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Experience Assessment and Design in the Analysis of Gameplay
University of Helsinki, Finland / Aalto University, Helsinki, Finland.
University of Helsinki, Finland / Helsinki Institute for Information Technology, Finland.
Södertörns högskola, Institutionen för naturvetenskap, miljö och teknik, Medieteknik. Aalto University, Helsinki, Finland.ORCID-id: 0000-0002-5247-6807
Aalto University, Helsinki, Finland.
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2014 (engelsk)Inngår i: Journal Simulation & Gaming, ISSN 1046-8781, E-ISSN 1552-826X, Vol. 45, nr 1, s. 41-69Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

We report research on player modeling using psychophysiology and machine learning, conducted through interdisciplinary collaboration between researchers of computer science, psychology, and game design at Aalto University, Helsinki. First, we propose the Play Patterns And eXperience (PPAX) framework to connect three levels of game experience that previously had remained largely unconnected: game design patterns, the interplay of game context with player personality or tendencies, and state-of-the-art measures of experience (both subjective and non-subjective). Second, we describe our methodology for using machine learning to categorize game events to reveal corresponding patterns, culminating in an example experiment. We discuss the relation between automatically detected event clusters and game design patterns, and provide indications on how to incorporate personality profiles of players in the analysis. This novel interdisciplinary collaboration combines basic psychophysiology research with game design patterns and machine learning, and generates new knowledge about the interplay between game experience and design.

sted, utgiver, år, opplag, sider
2014. Vol. 45, nr 1, s. 41-69
Emneord [en]
behavior patterns, computer science, event clusters, experiment, game design, game experience, gameplay patterns, interdisciplinarity, machine learning, personality profiles, PPAX framework, psychophysiology
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URN: urn:nbn:se:sh:diva-21268DOI: 10.1177/1046878113513936Scopus ID: 2-s2.0-84897604090OAI: oai:DiVA.org:sh-21268DiVA, id: diva2:698740
Tilgjengelig fra: 2014-02-25 Laget: 2014-01-11 Sist oppdatert: 2018-01-11bibliografisk kontrollert

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