I Trust It, but I Don’t Know Why
By Stephanie M. Merritt, Heather Heimbaugh, Jennifer LaChapell, Deborah Lee. 2013
335 citations recorded by the source corpus.
Subfields: Experimental and Cognitive Psychology, Social Psychology
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Experimental and Cognitive Psychology
- James L. Szalma
- Jessie Y.C. Chen
- Kristin E. Schaefer
- Peter A. Hancock
- Masooda N. Bashir
- Stephanie M. Merritt
- Kevin A. Hoff
- Mica R. Endsley
In Social Psychology
- James L. Szalma
- Jessie Y.C. Chen
- Deborah Lee
- Kristin E. Schaefer
- Masooda N. Bashir
- Kevin A. Hoff
- Jennifer L. Unnerstall
- Kelli Huber
Citations in the corpus
- Metrics for Explainable AI: Challenges and Prospects (2018, neutral): “…et al., 2015; Hoff and Bashir 2015; Fitzhugh, Hoffman & Miller, 2011; Hoffman et al., 2009, 2013; Huynh et al., 2006; Kucala, 2013; Lee & See, 2004; Merritt and Ilgen, 2008; Merritt et al. 2013, 2015; Naone, 2009; Pop et al. 2015; Shadbolt, 2002; Wickens et al., 2015; Woods and Hollnagel 2006).”
- Trust in Automation (2015, background): “For example, Merritt et al. (2012) studied the impact of implicit and explicit attitudes toward automation on trust in an automated weapons detector that performed variably across three conditions (clearly good, ambiguous, and clearly bad).”
- A Meta-Analysis of Factors Influencing the Development of Trust in Automation (2016, background): “, & Moray, N. (1994). Trust, self-confidence, and operators’ adaptation to automation. International Journal of Human–Computer Studies, 40, 153–184. doi:10.1006/ ijhc.1994.1007 Lee, J. D., & See, K. A. (2004). Trust in automation: Designing for appropriate reliance. Human Factors, 46, 50–80. doi:10.”
- Are Well-Calibrated Users Effective Users? Associations Between Calibration of Trust and Performance on an Automation-Aided Task (2015, background): “A sense of competition (Beck, Dzindolet, & Pierce, 2007), emotions (Merritt, 2011), and implicit attitudes (Merritt et al., 2013) are among the less-rational factors that seem to influence human– automation interactions.”
- A Multidisciplinary Survey and Framework for Design and Evaluation of Explainable AI Systems (2018, background): “Initial user trust and the development of trust over time have been studied and presented with different terms such as swift trust [141], default trust [139] and suspicious trust [21].”
- Measurement of Trust in Automation: A Narrative Review and Reference Guide (2021, neutral): “If a researcher was interested in the dispositional trust of the operator (i.e., how a person typically trusts any technological agent), it is more appropriate to use the propensity to trust scale (Merritt et al., 2013).”