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myStress : Unobtrusive Smartphone-based Stress Detection

Title data

Gimpel, Henner ; Regal, Christian ; Schmidt, Marco:
myStress : Unobtrusive Smartphone-based Stress Detection.
2015
Event: 23rd European Conference on Information Systems (ECIS) , 26.-29. May 2015 , Münster, Germany.
(Conference item: Conference , Speech )

Abstract in another language

Life is becoming increasingly stressful in many aspects, e.g., due to technology-induced stress and stress in organizational context. The assessment of stress experienced by individuals enables stress management and prevention with the long-term aim to avoid psychological and physiological harm from excessive stress. Commonly this assessment is performed through questionnaires on perceive stress or physiological measurements evaluating body reactions to tress. We explore a third assessment method: Our design cience approach aims to unobtrusively assess perceived stress based on smartphone data while waiving additional devices and explicit user input. The presented design rtefact, yStress, reads 36 hardware and software sensors to infer users’ perceived stress levels. A prototypical instantiation of myStress for the Android platform is distributed to test users. For evaluation purposes, the stress level additionally is determined by a questionnaire consisting of the Perceived Stress Scale. By analyzing data from test users, we gain first insights into the feasibility of unobtrusive, continuous stress assessment considering exclusively data from smartphone sensors. We find that several sensors seem to correlate with perceived stress, .g., the frequency of switching the display on/off. For future research, behavioral and situational prevention measures can build on this method of unobtrusive stress assessment.

Further data

Item Type: Conference item (Speech)
Refereed: Yes
Keywords: human stress detection; mobile sensing; smartphone application; design science
Institutions of the University: Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Research Institutions
Research Institutions > Affiliated Institutes
Research Institutions > Affiliated Institutes > Fraunhofer Project Group Business and Information Systems Engineering
Research Institutions > Affiliated Institutes > FIM Research Center Finance & Information Management
Faculties
Faculties > Faculty of Law, Business and Economics
Result of work at the UBT: No
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
300 Social sciences > 330 Economics
Date Deposited: 16 Jan 2018 13:58
Last Modified: 20 Dec 2018 09:57
URI: https://eref.uni-bayreuth.de/id/eprint/41624