In this paper we discuss several issues arisen during our most recent experiment concerning the estimation of player preference from physiological signals during a car racing game, to share our experience with the community and provide some insights on the experimental process. We present a selection of critical aspects that range from the choice of the task, to the definition of the questionnaire, to data acquisition. Thanks to the experience gained during the mentioned case study, we can give an extensive picture of which aspects can be considered in the design of similar experiments. The goal of this contribution is to provide guidelines for analogous experiments. © 2011 Springer-Verlag.
CITATION STYLE
Garbarino, M., Matteucci, M., & Bonarini, A. (2011). Affective preference from physiology in videogames: A lesson learned from the TORCS experiment. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6975 LNCS, pp. 528–537). https://doi.org/10.1007/978-3-642-24571-8_66
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