Emotion Detection: Application of the Valence Arousal Space for Rapid Biological Usability Testing to Enhance Universal Access

  • Authors:

  • Christian Stickel;Martin Ebner;Silke Steinbach-Nordmann;Gig Searle;Andreas Holzinger

  • Affiliations:

  • Social Learning/Computing and Information Services, Graz University of Technology, Graz, Austria A-8010;Social Learning/Computing and Information Services, Graz University of Technology, Graz, Austria A-8010;Fraunhofer Institute for Experimental Software Engineering (IESE), Kaiserslautern, Germany 67663;Institute of Medical Informatics, Statistics and Documentation, Research Unit HCI4MED Medical University Graz, Graz, Austria A-8036;Institute of Medical Informatics, Statistics and Documentation, Research Unit HCI4MED Medical University Graz, Graz, Austria A-8036

  • Venue:
  • UAHCI '09 Proceedings of the 5th International Conference on Universal Access in Human-Computer Interaction. Addressing Diversity. Part I: Held as Part of HCI International 2009
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

Emotion is an important mental and physiological state, influencing cognition, perception, learning, communication, decision making, etc. It is considered as a definitive important aspect of user experience (UX), although at least well developed and most of all lacking experimental evidence. This paper deals with an application for emotion detection in usability testing of software. It describes the approach to utilize the valence arousal space for emotion modeling in a formal experiment. Our study revealed correlations between low performance and negative emotional states. Reliable emotion detection in usability tests will help to prevent negative emotions and attitudes in the final products. This can be a great advantage to enhance Universal Access.