A feasibility study in using facial expressions analysis to evaluate player experiences

Tan, CT; Rosser, D; Bakkes, S; Pisan, Y

A feasibility study in using facial expressions analysis to evaluate player experiences

Tan, CT Rosser, D Bakkes, S Pisan, Y

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Publication Type:: Conference Proceeding
Citation:: ACM International Conference Proceeding Series, 2012
Issue Date:: 2012-08-29

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Field	Value	Language
dc.contributor.author	Tan, CT	en_US
dc.contributor.author	Rosser, D	en_US
dc.contributor.author	Bakkes, S	en_US
dc.contributor.author	Pisan, Y https://orcid.org/0000-0002-9043-5803	en_US
dc.date.issued	2012-08-29	en_US
dc.identifier.citation	ACM International Conference Proceeding Series, 2012	en_US
dc.identifier.isbn	9781450314107	en_US
dc.identifier.uri	http://hdl.handle.net/10453/22973
dc.description.abstract	Current quantitative methods of measuring player experience in games are mostly intrusive to play and less suited to natural, non-laboratory play environments. This paper presents an initial study to validate the feasibility of using facial expressions analysis for evaluating player experiences. It builds on a prior position that video-based computer vision techniques can provide a less intrusive and more versatile solution for automatic evaluation of game user experiences. A user study was performed on an initial group of participants in a first-person puzzle shooter game (Portal 2) and a social drawing trivia game (Draw My Thing), and the results are shown to support our position. © 2012 ACM.	en_US
dc.relation.ispartof	ACM International Conference Proceeding Series	en_US
dc.relation.isbasedon	10.1145/2336727.2336732	en_US
dc.title	A feasibility study in using facial expressions analysis to evaluate player experiences	en_US
dc.type	Conference Proceeding
utslib.for	0899 Other Information and Computing Sciences	en_US
dc.location.activity	Auckland, New Zealand	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Software
pubs.organisational-group	/University of Technology Sydney/Strength - HCTD - Human Centred Technology Design
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

Current quantitative methods of measuring player experience in games are mostly intrusive to play and less suited to natural, non-laboratory play environments. This paper presents an initial study to validate the feasibility of using facial expressions analysis for evaluating player experiences. It builds on a prior position that video-based computer vision techniques can provide a less intrusive and more versatile solution for automatic evaluation of game user experiences. A user study was performed on an initial group of participants in a first-person puzzle shooter game (Portal 2) and a social drawing trivia game (Draw My Thing), and the results are shown to support our position. © 2012 ACM.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/22973