Towards a nondisruptive, practical, and objective automated playtesting process

Tan, CT; Johnston, A

Towards a nondisruptive, practical, and objective automated playtesting process

Tan, CT Johnston, A

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Publication Type:: Conference Proceeding
Citation:: Artificial Intelligence in the Game Design Process - Papers from the 2011 AIIDE Workshop, 2011, pp. 25 - 28
Issue Date:: 2011-12-01

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Field	Value	Language
dc.contributor.author	Tan, CT	en_US
dc.contributor.author	Johnston, A https://orcid.org/0000-0001-8306-7507	en_US
dc.date.issued	2011-12-01	en_US
dc.identifier.citation	Artificial Intelligence in the Game Design Process - Papers from the 2011 AIIDE Workshop, 2011, pp. 25 - 28	en_US
dc.identifier.uri	http://hdl.handle.net/10453/19083
dc.description.abstract	Playtesting is the primary process that allows a game designer to access game quality. Current playtesting methods are often intrusive to play, involves much manual labor, and might not even portray the player's true feedback. This paper aims to alleviate these shortcomings by presenting the position that state of the art artificial intelligence techniques can construct automated playtesting systems that supplement or even substitute this process to a certain extent. Several potential research directions are proposed in this theme. A work-inprogress report is also included to demonstrate the conceptual feasibility of the potentials of this research area. © 2011, Association for the Advancement of Artificial Intelligence.	en_US
dc.relation.ispartof	Artificial Intelligence in the Game Design Process - Papers from the 2011 AIIDE Workshop	en_US
dc.title	Towards a nondisruptive, practical, and objective automated playtesting process	en_US
dc.type	Conference Proceeding
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
dc.location.activity	Stanford, USA	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 Computer Science
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:

Playtesting is the primary process that allows a game designer to access game quality. Current playtesting methods are often intrusive to play, involves much manual labor, and might not even portray the player's true feedback. This paper aims to alleviate these shortcomings by presenting the position that state of the art artificial intelligence techniques can construct automated playtesting systems that supplement or even substitute this process to a certain extent. Several potential research directions are proposed in this theme. A work-inprogress report is also included to demonstrate the conceptual feasibility of the potentials of this research area. © 2011, Association for the Advancement of Artificial Intelligence.

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http://hdl.handle.net/10453/19083