Toward Machine Emotional Intelligence: Analysis of Affective Physiological State
IEEE Transactions on Pattern Analysis and Machine Intelligence - Graph Algorithms and Computer Vision
Entertainment capture through heart rate activity in physical interactive playgrounds
User Modeling and User-Adapted Interaction
Log Who's Playing: Psychophysiological Game Analysis Made Easy through Event Logging
Proceedings of the 2nd International Conference on Fun and Games
Enjoyment recognition from physiological data in a car racing game
Proceedings of the 3rd international workshop on Affective interaction in natural environments
Affect Detection: An Interdisciplinary Review of Models, Methods, and Their Applications
IEEE Transactions on Affective Computing
The affective triad: stimuli, questionnaires, and measurements
ACII'11 Proceedings of the 4th international conference on Affective computing and intelligent interaction - Volume Part II
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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.