Complacency and Automation Bias in the Use of Imperfect Automation

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Metrics for Explainable AI: Challenges and Prospects (2018, background): “…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).”
AI Transparency in the Age of LLMs: A Human-Centered Research Roadmap (2023, background): “…hallucinated outputs, potentially contributing to automation bias, overreliance, or automation-induced complacency (Parasuraman and Manzey, 2010; Wickens et al., 2015). p While the capabilities of LLMs are impressive, they also raise new risks (Bender et al., 2021; Kumar et al., 2023; OpenAI,…”
A Taxonomy of Emergent Trusting in the Human–Machine Relationship (2017, unknown): “Some individuals have an “all-or-none” belief, that automation either performs perfectly, or that it always makes errors (Wickens et al. 2015).”
The Automation-by-Expertise-by-Training Interaction (2017, background): “This error results, they suggest, from the effects of cognitive effort and extended operator use of highly reliable automated systems (see also Wickens, Clegg, Vieane, & Sebok, 2015).”