A Qualitative Insights of AI Sleep Pods for Stress Relief: Boosting Passenger Well-Being in Chinese Airports

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Author(s): Mingjing Qu (Xi'an International University, China)
Copyright: 2025
Volume: 21
Issue: 1
Pages: 23
Source title: International Journal of Technology and Human Interaction (IJTHI)
Editor(s)-in-Chief: Anabela Mesquita (ISCAP/IPP and Algoritmi Centre, University of Minho, Portugal)and Chia-Wen Tsai (Ming Chuan University, Taiwan)
DOI: 10.4018/IJTHI.381094

Keywords: Human Aspects of Technology / Information Science Reference / Social Sciences & Humanities

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Abstract

This qualitative study explores the effect of artificial intelligence (AI)-managed sleep pods on passenger stress and satisfaction in Chinese airports. Thirty interviews at Xi'an International Airport revealed that personalization, comfort, and privacy were significant qualities to possess. The findings indicate decreased stress, increased well-being, and the crucial role of cultural acceptance and trust in technology. Hence, a theoretical model generated by grounded theory plays the role of linking AI personalization to well-being, implying valuable knowledge for airport operators and AI-service designers. This study highlights the potential for AI to create personalized, stress-reducing environments, potentially offering practical solutions to enhance airport hospitality.

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A Qualitative Insights of AI Sleep Pods for Stress Relief: Boosting Passenger Well-Being in Chinese Airports

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