Title | ||
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Simple Games – Complex Emotions: Automated Affect Detection Using Physiological Signals |
Abstract | ||
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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. |
Year | DOI | Venue |
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2015 | 10.1007/978-3-319-24589-8_29 | Lecture Notes in Computer Science |
Keywords | Field | DocType |
Objective game evaluation,Psycho-physiology,Affective gaming,Valence detection | Causality,User experience design,Simulation,Computer science,Cognitive psychology,Stimulus (physiology),Affect (psychology) | Conference |
Volume | ISSN | Citations |
9353 | 0302-9743 | 2 |
PageRank | References | Authors |
0.42 | 5 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
thomas friedrichs | 1 | 8 | 3.70 |
Carolin Zschippig | 2 | 2 | 0.75 |
Marc Herrlich | 3 | 102 | 23.59 |
Benjamin Walther-Franks | 4 | 68 | 9.91 |
Rainer Malaka | 5 | 493 | 92.68 |
Kerstin Schill | 6 | 183 | 25.15 |