Measuring Human-Robot Trust with the MDMT (Multi-Dimensional Measure of Trust)

Bertram F. Malle; Daniel Ullman

Measuring Human-Robot Trust with the MDMT (Multi-Dimensional Measure of Trust)

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arxiv 2311.14887 v1 pith:YDZV7NFK submitted 2023-11-25 cs.RO cs.HC

Bertram F. Malle , Daniel Ullman This is my paper · ORCID

classification cs.ROcs.HC

keywords measuretrustformmdmtmulti-dimensionalagentsanimaldescribe

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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.

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Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

Bias, Accuracy, and Trust: Gender-Diverse Perspectives on Large Language Models
cs.HC 2025-06 conditional novelty 6.0 of 10

Gender-diverse users perceive ChatGPT's gender bias differently, with non-binary/transgender participants reporting condescending and stereotypical responses, and men reporting higher trust.

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