Using Trust to Determine User Decision Making & Task Outcome During a Human-Agent Collaborative Task
Author:
Affiliation:
1. University of Technology Sydney, Sydney, NSW, Australia
2. University of New South Wales, Sydney, NSW, Australia
Funder
Australian Government Research Training Program Scholarship
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3434073.3444673
Reference71 articles.
1. Improving Human-Machine Collaboration Through Transparency-based Feedback – Part II: Control Design and Synthesis
2. Direct and indirect methods to measure attitudes toward persons with disabilities, with an exegesis of the error-choice test method.
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2. Simulation Evidence of Trust Calibration: Using POMDP with Signal Detection Theory to Adapt Agent Features for Optimised Task Outcome During Human-Agent Collaboration;International Journal of Social Robotics;2023-08-16
3. Using Agent Features to Influence User Trust, Decision Making and Task Outcome during Human-Agent Collaboration;International Journal of Human–Computer Interaction;2023-01-11
4. No Evidence for an Effect of the Smell of Hexanal on Trust in Human–Robot Interaction;International Journal of Social Robotics;2022-09-15
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