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.

Affective Preference from Physiology in Videogames: A Lesson Learned from the TORCS Experiment

GARBARINO, MAURIZIO;MATTEUCCI, MATTEO;BONARINI, ANDREA
2011-01-01

Abstract

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.
Affective Computing and Intelligent Interaction
9783642245701
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/608366
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