Review of intrinsic motivation in simulation-based game testing

Shaghayegh Roohi, Jari Takatalo, Christian Guckelsberger, Perttu Hämäläinen

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussaConference contributionScientificvertaisarvioitu

9 Sitaatiot (Scopus)


This paper presents a review of intrinsic motivation in player modeling, with a focus on simulation-based game testing. Modern AI agents can learn to win many games; from a game testing perspective, a remaining research problem is how to model the aspects of human player behavior not explained by purely rational and goal-driven decision making. A major piece of this puzzle is constituted by intrinsic motivations, i.e., psychological needs that drive behavior without extrinsic reinforcement such as game score. We first review the common intrinsic motivations discussed in player psychology research and artificial intelligence, and then proceed to systematically review how the various motivations have been implemented in simulated player agents. Our work reveals that although motivations such as competence and curiosity have been studied in AI, work on utilizing them in simulation-based game testing is sparse, and other motivations such as social relatedness, immersion, and domination appear particularly underexplored.

OtsikkoProceedings of the 2018 CHI Conference on Human Factors in Computing Systems
AlaotsikkoEngage with CHI
ISBN (elektroninen)9781450356206
DOI - pysyväislinkit
TilaJulkaistu - 20 huhtikuuta 2018
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisuussa
TapahtumaACM SIGCHI Annual Conference on Human Factors in Computing Systems - Palais des Congrès de Montréal, Montreal, Kanada
Kesto: 21 huhtikuuta 201826 huhtikuuta 2018
Konferenssinumero: 36


ConferenceACM SIGCHI Annual Conference on Human Factors in Computing Systems


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