Trust in automation. I: Theoretical issues in the study of trust and human intervention in automated systems
By B. M. Muir. 1994
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
- Brian Y. Lim
- Anind K. Dey
- Raja Parasuraman
- Kristin E. Schaefer
- Poornima Madhavan
- Jessie Y.C. Chen
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): “…Voshell, 2014, 2014; Klein and Hoffman, 2008; Klein, Moon, and Hoffman, 2006a; 2006b; Lyons, 2013; McBride, Rogers, and Fisk, 2014; Miller, 1988; Muir, 1994; Muramatsu and Pratt, 2001; Pirolli and Card, 1999, 2005, Prietula et al., 2000, 2000; Roth, Butterworth, and Loftus, 1985; Sebok and…”
- Metrics for Explainable AI: Challenges and Prospects (2018, background): “Based on our review of the psychological literature on explanation, including theoretical and empirical work by Muir (1987, 1994) and by Cahour and Forzy (2009), we identified several key attributes of explanations: understandability, feeling of satisfaction, sufficiency of detail, completeness,…”
- In AI We Trust? Factors That Influence Trustworthiness of AI-infused Decision-Making Processes (2019, background): “lity, accuracy, understandability, joy of use, and ease of use. Cahour & Forzy [7] evaluated peoples’ confidence in AI decisions based on predictability, reliability, safety, and efficiency. Muir [31], Madsen & Gregor [26], and Kelly et al. [20] argued that trust formation also depended upon”
- 'It's Reducing a Human Being to a Percentage': Perceptions of Justice in Algorithmic Decisions (2018, background): “As users form mental models [52] of machine learning systems over time, such long-term exposure may lead to greater understanding [76] and greater trust and reliance [47].”
- 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 can humans understand their automated cars? HMI principles, problems and solutions (2018, background): “Trust, once lost, is hard to regain (Muir 1994).”
- A Taxonomy of Emergent Trusting in the Human–Machine Relationship (2017, unknown): “Trust judgments certainly are episodic, but trust is typically discussed as if it were a stable, semi-persistent, or even a final state, almost always on the assumption of some single fixed task or goal (e.g., Khasawneh et al. 2003; Muir 1987, 1994).”
- How it works: a field study of non-technical users interacting with an intelligent system (2007, methodology): “This trust comes from an ability to predict the system's behavior through observation [20].”
- Explanations in Autonomous Driving: A Survey (2021, background): “, since the introduction of interpersonal trust theories into the human-machine interaction domain by [38], [39], [40], [37].”
- Understanding Is Key: An Analysis of Factors Pertaining to Trust in a Real-World Automation System (2018, background): “Muir (1994) stated that if it was not possible to build automated systems that are trustworthy, then we could not build automated systems at all, and several studies have found a correlation between trust levels and use of automated systems (e.g., de-Vries, Midden, & Bouwhuis, 2003; Lewandowsky,…”
- Supporting Decision Making and Action Selection under Time Pressure and Uncertainty: The Case of In-Flight Icing (2001, background): “…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, 1994; Muir, 1994; Parasuraman & Riley, 1997; Riley, 1996).”
- Achieving customer value from electronic channels through identity commitment, calculative commitment, and trust in technology (2007, background): “…control a technology system that can be set to operate automatically is directly related to their level of trust in the technology and that a deterioration of trust is dependent on how transient or systematic the fault is perceived to be (Lee, 1994; Lee & Moray, 1992; Muir, 1994; Zuboff, 1988).”
- Trustworthiness in mHealth information services: An assessment of a hierarchical model with mediating and moderating effects using partial least squares (PLS) (2011, background): “It also reflects reliability (Giddens, 1990; Hardin, 2001; Muir, 1994), consistency (Butler, 1991), or behaving as expected (Luhmann, 1979; Seligman, 1997; Sheppard & Sherman, 1998).”
- Does projection into use improve trust and exploration? An example with a cruise control system (2009, background): “Trust (and distrust, which is its inseparable opposite) has been studied in relation to control of dynamic systems (Amalberti, 1996; Muir, 1994; Rajaonah et al., 2003), often within interpersonal frameworks (Rempel et al., 1985; Josang et al., 2005).”