Entertainment Modeling through Physiology in Physical Play
- Georgios Yannakakis,
- John Hallam
Research Output:
Journal Article or Conference Article in Journal
Journal article
Peer-reviewPublication Information
Output type
Research Output:
Journal Article or Conference Article in Journal
Journal article
Peer-reviewOriginal language
EnglishPages from-to (Number of pages)
Pages 741-755Journal (Volume, Issue Number)
International Journal of Human-Computer Studies (Volume 66, Issue 10)Publication milestones
- Published - 2008
Publication status
Published - 2008
ISSN
1071-5819Publication IDs
- Scopus: 50349084761
Abstract
An investigation into capturing the relation of physiology, beyond heart rate recording, to expressed preferences of entertainment in children’s physical gameplay is presented in this paper. An exploratory survey experiment raises the difficulties of isolating elements derived (solely) from heart rate recordings attributed to reported entertainment and a control experiment for surmounting those difficulties is proposed. Then a survey experiment on a larger scale is devised where more physiological signals (Blood Volume Pulse and Skin Conductance) are collected and analyzed. Given effective data collection a set of numerical features is extracted from the child’s physiological state. A preference learning mechanism based on neuro-evolution is used to construct a function of single physiological features that models the players’ notion of ‘fun’ for the games under investigation. Performance of the model is evaluated by the degree to which the preferences predicted by the model match those expressed by the children. Results indicate that there appears to be increased mental/emotional effort in preferred games of children.
Publication metrics
PlumX
Captures
205
Citations
91
