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A Qualitative Insights of AI Sleep Pods for Stress Relief

Mingjing Qu

International Journal of Technology and Human Interaction2025https://doi.org/10.4018/ijthi.381094article
ABDC C
Weight
0.50

What the paper says

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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https://doi.org/https://doi.org/10.4018/ijthi.381094

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@article{mingjing2025,
  title        = {{A Qualitative Insights of AI Sleep Pods for Stress Relief}},
  author       = {Mingjing Qu},
  journal      = {International Journal of Technology and Human Interaction},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.4018/ijthi.381094},
}

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A Qualitative Insights of AI Sleep Pods for Stress Relief

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.