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A multimodal dataset of EEG, eye-tracking, and physiological signals during naturalistic smartphone interactions
bioRxiv · · Preprint · Open access
Mishra, Gandhi + 1 more
Abstract ↗AI summary
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A synchronized multimodal dataset (ds007537) captures 64-channel EEG, eye-tracking, PPG, and GSR during 10 minutes of natural smartphone use and 5 minutes of relaxation in 23 participants.
- Why it matters: Neurophysiological dynamics during ecologically valid smartphone interaction are not well characterized, limiting multimodal studies of how neural, ocular, and autonomic signals change across real use.
- What they did: Twenty-three participants used their most frequently used smartphone app for 10 minutes, then passively viewed a standardized nature video for 5 minutes, while EEG, eye-tracking, PPG, and GSR were recorded and TTL-synchronized.
- The result: The publicly available, BIDS-organized dataset on OpenNeuro enables multimodal analysis of neural, ocular, and autonomic responses during smartphone interaction and subsequent relaxation, alongside trait measures like SAS and MPPUS.
The findingWhy it mattersWhat they didThe result
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