Measuring Human-Computer Trust

By M. Madsen, Shirley Gregor. 2000

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Citations in the corpus

In AI We Trust? Factors That Influence Trustworthiness of AI-infused Decision-Making Processes (2019, methodology): “Muir [31], Madsen & Gregor [26], and Kelly et al. [20] argued that trust formation also depended upon machine competence (i.e., the extent to which it does its job properly).”
Would You Trust a (Faulty) Robot? Effects of Error, Task Type and Personality on Human-Robot Cooperation and Trust (2015, methodology): “Single Items: We selected further single items from the Madsen and Gregor [16] questionnaire related to technical competence and perceived understandability: “The robot correctly uses the information I enter” and “It is easy to follow what the robot does” to investigate the participants’ perception…”
A Multidisciplinary Survey and Framework for Design and Evaluation of Explainable AI Systems (2018, background): “User trust in an intelligent system is an affective and cognitive factor that influences positive or negative perceptions of a system [82, 136].”
Understanding Is Key: An Analysis of Factors Pertaining to Trust in a Real-World Automation System (2018, background): “…(Sheridan, 1999; Woods, 1996); • understandability—the ability to understand what the automation is doing, why it is doing it, and how it is doing it (Madsen & Gregor, 2000; Sheridan, 1999); • competence—the perceived ability of the automation to perform its tasks (Madsen & Gregor, 2000;…”
Measurement of Trust in Automation: A Narrative Review and Reference Guide (2021, background): “The human-computer trust (HCT) questionnaire developed by Madsen and Gregor (2000) focuses on capturing trust in computer systems, specifically artificially intelligent decision aids (Madsen and Gregor, 2000).”