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The Influence of Implicit and Explicit Biofeedback in First-Person Shooter Games
Helsinki Institute for Information Technology, Helsinki, Finland.
Helsinki Institute for Information Technology, Helsinki, Finland.
Helsinki Inst for Information Technology ,Finland.
Helsinki Inst for Information Technology, Finland.
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2010 (English)In: CHI2010: PROCEEDINGS OF THE 28TH ANNUAL CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, VOLS 1-4, Association for Computing Machinery (ACM), 2010, 859-868 p.Conference paper (Refereed)
Abstract [en]

To understand how implicit and explicit biofeedback work in games, we developed a first-person shooter (FPS) game to experiment with different biofeedback techniques. While this area has seen plenty of discussion, there is little rigorous experimentation addressing how biofeedback can enhance human computer interaction. In our two-part study, (N=36) subjects first played eight different game stages with two implicit biofeedback conditions, with two simulation-based comparison and repetition rounds, then repeated the two biofeedback stages when given explicit information on the biofeedback. The biofeedback conditions were respiration and skin-conductance (EDA) adaptations. Adaptation targets were four balanced player avatar attributes. We collected data with psychophysiological measures (electromyography, respiration, and EDA), a game experience questionnaire, and game-play measures. According to our experiment, implicit biofeedback does not produce significant effects in player experience in an FPS game. In the explicit biofeedback conditions, players were more immersed and positively affected, and they were able to manipulate the game play with the biosignal interface. We recommend exploring the possibilities of using explicit biofeedback interaction in commercial games.

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM), 2010. 859-868 p.
, Conference on Human Factors in Computing Systems - Proceedings, 2
Keyword [en]
Games, playing, affective computing, biosignals, biofeedback, implicit biofeedback, explicit biofeedback
National Category
Computer and Information Science
URN: urn:nbn:se:kth:diva-61280DOI: 10.1145/1753326.1753453ISI: 000281276700096ISBN: 978-1-60558-929-9OAI: diva2:478853
28th Annual CHI Conference on Human Factors in Computing Systems, CHI 2010; Atlanta, GA; 10 April 2010 through 15 April 2010
QC 20120120Available from: 2012-01-17 Created: 2012-01-17 Last updated: 2012-01-20Bibliographically approved

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Turpeinen, Marko
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