Trust, self-confidence, and operators' adaptation to automation

By John D. Lee, Neville Moray. 1994

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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, neutral): “…Hoffman, Klein, and Miller, 2011; Hoffman, 2017a; Jian, Bisantz, and Drury, 1998, 2000; Johnson, 2007; Koustanai, Mas, Cavallo, and Delhomme, 2010; Lee and Moray, 1994; Lee and See, 2004; Llinas, Bisantz, Drury, Seong, and Jian, 1998; Lyons et al., 2017; Merritt, 2011; Merritt, Heimbaugh,…”
Extending the Technology Acceptance Model to assess automation (2011, background): “The importance of trust in automation adoption has been emphasized by CE researchers (e.g., Lee and Moray 1994; Parasuraman et al. 2008).”
Measurement of Trust in Automation: A Narrative Review and Reference Guide (2021, methodology): “Compliance is an active form of agreement, wherein the operator follows recommendations given by the system or positively responds to system alarms (Lee and Moray, 1994; Meyer, 2004).”
Augmenting the Technology Acceptance Model with Trust: Commercial Drivers’ Attitudes towards Monitoring and Feedback (2012, background): “Research has shown that the level of trust that individuals place in automation is a major determinant of their reliance on and acceptance of that automation (Lee & Moray, 1992, 1994; Parasuraman, Sheridan, & Wickens, 2008).”
The Next Generation of Research on IS Use: A Theoretical Framework of Delegation to and from Agentic IS Artifacts (2021, background): “process (Lee and Moray 1994) and expectations of costs that might be incurred (Castelfranchi and Falcone 1998; Miller and Parasuraman 2007; Steffel and Williams 2017; Steffel et al.”
Complacency and Bias in Human Use of Automation: An Attentional Integration (2010, background): “Lee and Moray (1992, 1994) showed that the reduction in operator trust following an automation failure was followed by a recovery in trust but at a slow rate.”
Similarities and differences between human–human and human–automation trust: an integrative review (2007, background): “Indeed, most studies have examined how trust develops when interacting with automation of a single reliability level or how a solitary automation failure can affect users’ trust of a system that has been completely reliable prior to the failure (Lee and Moray 1994).”
Understanding Is Key: An Analysis of Factors Pertaining to Trust in a Real-World Automation System (2018, methodology): “If an operator has more confidence in his or her own abilities than in the automation, then he or she is more likely to perform the task manually, and research using the pasteurization plant simulation has confirmed this relationship (Lee & Moray, 1992, 1994).”
I Trust It, but I Don’t Know Why (2013, background): “Several individual differences that influence trust have been empirically studied, including self-confidence (Lee & Moray, 1994), mood (Merritt, 2011), personality (Merritt & Ilgen, 2008; Szalma & Taylor, 2011), and propensity to trust machines (Merritt & Ilgen, 2008).”
Foundations for an Empirically Determined Scale of Trust in Automated Systems (2000, background): “(1985) designed questionnaire items that measured trust in a specific individual (a romantic partner), and Lee and Moray (1996) asked questions specific to the control of an”
Affective Processes in Human–Automation Interactions (2011, background): “In these cases, responsibility for safe and effective performance is shared between human and machine, and the operator’s primary responsibilities often involve supervisory control (Bahner, Hüper, & Manzey, 2008; Lee & Moray, 1994; Moray & Inagaki, 1999; Parasuraman & Riley, 1997).”
Attention and complacency (2000, methodology): “However, the quantitative models of trust developed by Lee and Moray (1992, 1994) and Moray et al. (2000) show a mathematical form which suggests that such is not the case, at least in the systems studied by those researchers.”
Human–Agent Teaming for Multirobot Control: A Review of Human Factors Issues (2014, background): “Lee and Moray [102] and Lewandowsky et al.”
Attention and automation: New perspectives on mental underload and performance (2002, background): “More recently, problems such as vigilance (Parasuraman 1987), complacency (Parasuraman et al. 1992), and trust (Lee and Moray 1994, Muir and Moray 1996) have been touted as causes for performance di erences between manual and automated control.”
A Meta-Analysis of Factors Influencing the Development of Trust in Automation (2016, background): “This term is not to be confused with self-confidence , which is often considered to be a separate construct from trust but one that also in part influences reliance on the automation (Lee & Moray, 1994).”