Measuring Human-Robot Trust with the MDMT (Multi-Dimensional Measure of Trust)
Robotics
2023-11-28 v1 Human-Computer Interaction
Abstract
We describe the steps of developing the MDMT (Multi-Dimensional Measure of Trust), an intuitive self-report measure of perceived trustworthiness of various agents (human, robot, animal). We summarize the evidence that led to the original four-dimensional form (v1) and to the most recent five-dimensional form (v2). We examine the measure's strengths and limitations and point to further necessary validations.
Keywords
Cite
@article{arxiv.2311.14887,
title = {Measuring Human-Robot Trust with the MDMT (Multi-Dimensional Measure of Trust)},
author = {Bertram F. Malle and Daniel Ullman},
journal= {arXiv preprint arXiv:2311.14887},
year = {2023}
}
Comments
In SCRITA 2023 Workshop Proceedings (arXiv:2311.05401) held in conjunction with 32nd IEEE International Conference on Robot & Human Interactive Communication, 08/28-31 2023, Busan (Korea)