Investigating Driver Takeover Performance by Using Transfer Entropy: A Study of Information Flow With Gaze Data

This dataset includes 45 trails of Hazard Takeover Events, which mainly include information flow (TE) of both unidirectional and bidirectional direction.<br> 17subjects (10 males, 7 females, age range:23-64, Mean =37.3, SD=10.6),recruitedfromuniversity, participated in this VR experiment.<br><br>In the folder of result:<br> - result index.xlsx: inclued the hazard trigger index, takeover index, and file path.<br>In the folder of TE data:<br> - the calculated transfer entropy result included.<br><br>And two sample codes to calculate information flow and effective TE are provided.<br> - information_flow_takeoer.R (R language)<br> - source_code.ipynb (Python language)<br><br>