Measuring Human-Robot Trust with the MDMT (Multi-Dimensional Measure of Trust)
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Abstract (arXiv)
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.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 25 Nov 2023.
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Citing papers per year: 2024: 2; 2025: 0; 2026: 2.
4 papers.
- 2024Robi Butler: Multimodal Remote Interaction with a Household Robot Assistantcited by 6
- 2026Warning labels shift perceptions of sycophantic AI, but not its influencecited by 2
- 2024Developing Autonomous Robot-Mediated Behavior Coaching Sessions with Harucited by 1
- 2026Individual-level interventions against sycophantic AI reduce its appeal but not its persuasivenesscited by 1
- 2026Individual-level interventions against sycophantic AI reduce its appeal but not its persuasiveness28 Jul 2026
- 2026Warning labels shift perceptions of sycophantic AI, but not its influence19 Jun 2026
- 2024Robi Butler: Multimodal Remote Interaction with a Household Robot Assistant30 Sep 2024
- 2024Developing Autonomous Robot-Mediated Behavior Coaching Sessions with Haru18 Feb 2024