Implementation of Artificial Intelligence in Fashion: Are Consumers Ready?

Liang, Yuli; Lee, Seung‐Hee; Workman, Jane E.

doi:10.1177/0887302x19873437

Cited by 81 publications

(79 citation statements)

References 48 publications

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“…When they evaluate a product, they do it more smoothly [40] and they are less sensitive to price. Highly involved individuals are more voluntarily and actively engaged in fashion-related activities-e.g., reading fashion news frequently or trying new fashion-related technologies [41]. Through the research of Celik and Kocaman [42], it was confirmed that fashion involvement can significantly impact technological readiness.…”

Section: Fashion Involvementmentioning

confidence: 90%

Who Uses Virtual Wardrobes? Investigating the Role of Consumer Traits in the Intention to Adopt Virtual Wardrobes

Bang

2022

Sustainability

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Over-consumption by consumers is a significant challenge to sustainability. Technology, such as that of virtual wardrobes, can suggest options that may reduce excessive consumption. A virtual wardrobe is a service that allows users to create and manage their wardrobes digitally. It also helps users to realize what they have in their wardrobes and can recommend appropriate styles of clothing for the users based on an analysis of the wardrobe. From the perspective of consumer characteristics, this research investigates what motivates consumers to adopt and use virtual wardrobes and proposes marketing strategies for addressing these behaviors. Fishbein’s attitude theory was used as a theoretical framework. By surveying 265 U.S. college students and using structural equation modeling analysis, the study shows that consumers’ socially responsible consumption behavior and personal innovativeness in information technology positively affect their attitude toward virtual wardrobes, which, in turn, increases their intention to use virtual wardrobes. However, their personal shopping value and fashion involvement have no significant impacts on consumers’ attitudes toward virtual wardrobes. The findings indicate that marketers of virtual wardrobes should highlight social responsibility and technological innovation in product and service promotions. By gaining insight into their wardrobes, consumers can be more strategic about clothing consumption, use, and disposal.

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Section: Fashion Involvementmentioning

confidence: 90%

Who Uses Virtual Wardrobes? Investigating the Role of Consumer Traits in the Intention to Adopt Virtual Wardrobes

Bang

2022

Sustainability

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“…And the usage of AI based applications does not stop there: in the entertainment industry, music (AIVA, n.d.), movies (Rondinella, 2016), and even artwork (Hildebrand, 2015) is now created using the help of AI. Furthermore, fields like quantum mechanics (Duniko & Briegel, 2018), agriculture (Jha et al, 2019), housing (Callaghan et al, 2001), chemistry (de Almeida et al, 2019), education (Zawaki-Richter et al, 2019), sports (Bartlett, 2006), and fashion (Liang et al, 2020) are all benefiting from AI. Usage of AI based applications is on a steep increase, with estimates suggesting that by the year 2023, around eight billion digital voice assistants will be in use globally (Virtual Assistant Technology -Statistics & Facts, 2020).…”

Section: Artificial Intelligence Applicationsmentioning

confidence: 99%

An Artificial Intelligence Perspective: How Knowledge and Confidence Shape Risk and Opportunity Perception

Said¹,

Potinteu²,

Brich³

et al. 2022

Preprint

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Artificial intelligence (AI) applications are increasingly used in everyday life. Whereas some of them are widely accepted (e.g., automatically compiled playlists), others are highly controversial (e.g., use of AI in the classroom). While public discourse is dominated by perceptions of the risks associated with AI, we take a fundamentally different approach of measuring the perceived risks and opportunities of AI applications considering people's knowledge and confidence in their own knowledge. To this end, we assessed in two studies (N = 394 and N = 437) how knowledge about AI as well confidence in AI knowledge is related to participants risk-opportunity perception of AI scenarios from three domains: media, medicine, and autonomous driving. Results showed that both AI knowledge and confidence in AI knowledge are important predictors regarding people’s risk-opportunity perception beyond people's attitudes towards AI. More specifically, people with more knowledge about AI exhibited a so-called risk blindness in that they were underestimating the risks. On the other hand, higher confidence in ones’ AI knowledge impacted participants opportunity perception. Knowledge and confidence thus open a new dimension of understanding people’s perception of risks and opportunities in AI.

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“…AES standard is an important criterion for consumers to evaluate clothing because clothing is an important means of visual communication. 29 AES of clothing includes color, style, design, and other elements. AES attributes of clothing, such as color, style, and fabric, are the most important criteria for women to purchase clothing.…”

Section: Research Model and Hypothesesmentioning

confidence: 99%

Toward parent-child smart clothing: Purchase intention and design elements

Wang

2021

Journal of Engineered Fibers and Fabrics

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Through the analysis of consumers’ attitude (ATT) and purchase intention (PI) toward parent-child smart clothing, this research reversely derives and extracts the design elements of this type of clothing. This research expands the category of Technology Acceptance Model (TAM) with clothing design attribute. Based on perceived usefulness (PU), perceived ease of use (PE) and perceived performance risk (PR), functionality (FUN), aesthetic (AES) and compatibility (COM) of clothing are added to analyze the factors affecting consumers’ ATT and PI toward parent-child smart clothing. A total of 372 volunteers participated in the test, and the results show that COM has a significant positive influence on PU, PE and PR. PU and FUN have a positive influence on purchase ATT and PI. PE positively affects PU and positively affects purchase ATT. PE positively affects PU and positively affects purchase ATT.AES positively influences purchase ATT but has little impact on PI. PR negatively influences both purchase ATT and PI but have little impact on PI. This research confirms the significance of multi-dimensional features of smart parent-child clothing, extracts and preliminarily establishes the framework model of design evaluation elements. And the results are helpful to the product design and development of parent-child smart clothing in the future.

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Implementation of Artificial Intelligence in Fashion: Are Consumers Ready?

Cited by 81 publications

References 48 publications

Who Uses Virtual Wardrobes? Investigating the Role of Consumer Traits in the Intention to Adopt Virtual Wardrobes

Who Uses Virtual Wardrobes? Investigating the Role of Consumer Traits in the Intention to Adopt Virtual Wardrobes

An Artificial Intelligence Perspective: How Knowledge and Confidence Shape Risk and Opportunity Perception

Toward parent-child smart clothing: Purchase intention and design elements

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