Abstract
Emotions are important mental and physiological states influencing perception and cognition and have been a topic of interest in Human-Computer Interaction (HCI) for some time. Popular examples include stress detection or affective computing. The use of emotional effects for various applications in decision support systems is of increasing interest. Emotional and affective states represent very personal data and could be used for burn-out prevention. In this paper we report on first results and experiences of our EMOMES project, where the goal was to design and develop an end-user centered mobile software for interactive visualization of physiological data. Our solution was a star-plot visualization, which has been tested with data from N=50 managers (aged 25-55) taken during a burn-out prevention seminar. The results demonstrate that the leading psychologist could obtain insight into the data appropriately, thereby providing support in the prevention of stress and burnout syndromes.
Original language | English |
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Title of host publication | Multidisciplinary Research and Practice for Information Systems Lecture Notes in Computer Science LNCS 8127 |
Editors | Alfredo Cuzzocrea |
Place of Publication | Heidelberg, Berlin, New York |
Publisher | Springer |
Pages | 469-480 |
Volume | 8127 |
Edition | 1 |
ISBN (Electronic) | 978-3-642-40511-2 |
ISBN (Print) | 978-3-642-40510-5 |
DOIs | |
Publication status | Published - 2013 |
Keywords
- Knowledge Discovery
- Health Informatics
- Stress
- low-cost sensors
ASJC Scopus subject areas
- Computer Science Applications
Fields of Expertise
- Human- & Biotechnology
Treatment code (Nähere Zuordnung)
- Application
- Experimental