Adding visual contextual information to continuous sonification feedback about low-reliability situations in conditionally automated driving: A driving simulator study

Author:

Chen Kuan-Ting,Chen Huei-Yen Winnie,Bisantz Ann

Publisher

Elsevier BV

Subject

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

Reference34 articles.

1. Bagheri, N., & Jamieson, G. A. (2004). The impact of context-related reliability on automation failure detection and scanning behaviour. 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No. 04CH37583), 1, 212–217. 10.1109/ICSMC.2004.1398299.

2. Chen, K.-T. (2021). Supporting Driver’s Understanding of the State of the Automated Driving System through Continuous Feedback [PhD Thesis]. State University of New York at Buffalo.

3. Manipulating music to communicate automation reliability in conditionally automated driving: A driving simulator study;Chen;International Journal of Human Computer Studies,2021

4. Usability evaluation of an emergency department information system prototype designed using cognitive systems engineering techniques;Clark;Applied Ergonomics,2017

5. Effects of non-driving-related tasks on takeover performance in different takeover situations in conditionally automated driving;Dogan;Transportation Research Part F: Traffic Psychology and Behaviour,2019

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1. A Review on the Development of the In-Vehicle Human-Machine Interfaces in Driving Automation: A Design Perspective;Proceedings of the 16th International Conference on Automotive User Interfaces and Interactive Vehicular Applications;2024-09-11

2. How to design driver takeover request in real-world scenarios: A systematic review;Transportation Research Part F: Traffic Psychology and Behaviour;2024-07

3. An analysis of physiological responses as indicators of driver takeover readiness in conditionally automated driving;Accident Analysis & Prevention;2024-02

4. A Situation Knowledge Graph Construction Mechanism with Context-Aware Services for Smart Cockpit;Lecture Notes in Computer Science;2024

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