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Fall 2022: Dynamic Trust in Automated Driving

Affiliations: STEM Research Leadership
Project Leader: Yinsu Zhang
yinsu.zhang@tamu.edu
Industrial & Systems Engineering
Faculty Mentor: Ranjana Mehta, Ph.D.
Meeting Times:
TBD
Team Size:
5
Open Spots: 0
Special Opportunities:
Get to experience/develop on state-of -the-art high fidelity driving simulator; be part of the Neuroergonomics Lab and receive systematic trainings on multiple human physiological & behavioral measures (fNIRS, EEG, ECG, eye-tracking, etc.); opportunities to co-author on publications and attend conferences
Team Needs:
Interested in AV research. Familiar with Python and can utilize standard libraries (e.g. numpy, pandas) to perform data analysis
Description:
This project aims to explore and understand how driver’s trust towards autonomy builds, maintains, breaks, and repairs, in order to achieve a calibrated driver trust according to the autonomy capability

 

Written by:
Andrew McNeely
Published on:
August 19, 2022

Categories: FullTags: Fall 2022

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