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Towards Designing a Mobile Stress Coping Assistant

Title data

Schmidt, Marco ; Berger, Michelle ; Görl, Lea ; Lahmer, Stefanie ; Gimpel, Henner:
Towards Designing a Mobile Stress Coping Assistant.
In: Proceedings of the 55th Hawaii International Conference on System Sciences (HICSS). - Honolulu, USA , 2022
ISBN 978-0-9981331-5-7

Official URL: Volltext

Abstract in another language

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.

Further data

Item Type: Article in a book
Refereed: Yes
Institutions of the University: Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Administration XVII - Information Systems and Value-Based Business Process Management
Research Institutions
Research Institutions > Affiliated Institutes
Research Institutions > Affiliated Institutes > Branch Business and Information Systems Engineering of Fraunhofer FIT
Research Institutions > Affiliated Institutes > FIM Research Center for Information Management
Faculties
Faculties > Faculty of Law, Business and Economics
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
300 Social sciences > 330 Economics
Date Deposited: 04 Oct 2021 10:21
Last Modified: 04 Dec 2024 06:02
URI: https://eref.uni-bayreuth.de/id/eprint/67155