Project: #13 Multimodal Detection of Driver Distraction Progress Report - Reporting Period Ending: Dec. 31, 2016 Principal Investigator: Maxine Eskenazi Status: Completed Start Date: Jan. 1, 2017 End Date: Aug. 31, 2018 Research Type: Advanced Grant Type: Research Grant Program: MAP-21 TSET National (2013 - 2018) Grant Cycle: 2016 TSET UTC Progress Report (Last Updated: March 18, 2019, 10:57 a.m.) % Project Completed to Date: 25 % Grant Award Expended: 15 % Match Expended & Document: 0 USDOT Requirements Accomplishments First part of dataset has been recorded. We have: driving the simulator, two questionnaires, annotating the recording - for each subject. Impacts This database should impact the field in the way we take variables that cause and result from distraction into account. At present one or two variables are examined at a time, rather than looking at the whole picture. With this tightly controlled database, it is possible to examine the affects that road conditions, speech and head and eye movements have on one another and then combine them with the driving out come as measured by the vehicle (steering, braking, etc). Other Outcomes New Partners Issues Nothing to report