Computer ScienceProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT)
Detecting Users’ Emotional States during Passive Social Media Use
C. Gebhardt, A. Brombach, et al.
Passive social media can shape moods — this study introduces the first model to predict user emotions during passive social media consumption using only smartphone interaction and physiological signals. In a 29-participant experiment with an Instagram-like feed, the classifier detected up to eight emotional states with peak accuracy of 83% and identified shifts within eight seconds. Research conducted by Christoph Gebhardt, Andreas Brombach, Tiffany Luong, Otmar Hilliges, and Christian Holz.
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