Automation Bias in Intelligent Time Critical Decision Support Systems

By M. Cummings. 2004

389 citations recorded by the source corpus.

Subfields: Social Psychology, Surgery, Signal Processing

View Paper: https://www.semanticscholar.org/paper/a9e40829a16f23494a7b68caf07010fd196f5a67

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Citations in the corpus

Automation bias: a systematic review of frequency, effect mediators, and mitigators (2012, background): “As the concept is relatively new and undefined, a number of synonyms have been used in the literature to describe the concept of AB, including automation-induced complacency,(9) overreliance on automation, and confirmation bias.(10) In a recent literature review, Parasuraman et al(11) discuss AB and”
Effect of confidence and explanation on accuracy and trust calibration in AI-assisted decision making (2020, background): “of "automation bias" with which people overly rely on delegation to algorithms [6].”
Progressive Disclosure: Designing for Effective Transparency (2018, background): “Users are prone to blindly believing outputs from algorithmic systems, a phenomena referred to as algorithmic omniscience [23,36,74] and automation bias [17,56].”
On the Planning Abilities of Large Language Models - A Critical Investigation (2023, background): “This shows the potential for automation bias in such methodologies [5].”
Fairness of artificial intelligence in healthcare: review and recommendations (2023, background): “Clinicians aware of AI biases can avoid overreli‑ ance on AI‑generated results and make decisions based on more accurate information [91].”
The fallacy of inscrutability (2018, background): “Because of automation bias, the phenomenon in which humans become more likely to believe answers that originate from a machine [51], such misleading explanations can have outsized weight.”
Automation and Accountability in Decision Support System Interface Design (2006, background): “Automation bias is particularly problematic when intelligent decision support is needed in large problem spaces with time pressure like what is needed in command and control domains such as emergency path planning and resource allocation (Cummings, 2004).”