Context-Adaptive Management of Drivers’ Trust in Automated Vehicles

Author:

Azevedo-Sa HebertORCID,Jayaraman Suresh KumaarORCID,Yang X. JessieORCID,Robert Lionel P.ORCID,Tilbury Dawn M.ORCID

Funder

National Science Foundation

Brazilian Army's Department of Science and Technology

Automotive Research Center

University of Michigan

U.S. Army Combat Capabilities Development Command

CCDC Ground Vehicle Systems Center

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Cited by 15 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Dynamic and quantitative trust modeling and real-time estimation in human-machine co-driving process;Transportation Research Part F: Traffic Psychology and Behaviour;2024-10

2. Reconciling Conflicting Intents: Bidirectional Trust-Based Variable Autonomy for Mobile Robots;IEEE Robotics and Automation Letters;2024-06

3. Evaluating the Impact of Personalized Value Alignment in Human-Robot Interaction: Insights into Trust and Team Performance Outcomes;Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction;2024-03-11

4. Spot Report: An Open-Source and Real-Time Secondary Task for Human-Robot Interaction User Experiments;Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction;2024-03-11

5. Enabling Human‐Aware Autonomy Through Cognitive Modeling and Feedback Control;Cyber–Physical–Human Systems;2023-06-09

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