Effects of various in-vehicle human–machine interfaces on drivers’ takeover performance and gaze pattern in conditionally automated vehicles-Reference-Cited by-同舟云学术

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Effects of various in-vehicle human–machine interfaces on drivers’ takeover performance and gaze pattern in conditionally automated vehicles

Published:2024-12 Issue: Volume:192 Page:103362
ISSN:1071-5819
Container-title:International Journal of Human-Computer Studies
language:en
Short-container-title:International Journal of Human-Computer Studies

Author:

Shi Jinlei,Chai Chunlei,Cai Ruiyi,Wei Haoran^ORCID,Zhou Youcheng,Fan Hao^ORCID,Zhang Wei,Merat Natasha

Publisher

Elsevier BV

Reference61 articles.

1. Eye tracking in driver attention research—how gaze data interpretations influence what we learn;Ahlström;Front. Neuroergonomics,2021

2. Automated driving – assessment of interaction concepts under real driving conditions;Albert;Procedia Manuf.,2015

3. From HMI to HMIs: towards an HMI framework for automated driving;Bengler;Information,2020

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

5. Towards standardized metrics for measuring takeover performance in conditionally automated driving: a systematic review;Cao;Proc. Human Factors Ergon. Soc. Annual Meet.,2021

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