Affective Processes in Human–Automation Interactions

By Stephanie M. Merritt. 2011

256 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Social Psychology

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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, background): “Trust is an important consideration in the discussion of automation and AI, since affective judgments and user trust often have an impact on the motivations and intentions to use the systems (Merritt, 2011).”
Metrics for Explainable AI: Challenges and Prospects (2018, background): “For example, an XAI system that drives the work efficiency (say, to deal with data overload issues) may not make for a very contented workplace (Merritt, 2011).”
I Trust It, but I Don’t Know Why (2013, methodology): “Propensity to trust machines in general and actual trust in a specific automated system have been established as separate constructs in past work (e.g., Merritt, 2011).”
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 Meta-Analysis of Factors Influencing the Development of Trust in Automation (2016, background): “Studies also suggest that there may be a direct relationship between mood and affect on trust development (Merritt, 2011; Stokes et al., 2010).”
Measurement of Trust in Automation: A Narrative Review and Reference Guide (2021, methodology): “(2015) Factors of Perceived Trustworthiness; Trust Trust Perception Scale for Human-Robot Interaction (HRI) Schaefer (2016) Factors of Perceived Trustworthiness; Trust Trust Scale, Lee & Moray Lee and Moray (1992) Trust Trust Scale, Merritt Merritt (2011) Factors of Perceived Trustworthiness; Trust ”
Human–Agent Teaming for Multirobot Control: A Review of Human Factors Issues (2014, background): “, moods and emotions) [107], and states of stress such as fatigue [108]–[111].”
Almost human: Anthropomorphism increases trust resilience in cognitive agents. (2016, background): “The fact that initial higher liking did not result in higher initial trust or com- pliance in human agents compared to the machine-like agents is evidence against the notion that liking is a better predictor of early compliance strategies (Merritt, 2011; Merritt, Heimbaugh, LaChapell, & Lee, 2013).”
Trust in Automation (2015, background): “Preexisting moods influenced only initial trust in that exper-iment, but Merritt (2011) found that participants who were implicitly primed to possess the emotion of happiness were more likely to trust an automated weapons detector throughout her experiment.”