Trust in automation. Part II. Experimental studies of trust and human intervention in a process control simulation.

By B. M. Muir, Neville Moray. 1996

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Citations in the corpus

Explanation in Human-AI Systems: A Literature Meta-Review, Synopsis of Key Ideas and Publications, and Bibliography for Explainable AI (2019, background): “…must be "calibrated" for individual operators via an interaction between performance expectations (expected system competence; Muir, 1994), user selfconfidence (Muir and Moray, 1996), user training (Cahour and Forzy, 2009), and prior operator experience with AI (Dzindolet, et al., 2003).”
A proposed psychological model of driving automation (2000, unknown): “This model was later tested empirically (Muir and Moray 1996).”
From ‘automation’ to ‘autonomy’: the importance of trust repair in human–machine interaction (2018, unknown): “The trust in automation literature started by taking human–human trust as a model and comparing and contrasting with trust in automation (Madhavan and Wiegmann 2004, 2007a, 2007b; Muir 1987; Muir and Moray 1996).”
Attention and complacency (2000, background): “Furthermore, experiments by Lee and Moray (1992, 1994), Moray et al. (2000) and Muir and Moray (1996) have shown that trust grows with prolonged experience of reliable systems, and that the more a system is trusted the less it is monitored, whilst trust decreases and monitoring increases if faults…”
Trust In and Adoption of Online Recommendation Agents (2005, background): “For example, Muir and his collaborators (e.g., Muir, 1987; Muir, 1994; Muir and Moray, 1996) have included a dimension of morality (e.”
Measuring Human-Computer Trust (2000, background): “These researchers have attempted to describe and explain the user's development of trust in an IDA by using adaptations of interpersonal measurement instruments or simply creating their own scales (Lee & Moray 1994, Lerch et al. 1993, Muir 1987, 1994, Muir & Moray 1996, Will 1991, 1992).”
How Presentation Flaws Affect Perceived Site Quality, Trust, and Intention to Purchase from an Online Store (2005, background): “Trust is fragile; it is hard to generate, easily lost, and, once lost, difficult to regain [32, 52, 65, 69].”
Effects of Information Source, Pedigree, and Reliability on Operator Interaction With Decision Support Systems (2007, background): “…progresses to the level of dependability, and finally evolves to faith (Rempel, Holmes, & Zanna, 1985); trust in automation follows the opposite pattern of development, with faith playing a major role in the initial stages, followed by dependability, and then by predictability (Muir & Moray, 1996).”
Almost human: Anthropomorphism increases trust resilience in cognitive agents. (2016, methodology): “Trust Violations People working with error-prone automation will reduce their trust accordingly, and the magnitude of this loss in trust is roughly proportional to the severity of the error (Lee & Moray, 1992; Muir & Moray, 1996).”
Measurement of Trust in Automation: A Narrative Review and Reference Guide (2021, background): “Muir and Moray’s prior trust model (1994) set the stage for a simple two-item measure of trust proposed in 1996 (Muir and Moray, 1996).”
Distributed situation awareness in dynamic systems: theoretical development and application of an ergonomics methodology (2006, background): “Research into trust and technology suggests that there are shared traits between interpersonal trust and technological trust (Muir, 1994; Muir & Moray, 1996).”
Explanations in Autonomous Driving: A Survey (2021, background): “Trust in automation, as made evident in [42], [43], [44], has significantly influenced the acceptance of and reliance on automated systems.”