A Human-Machine Trust Evaluation Method for High-Speed Train Drivers Based on Multi-Modal Physiological Information-Reference-Cited by-同舟云学术

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A Human-Machine Trust Evaluation Method for High-Speed Train Drivers Based on Multi-Modal Physiological Information

Published:2024-04-03 Issue: Volume: Page:1-18
ISSN:1044-7318
Container-title:International Journal of Human–Computer Interaction
language:en
Short-container-title:International Journal of Human–Computer Interaction

Author:

Li Huimin¹,Liang Mengxuan¹,Niu Ke²,Zhang Yaqiong²

Affiliation:

1. Department of Construction Engineering and Management, North China University of Water Resources and Electric Power, Zhengzhou, China

2. Zhengzhou Railway Vocational and Technical College, Zhengzhou, China

Funder

Key Science and Technology Program of Henan Province

Foundation of Henan Education Committee

Scientific Research Foundation of the Higher Education Institutions of Henan Province

Research Fund of Zhengzhou Railway Vocational & Technical College

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/10447318.2024.2327188

Reference92 articles.

1. A Classification Model for Sensing Human Trust in Machines Using EEG and GSR

2. Improving Human-Machine Collaboration Through Transparency-based Feedback – Part I: Human Trust and Workload Model

3. Analysis of the crash of TK 1951 using CATS

4. Real-Time Trust Prediction in Conditionally Automated Driving Using Physiological Measures

5. Real-Time Estimation of Drivers’ Trust in Automated Driving Systems

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