Can You Trust Your Trust Measure?
Meia Chita-Tegmark, Theresa Law, Nicholas Rabb, Matthias Scheutz

TL;DR
This paper evaluates the applicability of trust questionnaires in human-robot interaction, revealing limitations in their generalizability across different robot types and scenarios, and offers recommendations for improving trust measurement practices.
Contribution
It systematically examines how trust questionnaires perform across various robots and scenarios, highlighting their limitations and proposing guidelines for better trust assessment in HRI.
Findings
Participants rated questionnaire items as non-applicable depending on robot type and scenario.
Trust scores remained stable despite N/A ratings, indicating potential interpretative issues.
The study provides recommendations for developing and reporting trust measures in HRI.
Abstract
Trust in human-robot interactions (HRI) is measured in two main ways: through subjective questionnaires and through behavioral tasks. To optimize measurements of trust through questionnaires, the field of HRI faces two challenges: the development of standardized measures that apply to a variety of robots with different capabilities, and the exploration of social and relational dimensions of trust in robots (e.g., benevolence). In this paper we look at how different trust questionnaires fare given these challenges that pull in different directions (being general vs. being exploratory) by studying whether people think the items in these questionnaires are applicable to different kinds of robots and interactions. In Study 1 we show that after being presented with a robot (non-humanoid) and an interaction scenario (fire evacuation), participants rated multiple questionnaire items such as…
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.
