Affective Multimodal Counter-Strike video game dataset (AMuCS) - UniGe

This dataset is complementary to the main AMuCS dataset, and consists of data from 5 participants who did not give consent for sharing their data with other universities. Access is limited to researchers at the University of Geneva, Switzerland. If you a UNIGE researcher and want access please login with your Switch UNIGE account and press the request access button. Together with the main AMuCS dataset, the total number of participants is 250.

    Organizational unit
    SIMS - Social Intelligence and Multi-Sensing
    Type
    Dataset
    DOI
    10.26037/yareta:24lzzbry3varbe5nrty7virtfu
    Keywords
    multimodal, affective computing, video game, electrodermal activity, multiplayer, arousal, valence, ECG, EDA, eyetracking, gameplay, physiological signals
Publication date19/12/2022
Retention date
accessLevelClosedAccess levelClosed
SensitivityOrange
duaExternalContract on the use of data
External
Contributors
  • Fanourakis, Marios Aristogenis
  • Chanel, Guillaume orcid
Files
92 Files (17.2 GB)
0
0
  • Quality (0 Reviews)
  • Usefulness (0 Reviews)

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