A Human-Machine Trust Model Integrating Machine Estimated Performance-Reference-Cited by-同舟云学术

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A Human-Machine Trust Model Integrating Machine Estimated Performance

Published:2023-06-23 Issue: Volume: Page:
ISSN:
Container-title:2023 6th International Symposium on Autonomous Systems (ISAS)
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Author:

Chen Shaojun¹,Zhao Yun-Bo²,Wang Yang¹,Lu Junsen¹

Affiliation:

1. University of Science and Technology of China,Department of Automation,Hefei,China

2. University of Science and Technology of China, Institute of Artificial Intelligence Hefei Comprehensive National Science Center,Department of Automation,Hefei,China

Funder

Research and Development

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10164121/10164123/10164500.pdf?arnumber=10164500

Reference15 articles.

1. Formal Analysis of Models for the Dynamics of Trust Based on Experiences

2. To trust or not to trust a classifier;jiang;Advances in neural information processing systems,2018

3. OPTIMo: Online Probabilistic Trust Inference Model for Asymmetric Human-Robot Collaborations;xu;2007 2nd ACM/IEEE International Conference on Human-Robot Interaction (HRI) HRI,2015

4. Scikit-learn: Machine learning in python;pedregosa;The Journal of Machine Learning Research,2011

5. Human Trust-Based Feedback Control: Dynamically Varying Automation Transparency to Optimize Human-Machine Interactions

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