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- Title
Reading Emotion From Mouse Cursor Motions: Affective Computing Approach.
- Authors
Yamauchi, Takashi; Xiao, Kunchen
- Abstract
Abstract: Affective computing research has advanced emotion recognition systems using facial expressions, voices, gaits, and physiological signals, yet these methods are often impractical. This study integrates mouse cursor motion analysis into affective computing and investigates the idea that movements of the computer cursor can provide information about emotion of the computer user. We extracted 16–26 trajectory features during a choice‐reaching task and examined the link between emotion and cursor motions. Participants were induced for positive or negative emotions by music, film clips, or emotional pictures, and they indicated their emotions with questionnaires. Our 10‐fold cross‐validation analysis shows that statistical models formed from “known” participants (training data) could <italic>predict</italic> nearly 10%–20% of the variance of positive affect and attentiveness ratings of “unknown” participants, suggesting that cursor movement patterns such as the area under curve and direction change help infer emotions of computer users.
- Subjects
AFFECTIVE computing; HUMAN-computer interaction; EMOTION recognition; FACIAL expression; LANGUAGE &; emotions
- Publication
Cognitive Science, 2018, Vol 42, Issue 3, p771
- ISSN
0364-0213
- Publication type
Article
- DOI
10.1111/cogs.12557