User, Robot, Deployer: A New Model for Measuring Trust in HRI
David Cameron, Emily C. Collins

TL;DR
This paper introduces a new triad model for measuring trust in human-robot interaction, considering the roles of the user, robot, and deployer to capture trust dynamics more comprehensively.
Contribution
It proposes the User, Robot, Deployer model, expanding trust measurement beyond dyadic interactions to include the influence of the deployer's relationship and reputation.
Findings
The model predicts trust variations based on deployer-user relationships.
It offers a more complete framework for trust assessment in HRI.
Potential for improved trust calibration in HRI systems.
Abstract
There is an increasing interest in considering, implementing, and measuring trust in human-robot interaction (HRI). Typically, this centres on influencing user trust within the framing of HRI as a dyadic interaction between robot and user. We propose this misses a key complexity: a robot's trustworthiness may also be contingent on the user's relationship with, and opinion of, the individual or organisation deploying the robot. Our new HRI triad model (User, Robot, Deployer), offers novel predictions for considering and measuring trust more completely.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsHuman-Automation Interaction and Safety · Social Robot Interaction and HRI · Ethics and Social Impacts of AI
