Operator reliance on automation: Theory and data.
By V. Riley. 1996
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Raja Parasuraman
- Robert R. Hoffman
- Shane T. Mueller
- Thomas B. Sheridan
- Kevin A. Hoff
- John D. Lee
- Gary Klein
- Mica R. Endsley
Citations in the corpus
- Metrics for Explainable AI: Challenges and Prospects (2018, background): “Only if this trusting relation is achieved can the user's reliance on the computer be confident (Riley, 1996).”
- Impact of robot failures and feedback on real-time trust (2013, methodology): “IN T RO D U C T I O N During an operator s interaction with an autonomous system, a key issue is how the operator uses the available autonomy levels, often referred to as the control allocation strategy [1].”
- Supporting Decision Making and Action Selection under Time Pressure and Uncertainty: The Case of In-Flight Icing (2001, background): “Experience with a system, or a negative attitude toward modern technologies, can lead to the opposite, but equally undesirable, effect: Pilots may not use the system-provided information or follow its recommendations when they should do so (Endsley, 1996; Endsley & Kiris, 1995; Lee & Moray, 1992, 19”
- Understanding Is Key: An Analysis of Factors Pertaining to Trust in a Real-World Automation System (2018, background): “Riley (1996) suggested that operators’ trust in, or decision to rely on, automation is strongly influenced by the operators’ self-confidence.”
- A Taxonomy of Emergent Trusting in the Human–Machine Relationship (2017, unknown): “142 Cognitive Systems Engineering The concept of trust as a single state and the rostering of variables that affect trust have culminated in ideas about how to ensure trustworthiness and hence lead to appropriate reliance (Riley 1996).”
- The Dynamics of Trust in Cyberdomains (2009, background): “14,16,29,30 Without this information, trust or distrust will still develop, but it will likely be disconnected from the automation’s actual capability.”
- Trust in Automation: Designing for Appropriate Reliance (2004, background): “Several studies have examined trust and affect using synthetic laboratory tasks that have no direct connection to real systems (Bechara et al., 1997; Riley, 1996), but the majority have used microworlds (Inagaki, Takae, & Moray, 1999; Lee & Moray, 1994; Moray & Inagaki, 1999).”
- Trust in Automation (2015, background): “…and Gopher’s (2011) study and several other experiments indicate that past experience with automation (Manzey, Reichenbach, & Onnasch, 2012; Riley, 1996) or similar technology (e.g., video games; see Cummings, Clare, & Hart, 2010) provides operators with a greater tendency to trust or…”
- Human-Automation Interaction (2005, background): “In prior work, Riley (1996) demonstrated that perceived risk has a significant influence on automation reliance.”
- Automation Bias and Errors: Are Crews Better Than Individuals? (2000, unknown): “Other studies have found some main effect differences in automation use between student samples and professional pilots (i.e., pilots tend to rely on automation more than students in part task simulations) but no differences in overall usage patterns across automation failures (Riley, 1996).”
- Humans and Automation: Use, Misuse, Disuse, Abuse (1997, background): “Two recent studies found no relationship between attitudes toward automation and actual reliance on automation during multiple-task performance (Riley, 1994a, 1996; Singh et aI., 1993b).”