Bobbie Seppelt

Ford Motor Company (United States) — United States

Psychology · Social Sciences

20h-index1.9kcitations53works0.02yr avg
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Research Topics

Human-Automation Interaction and Safety(45), Traffic and Road Safety(22), Safety Warnings and Signage(16), Autonomous Vehicle Technology and Safety(10), Older Adults Driving Studies(5)

Publications53 total

Design for Human-Automation and Human-Autonomous Systems
Springer handbooks·2023· 7 cited
Exploring User Understanding of Advanced Driver Assistance Systems Iconography Using Novel Survey Methods
Transportation Research Record Journal of the Transportation Research Board·2021· 1 cited
Disengagement from driving when using automation during a 4-week field trial
Transportation Research Part F Traffic Psychology and Behaviour·2021· 39 cited
Driver’s Mental Model of Vehicle Automation
2020· 20 cited
Perceptions of Two Unique Lane Centering Systems: An FOT Interview Analysis
SAE technical papers on CD-ROM/SAE technical paper series·2020· 1 cited
Acceptance of Vehicle Automation: Effects of Demographic Traits, Technology Experience and Media Exposure
Proceedings of the Human Factors and Ergonomics Society Annual Meeting·2019· 47 cited
Driving Simulator Validation for In-Vehicle Human Machine Interface Assessment
Proceedings of the Human Factors and Ergonomics Society Annual Meeting·2019· 6 cited
Measuring Adult Drivers’ Use of Level 1 and 2 Driving Automation by Roadway Functional Class
Proceedings of the Human Factors and Ergonomics Society Annual Meeting·2019· 12 citedOpen Access
Consumer Use & Adoption of Advanced Vehicle Systems
2019
Rapid holistic perception and evasion of road hazards.
Journal of Experimental Psychology General·2019· 62 cited
Consumer Confusion with Levels of Vehicle Automation
2019· 15 cited
Consumer Comfort with Vehicle Automation: Changes Over Time
2019· 13 cited
In the Context of Whole Trips: New Insights Into Driver Management of Attention and Tasks
2019
Predicting road scenes from brief views of driving video
Journal of Vision·2019· 18 citedOpen Access
MIT Advanced Vehicle Technology Study: Large-Scale Naturalistic Driving Study of Driver Behavior and Interaction With Automation
IEEE Access·2019· 218 citedOpen Access
Keeping the driver in the loop: Dynamic feedback to support appropriate use of imperfect vehicle control automation
International Journal of Human-Computer Studies·2018· 106 citedOpen Access
The “Out-of-the-Loop” concept in automated driving: proposed definition, measures and implications
Cognition Technology & Work·2018· 247 citedOpen Access
The “Out-of-the-Loop” concept in automated driving: proposed definition, measures and implications
White Rose Research Online (University of Leeds, The University of Sheffield, University of York)·2018Open Access
Consumer Interest in Automation: Change Over One Year
Transportation Research Board 97th Annual MeetingTransportation Research Board·2018· 17 cited
MIT Autonomous Vehicle Technology Study: Large-Scale Deep Learning Based Analysis of Driver Behavior and Interaction with Automation
arXiv (Cornell University)·2017· 76 citedOpen Access
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Frequent Co-authors

Bryan Reimer(26), Bruce Mehler(25), Linda Angell(17), John D. Lee(13), Sean Seaman(11), Lex Fridman(9), Joonbum Lee(9), Joseph F. Coughlin(5), Trent Victor(4), Hillary Abraham(4), Joshua Hoffman(4), Daniel V. McGehee(3), Michael Glazer(3), Anthony Pettinato(3), Benjamin Wolfe(3), Ruth Rosenholtz(3), Johan Engström(2), Daniel E. Brown(2), William Angell(2), Spencer Dodd(2)