Towards a Non-Disruptive, Practical and Objective Automated Playtesting Process

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dc.contributor.author Tan, Chek Tien en_US
dc.contributor.author Johnston, Andrew en_US
dc.contributor.editor Vadim Bulitko, Conference Chair and Mark Riedl, Program Chair en_US
dc.date.accessioned 2012-10-12T03:36:12Z
dc.date.available 2012-10-12T03:36:12Z
dc.date.issued 2011 en_US
dc.identifier 2010006408 en_US
dc.identifier.citation Tan Chek Tien and Johnston Andrew 2011, 'Towards a Non-Disruptive, Practical and Objective Automated Playtesting Process', , AAAI Press, USA, , pp. 25-28. en_US
dc.identifier.issn - en_US
dc.identifier.other E1 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. en_US
dc.language en_US
dc.publisher AAAI Press en_US
dc.relation.isbasedon NA en_US
dc.title Towards a Non-Disruptive, Practical and Objective Automated Playtesting Process en_US
dc.parent Proceedings of The Artificial Intelligence and Interactive Digital Entertainment Conference - Workshops at the Seventh Artificial Intelligence and Interactive Digital Entertainment Conference en_US
dc.journal.volume en_US
dc.journal.number en_US
dc.publocation USA en_US
dc.identifier.startpage 25 en_US
dc.identifier.endpage 28 en_US
dc.cauo.name FEIT.School of Software en_US
dc.conference Verified OK en_US
dc.for 080199 en_US
dc.personcode 111813 en_US
dc.personcode 020536 en_US
dc.percentage 50 en_US
dc.classification.name Artificial Intelligence and Image Processing not elsewhere classified en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom Artificial Intelligence and Interactive Digital Entertainment Conference en_US
dc.date.activity 20111010 en_US
dc.location.activity Stanford, USA en_US
dc.description.keywords NA en_US
dc.staffid en_US
dc.staffid 020536 en_US


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