On Interactive Data Visualization of Physiological Low-Cost-Sensor Data with Focus on Mental Stress

Andreas Holzinger, Manuel Bruschi, Eder Wolfgang

Research output: Chapter in Book/Report/Conference proceedingChapter

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 languageEnglish
Title of host publicationMultidisciplinary Research and Practice for Information Systems Lecture Notes in Computer Science LNCS 8127
EditorsAlfredo Cuzzocrea
Place of PublicationHeidelberg, Berlin, New York
PublisherSpringer
Pages469-480
Volume8127
Edition1
ISBN (Electronic)978-3-642-40511-2
ISBN (Print)978-3-642-40510-5
DOIs
Publication statusPublished - 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

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