Error Type, Risk, Performance, and Trust: Investigating the Different Impacts of false alarms and misses on Trust and Performance
Zhao, Huajing; Azevedo-Sa, Hebert; Esterwood, Connor; Yang, X. Jessie; Robert, Lionel; Tilbury, Dawn
2019-06-28
Citation
Zhao, H., Azevedo-Sa, H., Esterwood, C., Yang, X. J., Robert, L. P., Tilbury, D. 2019. Error Type, Risk, Performance, and Trust: Investigating the Different Impacts of false alarms and misses on Trust and Performance, In Proceedings of the Ground Vehicle Systems Engineering and Technology Symposium (GVSETS 2019), NDIA, Novi, MI, Aug. 13-15, 2019.
Abstract
Semi-autonomous vehicles are intended to give drivers multitasking flexibility and to improve driving safety. Yet, drivers have to trust the vehicle’s autonomy to fully leverage the vehicle’s capability. Prior research on driver’s trust in a vehicle’s autonomy has normally assumed that the autonomy was without error. Unfortunately, this may be at times an unrealistic assumption. To address this shortcoming, we seek to examine the impacts of automation errors on the relationship between drivers’ trust in automation and their performance on a non-driving secondary task. More specifically, we plan to investigate false alarms and misses in both low and high risk conditions. To accomplish this, we plan to utilize a 2 (risk conditions) × 4 (alarm conditions) mixed design. The findings of this study are intended to inform Autonomous Driving Systems (ADS) designers by permitting them to appropriately tune the sensitivity of alert systems by understanding the impacts of error type and varying risk conditions.Publisher
GVSETS 2019
Subjects
semi-autonomous vehicles autonomous vehicles automated driving automated vehicles automation automation trust autonomous vehicles trust vehicle autonomy non-driving secondary task driver's trust Autonomous Driving Systems false alarms automation errors misses technology risk vehicle alert systems drivers multitasking vehicles human vehicle interactions human machine interaction human automation interaction vehicle trust self-driving car driving alter systems
Types
Article
Metadata
Show full item recordShowing items related by title, author, creator and subject.
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Jayaraman, Suresh; Creech, Chandler; Dawn, Tilbury; Yang, X. Jessie; Pradhan, Anuj; Tsui, Katherine; Robert, Lionel + "Jr" (Frontiers in Robotics and AI, 2019-10-25)
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Azevedo-Sa, Hebert; Jayaraman, Suresh; Esterwood, Connor; Yang, XI Jessie; Robert, Lionel + "Jr"; Tilbury, Dawn (International Journal of Social Robotics, 2020-09-19)
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Petersen, Luke; Robert, Lionel + "Jr"; Yang, X. Jessie; Tilbury, Dawn (SAE International Journal of Connected and Autonomous Vehicles, 2019-03-01)
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