Investigating Driver Takeover Performance by Using Transfer Entropy: A Study of Information Flow With Gaze Data
Principal Investigator(s): View help for Principal Investigator(s) Kai Zhen
Version: View help for Version V2
Version Title: View help for Version Title 2.0
| Name | File Type | Size | Last Modified |
|---|---|---|---|
| TE data | 04/24/2025 03:03:AM | ||
| result | 04/24/2025 03:04:AM | ||
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text/x-rsrc | 2.9 KB | 04/23/2025 11:03:PM |
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text/plain | 3.1 MB | 04/23/2025 11:03:PM |
Project Citation:
Zhen, Kai. Investigating Driver Takeover Performance by Using Transfer Entropy: A Study of Information Flow With Gaze Data. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2025-04-26. https://doi.org/10.3886/E227561V2
Project Description
Summary:
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This dataset includes 45 trails of Hazard Takeover Events, which mainly include information flow (TE) of both unidirectional and bidirectional direction.
17subjects (10 males, 7 females, age range:23-64, Mean =37.3, SD=10.6),recruitedfromuniversity, participated in this VR experiment.
In the folder of result:
- result index.xlsx: inclued the hazard trigger index, takeover index, and file path.
In the folder of TE data:
- the calculated transfer entropy result included.
And two sample codes to calculate information flow and effective TE are provided.
- information_flow_takeoer.R (R language)
- source_code.ipynb (Python language)
17subjects (10 males, 7 females, age range:23-64, Mean =37.3, SD=10.6),recruitedfromuniversity, participated in this VR experiment.
In the folder of result:
- result index.xlsx: inclued the hazard trigger index, takeover index, and file path.
In the folder of TE data:
- the calculated transfer entropy result included.
And two sample codes to calculate information flow and effective TE are provided.
- information_flow_takeoer.R (R language)
- source_code.ipynb (Python language)
Scope of Project
Subject Terms:
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Transfer Entropy;
Takeover;
Eye Tracking
Geographic Coverage:
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Tianjin,China
Methodology
Response Rate:
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This dataset includes 45 trails of Hazard Takeover Events, which mainly include information flow (TE) of both unidirectional and bidirectional direction.
17subjects (10 males, 7 females, age range:23-64, Mean =37.3, SD=10.6),recruitedfromuniversity, participated in this VR experiment.
17subjects (10 males, 7 females, age range:23-64, Mean =37.3, SD=10.6),recruitedfromuniversity, participated in this VR experiment.
Related Publications
Release of this data has been delayed until 05/09/2025 at the request of the depositor.
Published Versions
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This material is distributed exactly as it arrived from the data depositor. ICPSR has not checked or processed this material. Users should consult the investigator(s) if further information is desired.