Stepping into the Digital Mirror: Illuminating Consumer Journeys in the Fabric of Augmented Fashion World.

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Title: Stepping into the Digital Mirror: Illuminating Consumer Journeys in the Fabric of Augmented Fashion World.
Authors: Memon, Zeeshan Hyder1 (AUTHOR), Hameed, Irfan2 (AUTHOR) irfanhameed.iu@gmail.com, Khan, Kamran3 (AUTHOR), Nadeem, Midhat4 (AUTHOR), Zuhudi, Nurul Wahidah Binti Mahmud2 (AUTHOR)
Source: International Journal of Human-Computer Interaction. Apr2026, Vol. 42 Issue 8, p5819-5836. 18p.
Subjects: Augmented reality, Fashion merchandising, Women's clothing, Satisfaction, Consumer behavior, Human behavior models
Abstract: Augmented reality (AR) offers consumers a realistic experience within virtual environments and is gaining popularity among fashion retailers. We used the Stimulus-Organism-Response (SOR) and Information System Success (ISS) models to identify the consequences of AR-app features and augmented quality. A sample of 389 female consumers using AR-apps from fashion retailers was analyzed using partial least squares structural equation modeling (PLS-SEM). The findings revealed that environmental stimuli like AR-app features and augmented quality are critical factors in developing organisms (satisfaction, attitudes, and perceived values), which lead to continuous usage intentions. Future research could explore consumer knowledge, ease of use, and perceived difficulty in addressing these concerns. This study offers a novel contribution by integrating the SOR and ISS models to examine consumer responses to augmented reality applications in the fashion retail sector. The study's findings hold valuable insights for fashion retailers, particularly those specializing in women's apparel. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Human-Computer Interaction is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Human-Computer+Interaction%22">International Journal of Human-Computer Interaction</searchLink>. Apr2026, Vol. 42 Issue 8, p5819-5836. 18p.
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  Data: <searchLink fieldCode="DE" term="%22Augmented+reality%22">Augmented reality</searchLink><br /><searchLink fieldCode="DE" term="%22Fashion+merchandising%22">Fashion merchandising</searchLink><br /><searchLink fieldCode="DE" term="%22Women's+clothing%22">Women's clothing</searchLink><br /><searchLink fieldCode="DE" term="%22Satisfaction%22">Satisfaction</searchLink><br /><searchLink fieldCode="DE" term="%22Consumer+behavior%22">Consumer behavior</searchLink><br /><searchLink fieldCode="DE" term="%22Human+behavior+models%22">Human behavior models</searchLink>
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  Data: Augmented reality (AR) offers consumers a realistic experience within virtual environments and is gaining popularity among fashion retailers. We used the Stimulus-Organism-Response (SOR) and Information System Success (ISS) models to identify the consequences of AR-app features and augmented quality. A sample of 389 female consumers using AR-apps from fashion retailers was analyzed using partial least squares structural equation modeling (PLS-SEM). The findings revealed that environmental stimuli like AR-app features and augmented quality are critical factors in developing organisms (satisfaction, attitudes, and perceived values), which lead to continuous usage intentions. Future research could explore consumer knowledge, ease of use, and perceived difficulty in addressing these concerns. This study offers a novel contribution by integrating the SOR and ISS models to examine consumer responses to augmented reality applications in the fashion retail sector. The study's findings hold valuable insights for fashion retailers, particularly those specializing in women's apparel. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of International Journal of Human-Computer Interaction is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1080/10447318.2025.2546656
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        Text: English
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        Type: general
      – SubjectFull: Fashion merchandising
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      – SubjectFull: Women's clothing
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              Text: Apr2026
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