Evaluating the Impact of Personalized Value Alignment in Human-Robot Interaction: Insights into Trust and Team Performance Outcomes
Author:
Affiliation:
1. University of Michigan, Ann Arbor, MI, USA
2. Air Force Research Laboratory, Wright-Patterson AFB, OH, USA
3. University of Miami, Miami, FL, USA
Funder
Air Force Office of Scientific Research
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3610977.3634921
Reference45 articles.
1. Improving Human-Machine Collaboration Through Transparency-based Feedback – Part I: Human Trust and Workload Model
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3. A survey of inverse reinforcement learning: Challenges, methods and progress
4. Context-Adaptive Management of Drivers’ Trust in Automated Vehicles
5. Clustering Trust Dynamics in a Human-Robot Sequential Decision-Making Task
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1. Evaluating the Influence of Incorrect Reassurances on Trust in Imperfect Automated Decision Aid;Proceedings of the Human Factors and Ergonomics Society Annual Meeting;2024-08-12
2. May I Ask a Follow-up Question? Understanding the Benefits of Conversations in Neural Network Explainability;International Journal of Human–Computer Interaction;2024-08-08
3. A framework for trust-related knowledge transfer in human–robot interaction;Autonomous Agents and Multi-Agent Systems;2024-05-29
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