he cannot touch the product. AR helps to deal with this problem because it offers opportunities for users to try on a garment, applying makeup, or picking up accessories without doing so. McLean and Wilson (2019) concluded that augmented reality improves consumers’ confidence in their choices and minimizes the probability of return as the provided product imagery is closer the reality.

Further there exists a way how AR can contribute to ownership and emotional attachment before the actual purchase occurs. Hilken et al., (2017) asserted that when consumers notice a product placed in their environment, they develop an emotional connection implying a high possibility of purchasing the product. This effect is commonly known as ‘mental ownership,’, and results in improved purchase intentions and customer loyalty.

The last thing is that AR bears opportunities for giving the clients access to the articles’ information through the interactive installations. In a physical store environment, for example, AR apps may offer consumers information about a product – including customers’ comments, characteristics, and price – by using their smartphone to point and scan this merchandise. Besides, it helps to eliminate the confusion in decision making by providing the most potent information on the menu in the form of a touch screen to consumers (Pantano et al., 2017). By that, AR becomes a tool that is capable of encouraging impulse purchases as it enlivens and improves the entire process of shopping.

  • Augmented Reality and the Store of the Future

The designed AR experiences are no longer simply about physical and tangible engagement; they are rapidly transforming how users’ shop. Through adopting AR, the retailers or consumer electronics businesses can significantly build up new and interesting target-based shopping experiences as part of the new shopping behavior of consumers during their visit to the stores.

For instance, augmented reality in the form of AR-powered mirrors have become landmarks in the fashion niche. There are examples of AR like clothes fitting mirrors in Zara stores, makeup and accessories trying mirrors in Sephora stores, which also don’t require fitting rooms, and call for multiple trials. This also improves the overall shopping experience but also tends to particular issues, for example long waiting time for fitting rooms and the necessity to try on several articles of clothing physically (Javornik, 2016).

Also, AR apps have applied in the shopping experience as a form of fun and exciting way of shopping for consumers. Several stores such as Nike and Starbucks have used AR-based games and a variety of other engaging activities in their stores because each activity gives the customer a reward or an offer that is exclusive to the activity. These casual and entertaining AR experiences help the customer engagement with the brand, bringing more customers to stores, visiting stores longer, and, consequently, purchasing more (Huang & Liao, 2015).

Furthermore, introduced previously, AR can help improve visual merchandising. Static product exhibits are normally used in traditional store formats; on the other hand, AR-enabled stores permit dynamic exhibits that can be changed dynamically depending on the customer’s preferences. For instance, customers can make different settings in a showroom to see how they would look when the furniture is placed or arranged in real space through AR apps, and they can also get to know how different garments of clothes would look when they are worn together through a virtual mannequin through AR apps. These features not only enrich customer experience within the store but also make the customers navigate through the store from different aspects and therefore make the shopping remarkably interesting (Pantano et al., 2017).

  • The Future of AR in Retail

AR in retail has limitless possibilities in the future. Retailers particularly will need to follow the advancement of AR technology as they seek to incorporate it into their customer relations. AR glasses and wearable technology may bring the concept of hybrid reality shopping even closer into the future and define new methods of seamless shopping.

However, it was ascertained that the application of AR for enhancing the store experience will bring fruitful results only when several factors can be brought into operation. AR must be easy to navigate and informative to the consumer, for retailers seeking to incorporate it into their business practice to guarantee it will provide value to the consumer. AR for the sake of AR is not enough; the innovation should create real added value for the consumer – in the form of added information, less hurdles in the buying process, or a more entertaining and engaging experience.

Conclusion

Customers can be easily engaged, and products can also be consumed by using augmented reality in ways that are inconceivable in the retail sector. AR creates more engaging and informative experiences that result in consumer confidence through enhancing the gap between tangible and virtual shopping experiences. Over the coming years it is without a doubt that AR has not only rounded the corner, it has and will continue to make a significant impact on the future of retail for both retailer and consumer.

References

Hilken, T., Ruyter, K. D., Chylinski, M., Mahr, D., & Keeling, D. I. (2017). Augmenting the eye of the beholder: Exploring the strategic potential of augmented reality to enhance online service experiences. Journal of the Academy of Marketing Science45(6), 884-905. https://doi.org/10.1007/s11747-017-0541-x

Huang, T. L., & Liao, S. L. (2015). A model of acceptance of augmented-reality interactive technology: The moderating role of cognitive innovativeness. Electronic Commerce Research15(2), 269-295. https://doi.org/10.1007/s10660-014-9163-2

Javornik, A. (2016). ‘It’s an illusion, but it looks real!’ Consumer affective, cognitive and behavioural responses to augmented reality applications. Journal of Marketing Management32(9-10), 987-1011. https://doi.org/10.1080/0267257X.2016.1174726

McLean, G., & Wilson, A. (2019). Shopping in the digital world: Examining customer engagement through augmented reality mobile applications. Computers in Human Behavior101, 210-224. https://doi.org/10.1016/j.chb.2019.07.002

Pantano, E., Rese, A., & Baier, D. (2017). Enhancing the online decision-making process by using augmented reality: A two country comparison of youth markets. Journal of Retailing and Consumer Services38, 81-95. https://doi.org/10.1016/j.jretconser.2017.05.011

Poushneh, A., & Vasquez-Parraga, A. Z. (2017). Discernible impact of augmented reality on retail customer’s experience, satisfaction and willingness to buy. Journal of Retailing and Consumer Services34, 229-234. https://doi.org/10.1016/j.jretconser.2016.10.005

Yim, M. Y. C., Chu, S. C., & Sauer, P. L. (2017). Is augmented reality technology an effective tool for e-commerce? An interactivity and vividness perspective. Journal of Interactive Marketing39, 89-103. https://doi.org/10.1016/j.intmar.2017.04.001

1.9 The Emotional Intelligence of AI: Can Chatbots Truly Understand Us?

As AI technology advances, chatbots are evolving to recognize emotional cues, providing support in mental health, companionship, and conversational interfaces. By integrating techniques such as natural language processing (NLP), sentiment analysis, and machine learning, these systems aim to simulate empathy and create meaningful interactions. However, the development of empathetic AI comes with challenges, including technological limitations, ethical concerns, and potential risks of over-dependence.

Advancements in Empathetic Algorithms

Empathetic algorithms are designed to detect, interpret, and respond to human emotions using methods such as NLP, voice tone recognition, and facial expression analysis. For example: Woebot employs cognitive-behavioral therapy (CBT) techniques to guide users through stress and anxiety management, leveraging emotional cues from conversations. Wysa uses sentiment analysis to provide customized mindfulness exercises and mood tracking tools for emotional resilience.

Beyond mental health, empathetic algorithms are being integrated into other sectors like education and customer service, tailoring interactions based on emotional cues to improve engagement and satisfaction.

Chatbots as Relationship Simulators

LLMs such as GPT power chatbots like Replika AI and Character AI, which simulate human-like relationships. Replika AI enables users to design virtual companions for friendship, mentorship, or even romantic connections, raising questions about emotional reliance and blurred boundaries between humans and machines. Character AI allows users to interact with AI representations of fictional or historical figures, blending entertainment with relationship simulation.

Replika, Image Source: Every

These developments reflect themes from the movie Her, where an AI operating system becomes a deeply personal companion. While such systems offer emotional support, they highlight risks like over-dependence, which could potentially hinder real-life emotional interactions.

Movie Her, Image Source: IMDb

The Role of Empathy in AI

Empathetic AI is transforming human-AI interactions by making them more intuitive and emotionally aligned. However, achieving true emotional intelligence in machines remains a significant challenge:

  • Complex Emotions: Emotions are shaped by individual, cultural, and situational factors, making them difficult for AI to interpret consistently.
  • Simulated Empathy: Current AI systems simulate empathy by mimicking human responses rather than genuinely understanding emotions.
  • Ethical Concerns: Privacy risks arise from AI’s reliance on sensitive emotional data, making transparency and data security essential.

Applications and Insights from Research

Recent studies emphasize how empathetic algorithms can enhance human emotional intelligence by fostering emotional awareness and resilience. For instance:

  • Educational AI systems: Tailor learning environments to students’ emotional states, adapting content based on signs of frustration or confusion.
  • Healthcare applications: Use empathetic AI to assess patients’ emotional needs and deliver personalized support, improving outcomes for individuals with anxiety or depression.

Despite these advancements, challenges such as cultural biases in emotion recognition and the need for interdisciplinary collaboration remain key areas for growth.

Sources

  1. “Character.ai: Young people turning to AI therapist bots.” BBC. Accessed: Jan. 24, 2025. [Online.] Available: https://www.bbc.com/news/technology-67872693?utm_source=chatgpt.com
  2. ” ‘Maybe we can role-play something fun’: When an AI companion wants something more.” BBC. Accessed: Jan. 24, 2025. [Online.] Available: https://www.bbc.com/future/article/20241008-the-troubling-future-of-ai-relationships?utm_source=chatgpt.com
  3. “Replika CEO Eugenia Kuyda says it’s okay if we end up marrying AI chatbots.” The Verge. Accessed: Jan. 24, 2025. [Online.] Available: https://www.theverge.com/24216748/replika-ceo-eugenia-kuyda-ai-companion-chatbots-dating-friendship-decoder-podcast-interview?utm_source=chatgpt.com
  4. Velagaleit, S. B., Choukaier, D., Nuthakki, R., Lamba, V., Sharma, V., & Rahul, S. (2024). Empathetic Algorithms: The Role of AI in Understanding and Enhancing Human Emotional Intelligence. Journal of Electrical Systems, 20-3s, 2051–2060. https://doi.org/10.52783/jes.1806
  5. “Woebot Health – Mental Health Chatbot.” Woebot Health. Accessed: Jan. 24, 2025. [Online.] Available: https://woebothealth.com/
  6. “Wysa – Everyday Mental Health.” Wysa. Accessed: Jan. 24, 2025. [Online.] Available: https://www.wysa.com/

Blog Post 6: Security & Privacy in IoT: Protecting Data in a Connected World

Security & Privacy in IoT: Protecting Data in a Connected World

With the rise of smart home gadgets, connected industrial machines, and retail IoT solutions, security and privacy challenges have taken center stage. In this post, we’ll explore how IoT systems work from a security standpoint, the biggest risks and vulnerabilities—including issues raised by Wi-Fi, Zigbee, Z-Wave, and Bluetooth—and how companies handle user data. We’ll also touch on insights from a recent video discussing the reliance on 2.4GHz vs. 5GHz frequencies and how manufacturers sometimes rush products to market with suboptimal code or inadequate security features.


1. How IoT Security Works (in Theory)

IoT security involves protecting data that’s generated, processed, and shared among connected devices and cloud services. Typical layers of protection include:

  1. Device-Level Defenses

Secure Boot: Ensures firmware or software has not been tampered with.

Encryption: Protects data stored on or transmitted by the device.

Hardware Security Modules (HSMs): Stores cryptographic keys securely.

  1. Network Protections

Firewalls and Intrusion Detection: Spot unusual traffic patterns that might signal attacks.

Segmentation: Separates IoT devices from other critical systems on the network.

  1. Cloud & Backend

Cloud Encryption: Secures data at rest and in transit.

User Authentication: Ensures only authorized individuals or devices can access data.

  1. Update Mechanisms

Over-the-Air (OTA) Updates: Let manufacturers push security patches quickly, minimizing vulnerabilities.

In theory, if all these measures are consistently implemented, systems remain secure. But in practice, many IoT devices still fall short—especially when rushed to market.

2. Current Security Challenges

2.1 Network Protocol Vulnerabilities

Many IoT devices rely on Wi-Fi, Bluetooth, Zigbee, or Z-Wave for connectivity. While each protocol offers certain conveniences—like low power usage or wider coverage—they also come with limitations:

Wi-Fi (2.4GHz vs. 5GHz):

5GHz is faster and less crowded but has a shorter range. Some networks separate IoT devices on 2.4GHz while personal devices run on 5GHz—this can improve performance but also creates more complexity in managing security across two different network bands.

Zigbee & Z-Wave:

• These are popular for home automation due to low power consumption and mesh networking capabilities. However, they can be vulnerable to replay attacks or sniffing if not properly encrypted.

Bluetooth:

• Low-energy (BLE) devices sometimes use minimal security to remain efficient, making them susceptible to man-in-the-middle attacks if pairing or key exchange processes aren’t robust.

2.2 Rushed Product Development

From the industry observations, time-to-market pressures often lead companies to:

Write hastily-developed code that may have undiscovered bugs or no plan for security patching.

Use default or weak credentials (e.g., “admin/admin”).

Overlook firmware updates because “ship it now” takes precedence.

Prioritize easy setup over robust security measures, assuming users want hassle-free installations—often at the expense of proper encryption or authentication steps.

3. How Easy Is It to Hack IoT Devices?

It really depends on how well (or poorly) each device is secured. Common methods include:

  1. Credential Attacks

• Automated scripts brute-force common passwords or exploit default login credentials.

  1. Unpatched Software

• Attackers exploit known bugs in outdated firmware. Without OTA updates, these vulnerabilities persist indefinitely.

  1. Network Attacks

• Poorly secured Wi-Fi or open Bluetooth connections can be hijacked. Z-Wave and Zigbee devices may be intercepted if encryption is weak.

  1. Physical Tampering

• In a retail or public environment, an attacker might physically access a device, extracting keys or altering firmware.

Once an IoT device is compromised, it can become a springboard for larger network intrusions or a node in a massive botnet—like the Mirai Botnet—that leverages insecure IoT gadgets to launch large-scale attacks.

4. Data Privacy: Who Has Access and How It’s Used

4.1 Company Access to User Data

Yes, IoT companies typically have access to the data collected by their devices:

Usage Data: Frequency, duration, or context of device use (e.g., a fridge’s temperature history).

Personal Info: In certain cases, user location, voice recordings, or biometric data.

Environmental Data: Temperature, humidity, or foot traffic in a retail environment.

They use this data for:

  1. Product Improvement: Identifying bugs and optimizing performance.
  2. Targeted Marketing: Providing personalized offers based on usage patterns.
  3. Predictive Maintenance: In industrial or retail IoT contexts, scheduling repairs before failures occur.
  4. Analytics & Monetization: Aggregated data might be sold to third parties if privacy policies allow it.

4.2 Cloud Storage & Privacy Regulations

Cloud Storage: Data is usually encrypted, but misconfigurations (e.g., open S3 buckets) remain a constant risk.

Laws & Compliance: The GDPR in the EU and CCPA in California mandate user consent, data usage transparency, and the right to be forgotten. Manufacturers operating globally must align with multiple privacy regulations.

So data usage of the consumers are not mentioned by laws or marketing of the companies ignoring the fact. However, people are becoming more conscious about the data privacy. As it might lead to controlling user purchase ability of companies from all the information collected from them and lead to possible opinion control if missed used.

5. What’s Being Done About It?

5.1 Hardening Protocols

Better Encryption: New versions of Bluetooth and Zigbee incorporate stronger encryption and improved key exchange methods.

Certificate-Based Authentication: Devices use digital certificates instead of static keys or passwords, raising the bar for attackers.

5.2 Network Best Practices

Dedicated IoT Network: Separating IoT traffic onto different SSIDs or VLANs can limit damage if a device is breached. Local Network machine which is a new thing in era of data protection. Now we see companies release open source AI models that can be used on local machine and I believe based on the research data and moving trends. In the next 10-15 years all the new households fill have dedicated servers for locally run applications in the server. Through analog connection between devices and servers.

5.3 User Empowerment & Transparency

Privacy Controls: Let users opt out of data collection they don’t need.

Clear Instructions: Educate users about secure setup processes—like changing default settings or regularly updating firmware.

#07 Cross-Modal Perception

In a world saturated with data, harnessing multiple senses to process and interpret information is not just innovative—it’s essential. Cross-modal perception—the integration of sensory inputs such as vision, sound, and touch—has emerged as a powerful tool for designing multisensory systems that enhance our ability to detect patterns, navigate spatial and temporal relationships, and interpret complex datasets.

How Does Cross-Modal Perception Work?

Our senses, once thought to function independently, are now understood to be deeply interconnected. Neuroimaging studies reveal that sensory inputs like sound and touch can activate traditionally “unisensory” brain areas.

Sound Enhancing Vision: Auditory cues, such as a sharp tone, can draw visual attention to specific locations. This phenomenon, known as auditory-driven visual saliency, highlights the brain’s efficiency in synchronizing sensory inputs .

Touch Activating Visual Cortex: When engaging in tactile exploration, parts of the brain associated with visual processing (like the lateral occipital cortex) can light up. This cross-talk enriches our perception of texture, shape, and movement .

The brain’s metamodal organization—a task-based, rather than modality-specific, neural structure—allows for seamless sensory integration, enhancing our ability to interpret complex environments.

Applications of Cross-Modal Integration in Design

1. Auditory-Spatial Cues in Data Visualization:

Designers can pair sound with visuals to highlight spatial relationships or changes over time.

2. Tactile and Visual Synergy in 3D Models:

Haptic interfaces enable users to “feel” data through vibrations or pressure, while visual feedback reinforces spatial understanding. A tactile interface might allow users to explore the topography of a 3D map while receiving visual updates.

3. Dynamic Feedback in Collaborative Tools:

Platforms like interactive dashboards or 3D spaces can integrate synchronized sensory cues—such as visual highlights and audio alerts—to guide group decision-making and enhance collaboration.


Challenges:

Sensory Overload: Overlapping sensory inputs can overwhelm users, especially if the stimuli are not intuitively aligned.

Conflicting Cues: When sensory inputs are incongruent (e.g. an audio cue suggesting motion in one direction while a visual cue suggests another), they can disrupt perception rather than enhance it.

User Variability: People’s preferences and sensitivities to sensory stimuli differ, complicating universal design.

Best Practices:

1. Ensure Modality Congruence:

Align sensory inputs logically. For instance, a high-pitched sound should correspond to upward movement or increasing values, reinforcing intuitive associations.

2. Layer Sensory Stimuli Gradually:

Introduce sensory inputs in stages, starting with the most critical. Gradual layering prevents cognitive overload and helps users adapt to the system.

3. Test and Iterate:

Conduct user testing to assess how well sensory combinations work for the target audience. Iterative design ensures that cross-modal systems remain effective and user-friendly.


Multisensory Design

Cross-modal perception transforms data representation by leveraging the brain’s natural ability to integrate sensory information. From enhancing accessibility to uncovering hidden patterns, combining vision, sound, and touch opens up new possibilities for engaging, intuitive, and effective data experiences.


References

B. Baier, A. Kleinschmidt, and N. G. Müller, “Cross-Modal Processing in Early Visual and Auditory Cortices depends on Expected Statistical Relationship of Multisensory Information,” Journal of Neuroscience, vol. 26, no. 47, pp. 12260–12265, Nov. 22, 2006, doi: 10.1523/JNEUROSCI.1457-06.2006.

S. Lacey and K. Sathian, “Crossmodal and multisensory interactions between vision and touch,” Scholarpedia J., vol. 10, no. 3, p. 7957, 2015, doi: 10.4249/scholarpedia.7957

T. Hermann, A. Hunt, and J. G. Neuhoff, Eds., The Sonification Handbook, 1st ed. Berlin, Germany: Logos Publishing House, 2011, 586 pp., ISBN: 978-3-8325-2819-5.
https://sonification.de/handbook