Dataset for "Sweating the Details: Emotion Recognition and the Influence of Physical Exertion in Virtual Reality Exergaming" and EmoSense SDK

Dataset

Description

All the raw participant data that was used for the EmoSense SDK and the CHI 2024 paper "Sweating the Details: Emotion Recognition and the Influence of Physical Exertion in Virtual Reality Exergaming". There is data for 72 participants.

Each participant has 10 csv files: 2 aggregated calibration, 2 raw calibration, 3 raw study - These files contain sensor measures under different conditions - and 3 affect response files - participant ground truth measures of affect.

Questionnaire_Data contains post exercise-bout measures of intrinsic motivation and flow.

Baseline_Affect_Data is prestudy participant ground truth affect measures.

Aggregated_Data contains an aggregate file of all participant data that was used for the analysis described in the CHI paper.
Date made available11 May 2024
PublisherUniversity of Bath

Contact

Access Dataset

  • 1 Chapter in a published conference proceeding

  • Sweating the Details: Emotion Recognition and the Influence of Physical Exertion in Virtual Reality Exergaming

    Potts, D., Broad, Z., Sehgal, T., Hartley, J., O'Neill, E., Jicol, C., Clarke, C. & Lutteroth, C., 11 May 2024, CHI 2024 - Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems: Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems. Floyd Mueller, F., Kyburz, P., Williamson, J. R., Sas, C., Wilson, M. L., Toups Dugas, P. & Shklovski, I. (eds.). New York, U. S. A., 21 p. 757. (Conference on Human Factors in Computing Systems - Proceedings).

    Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding

    Open Access

Cite this