Predicting Takeover Performance in Conditionally Automated Driving - researchr publication related

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Na Du, Feng Zhou 0003, Elizabeth Pulver, Dawn M. Tilbury, Lionel P. Robert, Anuj K. Pradhan, X. Jessie Yang. Predicting Takeover Performance in Conditionally Automated Driving. In Regina Bernhaupt, Florian 'Floyd' Mueller, David Verweij, Josh Andres, Joanna McGrenere, Andy Cockburn, Ignacio Avellino, Alix Goguey, Pernille Bjøn, Shengdong Zhao, Briane Paul Samson, Rafal Kocielnik, editors, Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, CHI 2020, Honolulu, HI, USA, April 25-30, 2020. pages 1-8, ACM, 2020. [doi]

The following publications are possibly variants of this publication:

Predicting Driver Takeover Time in Conditionally Automated DrivingJackie Ayoub, Na Du, X. Jessie Yang, Feng Zhou 0003. tits, 23(7):9580-9589, 2022. [doi]

Evaluating Effects of Cognitive Load, Takeover Request Lead Time, and Traffic Density on Drivers' Takeover Performance in Conditionally Automated DrivingNa Du, Jinyong Kim, Feng Zhou 0003, Elizabeth Pulver, Dawn M. Tilbury, Lionel P. Robert, Anuj K. Pradhan, X. Jessie Yang. automotiveUI 2020: 66-73 [doi]

Using Eye-Tracking Data to Predict Situation Awareness in Real Time During Takeover Transitions in Conditionally Automated DrivingFeng Zhou 0003, X. Jessie Yang, Joost C. F. de Winter. tits, 23(3):2284-2295, 2022. [doi]

Take over Gradually in Conditional Automated Driving: The Effect of Two-stage Warning Systems on Situation Awareness, Driving Stress, Takeover Performance, and AcceptanceShu Ma, Wei Zhang, Zhen Yang, Chunyan Kang, Changxu Wu, Chunlei Chai, Jinlei Shi, Yilin Zeng, Hongting Li. IJHCI, 37(4):352-362, 2021. [doi]

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