Zen_Space: A Smartphone App for Individually Tailored Stress Management Support for College Students

McDaniel, Marguerite; Anwar, Mohd

doi:10.1007/978-3-319-67964-8_12

Cited by 1 publication

(1 citation statement)

References 4 publications

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“…Consequently, various scholars emphasize gamification and other behavior change techniques dedicated to keeping users engaged with using the app [3,25,26]. An interesting approach that falls out of the typical pattern in this category was described by McDaniel and Anwar [27], who describe a mobile app that delivers coping recommendations on demand based on user input on the specific stressful situation. Although the systems in this category do not suffice our MoCA definition because they do not collect sensor data, this research stream demonstrates that mobile systems are a valuable [28], effective [22,23], and desired [29] approach to support individuals' stress coping and that the inclusion of techniques to reinforce coping behavior [24,26] is crucial.…”

Section: Analysis Of Mobile Apps and Studies On Mobile Coping Supportmentioning

confidence: 99%

Towards Designing a Mobile Stress Coping Assistant

Schmidt¹,

Berger²,

Görl³

et al. 2022

Proceedings of the Annual Hawaii International Conference on System Sciences

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Stress is a major public health concern and a severe threat to everyone. Facilitated by their powerful sensing capabilities, mobile devices may assist individuals in coping with stress. Building on existing studies and mobile apps supporting stress coping, we propose the design of a mobile coping assistant that uses multimodal sensor data to reduce its user's stress. Based on sensor data, a mobile coping assistant (1) warns the user about elevated stress, (2) delivers a fundamental understanding of why they are currently stressed, (3) recommends targeted coping strategies to encourage and train effective coping behavior, and (4) executes automated actions to reduce stress exposure. The presented design comprises an architecture, good practices for designing the architectural components, and an algorithm for selecting adequate coping actions and recommendations. A prototypical instantiation indicates opportunities and challenges. Future research should evaluate the short-and long-term effectiveness of mobile coping assistants in the field.

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