Humans and Automation: Use, Misuse, Disuse, Abuse
By Raja Parasuraman, V. Riley. 1997
Subfields: Human-Computer Interaction
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Human-Computer Interaction
- Stephanie M. Merritt
- Robert R. Hoffman
- Kristin E. Schaefer
- Raja Parasuraman
- Jessie Y.C. Chen
- Poornima Madhavan
- Dietrich Manzey
- Julie Arnold Shah
Citations in the corpus
- Evaluating the Social Impact of Generative AI Systems in Systems and Society (2023, background): “Overreliance on automation in general is a long-studied problem [174], and carries over in novel and important ways to AI-generated content [178].”
- Explanation in Human-AI Systems: A Literature Meta-Review, Synopsis of Key Ideas and Publications, and Bibliography for Explainable AI (2019, neutral): “…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 Parasuraman, 1993a; Wang, Jamieson, and…”
- Improving Robot Controller Transparency Through Autonomous Policy Explanation (2017, positive): “Study results have indicated that achieving comprehension of control logic leads to improved team performance [46, 28, 39] and prevention of automation abuse [30].”
- Formalizing Trust in Artificial Intelligence: Prerequisites, Causes and Goals of Human Trust in AI (2020, background): “8We consider AI as an automation attributed with intent, and thus, Human-AI trust is a sub-case of human-machine trust [28, 55].”
- Presenting system uncertainty in automotive UIs for supporting trust calibration in autonomous driving (2013, background): “Studies from other domains, such as the aviation domain, have shown that the anticipated positive effects of automation might be diminished due to human-automation cooperation related problems, such as automation misuse and disuse [1, 2], automation surprises and mode confusion [3, 4], reduced situa”
- Automation Reliance on a Combat Identification System (2001, background): “However, research has found human operators often under-utilize (disuse) or overly rely on (misuse) automated systems (cf. Parasuraman & Riley, 1997).”
- Designing for Flexible Interaction Between Humans and Automation: Delegation Interfaces for Supervisory Control (2007, background): “Automation also offers substantial benefits in human workload reduction, improved performance, and safety when it is properly designed and used (Billings, 1997; Bright, 1955; Lorenz, No-cera, Rottger, & Parasuraman, 2002; Parasuraman & Riley, 1997; Parasuraman et al., 2000; Reason, 1997).”
- The Role of Trust as a Mediator Between System Characteristics and Response Behaviors (2015, background): “Other researchers have proposed that automation response behaviors are determined by a complex interaction of multiple variables besides trust (Hollands & Neyedli, 2011; Parasuraman & Riley, 1997).”
- Optical brain monitoring for operator training and mental workload assessment (2012, unknown): “Tobeviable, such systems must improve performance above the levels possible with unaided and fully automated systems (Hancock and Verwey, 1997; Parasuraman and Riley, 1997).”
- Are Well-Calibrated Users Effective Users? Associations Between Calibration of Trust and Performance on an Automation-Aided Task (2015, background): “Misuse refers to overreliance on automation, whereas disuse refers to a tendency to underrely on automation, even when increased reliance would improve performance (Parasuraman & Riley, 1997).”
- The Dynamics of Trust in Cyberdomains (2009, background): “14,15 This suggests a combinatoric of justified versus unjustified trust and justified versus unjustified distrust.”
- Human–Autonomy Teaming: A Review and Analysis of the Empirical Literature (2020, background): “Parasuraman and Riley (1997) defined automation as “the execution by a machine agent (usually a computer) of a function that was previously carried out by a human” (p. 231; see also Parsons, 1985).”
- When stereotypes meet robots: The double-edge sword of robot gender and personality in human-robot interaction (2014, background): “As the decision making role is transferred from the humanside to an agent with artificial intelligence, poor partnership between people and automated devices becomes increasingly costly, and sometimes it results in an unexpected accident (Parasuraman & Riley, 1997).”
- Understanding and Resolving Failures in Human-Robot Interaction: Literature Review and Model Development (2018, background): “Customer support also becomes costly when users are unable to differentiate between technical errors (software bugs or hardware failures) and problems resulting from improper use (misuse; Parasuraman and Riley, 1997) or unrealistic expectations.”
- Designing automation for human use: empirical studies and quantitative models (2000, methodology): “Automation has been found to have both bene® cial and negative e(cid:127) ects on human performance (Wiener 1988, Parasuraman and Riley 1997, Sarter et al .”