Article thumbnail

LIFE-INTEGRATED STRESS ASSESSMENT

By Henner Gimpel, Christian Regal and Marco Schmidt

Abstract

Stress is an individual, societal, and economical problem and the main cause of psychological and physiological illnesses. First efforts towards technological support of stress management and stress-adaptive IT systems use smartphone data to assess stress, enabled by the vast amount of data produced by smartphones’ rich sensing capabilities. However, these systems require the user’s active cooperation. We aim at life-integrated, continuous, smartphone-based stress as-sessment, which does not influence the user’s daily habits. The proposed system uses hardware and software sensors to collect data on the user’s behavior and environmental context. A proto-type demonstrates the general feasibility of life-integrated mobile stress sensing and collects real-life evidence within a public field study, but also highlights that efficient resource consump-tion and privacy are even more important for unobtrusive applications. The evaluation of col-lected data yields a person-independent regression model that explains approximately 41 % of the variance in stress. A regression model built with the same data predicts perceived stress with an accuracy of 81 %. These results pave the way for the design of adaptive systems, which con-tinuously sense the individual’s mental state and execute regulating measures to better fit the user’s needs

Publisher: AIS Electronic Library (AISeL)
Year: 2019
OAI identifier: oai:aisel.aisnet.org:ecis2019_rp-1131
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • https://aisel.aisnet.org/ecis2... (external link)
  • https://aisel.aisnet.org/cgi/v... (external link)
  • Suggested articles


    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.