Performance Consequences of Automation-Induced 'Complacency'

By Raja Parasuraman, R. Molloy, I. Singh. 1993

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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): “…al., 2017; Merritt, 2011; Merritt, Heimbaugh, LaChapell, and Lee, 2013; Montague, 2010; Moray and Inigaki, 1999; Muir, 1994; Muir and Moray, 1996; Parasuraman, Molloy, and Singh, 1993; Parasuraman and Riley, 1997; Pomranky, Dzindolet, and Peterson, 2001; Schaefer, 2013; Singh, Molloy, and…”
Cognitive Offloading. (2016, background): “, aviation, medicine, driving), specifically ‘automation complacency’, the failure to be sufficiently vigilant with respect to the performance of automated processes; and ‘automation bias’, the tendency to uncritically rely on the output of an automated decision aid [93].”
Measurement of Trust in Automation: A Narrative Review and Reference Guide (2021, background): “In these situations, reliance is measured by the rate of detection of automation failures (Parasuraman et al., 1993).”
Human Performance Consequences of Stages and Levels of Automation (2014, background): “This is sometimes described as a form of complacency (Parasuraman, Molloy, & Singh, 1993) or an automation-induced decision bias (Mosier & Skitka, 1996).”
Human–Agent Teaming for Multirobot Control: A Review of Human Factors Issues (2014, background): “degree to which he/she relies (or over relies) on the automation [89], [90].”
Air Traffic Controller Performance and Workload Under Mature Free Flight: Conflict Detection and Resolution of Aircraft Self-Separation (2001, background): “Human monitoring of automated systems can be poor, especially if the operator has little active control over the automated process and is engaged in other tasks ( Parasuraman, Molloy, & Singh, 1993 ).”
Using the Critiquing Approach to Cope with Brittle Expert Systems (1995, background): “Parasuraman, for example, has examined the potential for "complacency" to occur when monitoring for automation failures (Parasuraman et al., 1993).”
Almost human: Anthropomorphism increases trust resilience in cognitive agents. (2016, background): “This design allowed us to examine the dynamics of agent trust following violations in trust and how fast participants would calibrate their trust to worsening levels of reliability (Cohen et al., 1998; Lee & Moray, 1992; Parasuraman et al., 1993).”
Interpreting Interpretability: Understanding Data Scientists' Use of Interpretability Tools for Machine Learning (2020, background): “Prior work on automation use classifies this as misuse [15, 49].”
Agent Reasoning Transparency’s Effect on Operator Workload (2016, background): “The use of intelligent agents (IAs) as decision aids is becoming more commonplace, and operators are reaping benefits from freed up cognitive resources such as increased performance and decreased workload (Parasuraman, Molloy, & Singh, 1993; Parasuraman, Sheridan, & Wickens, 2000).”
Human Performance Consequences of Automated Decision Aids (2012, background): “Possible performance consequences of complacency are suggested to include a loss of situation awareness, difficulties in returning to manual performance in case of automation failures, and an elevated risk that operators fail to detect and manage automation failures in due time (Endsley & Kiris, 199”