Measuring Trust for Exoskeleton Systems
Leia Stirling, Man I Wu, Xiangyu Peng

TL;DR
This paper discusses how to measure trust in wearable exoskeleton systems, emphasizing the importance of understanding trust dimensions to improve human-robot interaction and support actionable insights.
Contribution
It identifies key trust dimensions and attributes specific to exoskeletons, guiding future trust measurement approaches for wearable robotic systems.
Findings
Trust attributes specific to exoskeletons are proposed.
Framework for interpreting trust across different robotic roles.
Highlights importance of tailored trust measures for wearable robots.
Abstract
Wearable robotic systems are a class of robots that have a tight coupling between human and robot movements. Similar to non-wearable robots, it is important to measure the trust a person has that the robot can support achieving the desired goals. While some measures of trust may apply to all potential robotic roles, there are key distinctions between wearable and non-wearable robotic systems. In this paper, we considered the dimensions and sub-dimensions of trust, with example attributes defined for exoskeleton applications. As the research community comes together to discuss measures of trust, it will be important to consider how the selected measures support interpreting trust along different dimensions for the variety of robotic systems that are emerging in the field in a way that leads to actionable outcomes.
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
TopicsArtificial Intelligence in Healthcare and Education · Healthcare Decision-Making and Restraints · Biomedical Ethics and Regulation
