The effects of takeover request modalities on highly automated car control transitions

Author:

Yoon Sol Hee,Kim Young Woo,Ji Yong GuORCID

Funder

Graduate School of YONSEI University Research Scholarship

Publisher

Elsevier BV

Subject

Public Health, Environmental and Occupational Health,Safety, Risk, Reliability and Quality,Human Factors and Ergonomics

Reference31 articles.

1. Keep the driver in control: automating automobiles of the future;Banks;Appl. Ergon.,2016

2. Take-over requests in highly automated driving: a crowdsourcing survey on auditory, vibrotactile, and visual displays;Bazilinskyy;Transp. Res. Part F Traffic Psychol. Behav.,2018

3. Wizard of oz prototyping: how and when;Bernsen;Proc. CCI Working Papers Cognit. Sci./HCI,1994

4. Assisting drivers with ambient take-Over requests in highly automated driving;Borojeni,2016

5. Age differences in the takeover of vehicle control and engagement in non-driving-related activities in simulated driving with conditional automation;Clark;Accid. Anal. Prev.,2016

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1. Effects of various in-vehicle human–machine interfaces on drivers’ takeover performance and gaze pattern in conditionally automated vehicles;International Journal of Human-Computer Studies;2024-12

2. An interpretable prediction framework for multi-class situational awareness in conditionally automated driving;Advanced Engineering Informatics;2024-10

3. Text a Bit Longer or Drive Now? Resuming Driving after Texting in Conditionally Automated Cars;Proceedings of the 16th International Conference on Automotive User Interfaces and Interactive Vehicular Applications;2024-09-11

4. PREDICTOR: A tool to predict the timing of the take-over response process in semi-automated driving;Transportation Research Interdisciplinary Perspectives;2024-09

5. Effect of Takeover Request Time and Warning Modality on Trust in L3 Automated Driving;Human Factors: The Journal of the Human Factors and Ergonomics Society;2024-08-30

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