Speaking of Trust -- Speech as a Measure of Trust
Ella Velner, Khiet P. Truong, Vanessa Evers

TL;DR
This paper proposes using speech cues as an objective, real-time measure of trust in human-robot interaction, aiming to improve robot calibration while addressing ethical concerns.
Contribution
It introduces a novel approach to quantify trust through speech analysis, enabling real-time calibration of robots in human interactions.
Findings
Speech cues can indicate trust levels in real-time
Potential for improved robot calibration based on trust measurement
Raises ethical considerations for trust monitoring
Abstract
Since trust measures in human-robot interaction are often subjective or not possible to implement real-time, we propose to use speech cues (on what, when and how the user talks) as an objective real-time measure of trust. This could be implemented in the robot to calibrate towards appropriate trust. However, we would like to open the discussion on how to deal with the ethical implications surrounding this trust measure.
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
TopicsEthics and Social Impacts of AI · Human-Automation Interaction and Safety · Cognitive Functions and Memory
