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This project is focused on collecting multimodal behavioral data through voice messages. The data will be used to improve machine learning models for recognizing psychophysiological states such as stress, fatigue, and emotional arousal.
Number of participants who submitted data each day. Used to monitor engagement and participation dynamics.
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Total time of all recorded voice messages. Indicates users' willingness to share and reflect verbally.
Comparison between current and previous week’s voice activity. Helps identify temporal changes in behavior.