Exploring user experience through user-platform interactions in augmented reality : an interaction-engagement-intention model perspective

Kabir, Zian Shah

Exploring user experience through user-platform interactions in augmented reality : an interaction-engagement-intention model perspective

Kabir, Zian Shah

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Publication Type:: Thesis
Issue Date:: 2025

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Field	Value	Language
dc.contributor.author	Kabir, Zian Shah
dc.date.accessioned	2025-09-25T04:38:03Z
dc.date.available	2025-09-25T04:38:03Z
dc.date.issued	2025
dc.identifier.uri	http://hdl.handle.net/10453/190093
dc.description	University of Technology Sydney. Faculty of Engineering and Information Technology.	en_US.UTF-8
dc.description.abstract	This thesis explores a nuanced understanding within user-platform interactions of how augmented reality enhances user experience through cognitive and emotional engagements. This study uniquely addresses the consequences of AR interactions through sources of information toward users' continuance intention with the moderating effects of origin culture, age group, and acculturated culture in a multicultural society. This resulted in a robust and efficient way to explain user experience through immersive values that enhance the user retention process. An adaptive, inclusive, and integrated interaction-engagement-intention (I-E-I) model was developed, grounded on the stimulus-organism-response (SOR) framework, to advance theoretical knowledge on assessing user experience in the AR interaction paradigm. This study demonstrated an exploratory sequential approach that designed qualitative and quantitative methods to address the emerging field of study. As a result of the mixed-methodological approach, a reflexive thematic analysis and a partial least square–structural equation model (PLS-SEM) were adapted to accommodate theme generation, valuable insights, and statistical analysis. This study also applied a permutation multigroup analysis (MGA) to investigate the moderating effects of origin culture, age group, and acculturated culture. The results indicated that user-platform interaction through augmented reality positively and significantly impacts user experience on users’ attitude, satisfaction, and building trust, which consequently affects users’ continuance intention to use augmented reality mobile platforms. Further, the results suggest that users’ origin culture, age group, and acculturated culture moderate the relationships among sources of information, UX, and continuance intention in an AR environment. The study provides managerial insights that could identify multicultural adaptiveness with AR mobile platforms in a multicultural society. Even more, research outcomes may support UX designers, researchers, developers, solution providers, and marketing professionals to comprehend how AR enhances UX. Specifically, retailers and app developers can extend their analytical capacity to understand users’ flow of experiences and make more immersive engagement with user-platform interactions. Toward the end, this study discussed the theoretical implications and managerial contributions of research findings and presented directions for future research engagements.	en_US.UTF-8
dc.format	Thesis (PhD)
dc.language.iso	en_US	en_US.UTF-8
dc.relation	https://opus.lib.uts.edu.au/bitstream/10453/190093/1/thesis.pdf
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	The author owns the copyright in this thesis including all reproduction and reuse rights for the work. The work may not be altered without the permission of the copyright owner. Attribution is essential when quoting or paraphrasing from this thesis.
dc.rights	© 2025 Zian Shah Kabir
dc.rights	au.edu.uts.lib/cph
dc.title	Exploring user experience through user-platform interactions in augmented reality : an interaction-engagement-intention model perspective	en_US.UTF-8
dc.type	Thesis
utslib.copyright.status	open_access	*

Abstract:

This thesis explores a nuanced understanding within user-platform interactions of how augmented reality enhances user experience through cognitive and emotional engagements. This study uniquely addresses the consequences of AR interactions through sources of information toward users' continuance intention with the moderating effects of origin culture, age group, and acculturated culture in a multicultural society. This resulted in a robust and efficient way to explain user experience through immersive values that enhance the user retention process. An adaptive, inclusive, and integrated interaction-engagement-intention (I-E-I) model was developed, grounded on the stimulus-organism-response (SOR) framework, to advance theoretical knowledge on assessing user experience in the AR interaction paradigm. This study demonstrated an exploratory sequential approach that designed qualitative and quantitative methods to address the emerging field of study. As a result of the mixed-methodological approach, a reflexive thematic analysis and a partial least square–structural equation model (PLS-SEM) were adapted to accommodate theme generation, valuable insights, and statistical analysis. This study also applied a permutation multigroup analysis (MGA) to investigate the moderating effects of origin culture, age group, and acculturated culture. The results indicated that user-platform interaction through augmented reality positively and significantly impacts user experience on users’ attitude, satisfaction, and building trust, which consequently affects users’ continuance intention to use augmented reality mobile platforms. Further, the results suggest that users’ origin culture, age group, and acculturated culture moderate the relationships among sources of information, UX, and continuance intention in an AR environment. The study provides managerial insights that could identify multicultural adaptiveness with AR mobile platforms in a multicultural society. Even more, research outcomes may support UX designers, researchers, developers, solution providers, and marketing professionals to comprehend how AR enhances UX. Specifically, retailers and app developers can extend their analytical capacity to understand users’ flow of experiences and make more immersive engagement with user-platform interactions. Toward the end, this study discussed the theoretical implications and managerial contributions of research findings and presented directions for future research engagements.

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http://hdl.handle.net/10453/190093