Evaluation of the effects of age-friendly human-machine interfaces on the driver’s takeover performance in highly automated vehicles-Reference-Cited by-同舟云学术

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Evaluation of the effects of age-friendly human-machine interfaces on the driver’s takeover performance in highly automated vehicles

Published:2019-11 Issue: Volume:67 Page:78-100
ISSN:1369-8478
Container-title:Transportation Research Part F: Traffic Psychology and Behaviour
language:en
Short-container-title:Transportation Research Part F: Traffic Psychology and Behaviour

Author:

Li Shuo,Blythe Phil,Guo Weihong,Namdeo Anil,Edwards Simon,Goodman Paul,Hill Graeme

Funder

Newcastle University

Engineering and Physical Sciences Research Council

Department for Transport

Publisher

Elsevier BV

Subject

Applied Psychology,Transportation,Automotive Engineering,Civil and Structural Engineering

Reference80 articles.

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3. Difficulties experienced by older drivers during their regular driving and their expectations towards Advanced Driving Aid Systems and vehicle automation;Bellet;Transportation Research Part F: Traffic Psychology and Behaviour,2018

4. Bradley, M., Langdon, P. M. and Clarkson, P. J. (2016). An inclusive design perspective on automotive HMI trends. International Conference on Universal Access in Human-Computer Interaction. Cham. Springer, pp. 548–555.

5. Divided attention in experienced young and older drivers: Lane tracking and visual analysis in a dynamic driving simulator;Brouwer;Human Factors,1991

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2. Age-related differences in takeover performance: A comparative analysis of older and younger drivers in prolonged partially automated driving;Traffic Injury Prevention;2024-06-11

3. One Size Does Not Fit All: Designing and Evaluating Criticality-Adaptive Displays in Highly Automated Vehicles;Proceedings of the CHI Conference on Human Factors in Computing Systems;2024-05-11

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