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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Friedrichs, T., Zschippig, C., Herrlich, M., Walther-Franks, B., Malaka, R., Schill, K. (2015). Simple Games – Complex Emotions: Automated Affect Detection Using Physiological Signals. In: Chorianopoulos, K., Divitini, M., Baalsrud Hauge, J., Jaccheri, L., Malaka, R. (eds) Entertainment Computing - ICEC 2015. ICEC 2015. Lecture Notes in Computer Science(), vol 9353. Springer, Cham. https://doi.org/10.1007/978-3-319-24589-8_29
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DOI: https://doi.org/10.1007/978-3-319-24589-8_29
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