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Simple Games – Complex Emotions: Automated Affect Detection Using Physiological Signals

Abstract : Understanding the impact of interaction mechanics on the user’s emotional state can aid in shaping the user experience. For eliciting the emotional state of a user, designers and researchers typically employ subjective or expert assessment. Yet these methods are typically applied after the user has finished the interaction, causing a delay between stimulus and assessment. Physiological measures potentially offer more reliable indication of a user’s affective state in real-time. We present an experiment to increase our understanding of the relation of certain stimuli and valence of induced emotions in games. For this we designed a simple game to induce negative and positive emotions in the player. The results show a high correspondence between our classification of participants’ physiological signals and subjective assessment. However, creating a clear causality between game elements and emotions is a daunting task, and our designs offer room for improvement.
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Thomas Friedrichs, Carolin Zschippig, Marc Herrlich, Benjamin Walther-Franks, Rainer Malaka, et al.. Simple Games – Complex Emotions: Automated Affect Detection Using Physiological Signals. 14th International Conference on Entertainment Computing (ICEC), Sep 2015, Trondheim, Norway. pp.375-382, ⟨10.1007/978-3-319-24589-8_29⟩. ⟨hal-01758436⟩

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