SZodixStudyAcademic Library
DashboardShelvesOpen accessMy libraryInboxNotesWriteLearnAlerts
More
Ask your libraryNotificationsQuick citeReview
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Automation bias and verification complexity: a systematic review
9 references·14 citing·41 second hop
Automation bias and verification complexity: a systematic review (2016)Automation bias and verification complexi…The Cochrane Collaboration's tool for assessing risk of bias in randomised trials (2011)The Cochrane Collaboration's …Cognitive Load Theory (2011)Cognitive Load TheoryAutomation bias: a systematic review of frequency, effect mediators, and mitigators (2011)Automation bias: a systematic…Complacency and Bias in Human Use of Automation: An Attentional Integration (2010)Complacency and Bias in Human…Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement. (2009)Preferred reporting items for…Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement (2009)Preferred reporting items for…Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement (2009)Preferred Reporting Items for…Does automation bias decision-making? (1999)Does automation bias decision…NASA aviation safety reporting system (1976)NASA aviation safety reportin…Human-Controllable AI: Meaningful Human Control (2025)Human-Controllable AI: Meanin…Exploring automation bias in human–AI collaboration: a review and implications for explainable AI (2025)Exploring automation bias in …Michael is better than Mehmet: exploring the perils of algorithmic biases and selective adherence to advice from automated decision support systems in hiring (2024)Michael is better than Mehmet…Ethics of artificial intelligence in embryo assessment: mapping the terrain (2024)Ethics of artificial intellig…Empowering nurses to champion Health equity & BE FAIR: Bias elimination for fair and responsible AI in healthcare (2024)Empowering nurses to champion…Bending the Automation Bias Curve: A Study of Human and AI-Based Decision Making in National Security Contexts (2024)Bending the Automation Bias C…Automation bias in public administration – an interdisciplinary perspective from law and psychology (2024)Automation bias in public adm…Artificial intelligence and labour market matching (2023)Artificial intelligence and l…‘Just like I thought’: Street‐level bureaucrats trust AI recommendations if they confirm their professional judgment (2023)‘Just like I thought’: Street…Tragic Choices and the Virtue of Techno-Responsibility Gaps (2022)Tragic Choices and the Virtue…Not all biases are bad: equitable and inequitable biases in machine learning and radiology (2021)Not all biases are bad: equit…How should intelligent agents apologize to restore trust? Interaction effects between anthropomorphism and apology attribution on trust repair (2021)How should intelligent agents…Deep Automation Bias: How to Tackle a Wicked Problem of AI? (2021)Deep Automation Bias: How to …“Computer says no”: Algorithmic decision support and organisational responsibility (2021)“Computer says no”: Algorithm…The magical number seven, plus or minus two: Some limits on our capacity for processing information. (1956)Cognitive Load During Problem Solving: Effects on Learning (1988)The magical number seven, plus or minus two: Some limits on our capacity for processing information. (1994)Cognitive Load Theory: Implications for medical education: AMEE Guide No. 86 (2014)Cognitive Theory of Multimedia Learning (2014)Cognitive load theory and educational technology (2019)Judgment under Uncertainty: Heuristics and Biases (1974)Judgment under Uncertainty (1982)Trust in Automation: Designing for Appropriate Reliance (2004)Addressing Bias in Artificial Intelligence in Health Care (2019)The Ethical Implications of Using Artificial Intelligence in Auditing (2020)Strengthening the Reporting of Observational Studies in Epidemiology (STROBE): Explanation and Elaboration (2007)The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and Elaboration (2009)The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and Elaboration (2009)Rayyan—a web and mobile app for systematic reviews (2016)Judgment under uncertainty: Heuristics and biases (1982)Judgment Under Uncertainty: Heuristics and Biases. (1984)Humans and Automation: Use, Misuse, Disuse, Abuse (1997)Towards a cognitive approach to human–machine cooperation in dynamic situations (2001)The benefits of imperfect diagnostic automation: a synthesis of the literature (2007)When combinations of humans and AI are useful: A systematic review and meta-analysis (2024)Cochrane Handbook for Systematic Reviews of Interventions (2008)QUADAS-2: A Revised Tool for the Quality Assessment of Diagnostic Accuracy Studies (2011)ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions (2016)RoB 2: a revised tool for assessing risk of bias in randomised trials (2019)The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement: Guidelines for Reporting Observational Studies (2007)The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate healthcare interventions: explanation and elaboration (2009)PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation (2018)The Measurement of Observer Agreement for Categorical Data (1977)Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement (2009)See Something, Say Something: Correction of Global Health Misinformation on Social Media (2017)'It's Reducing a Human Being to a Percentage' (2018)Improving the quality of reports of meta-analyses of randomised controlled trials: the QUOROM statement (1999)Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement (2015)PRISMA-S: an extension to the PRISMA Statement for Reporting Literature Searches in Systematic Reviews (2021)The PRISMA 2020 statement: an updated guideline for reporting systematic reviews (2021)Paying the Cognitive Debt: An Experiential Learning Framework for Integrating AI in Social Work Education (2025)Empowerment or dependency? A systematic review of the impacts of intelligent assessment and generative AI on learners’ self-beliefs and cognitive agency in music education (2026)Monitoring an Automated System for a Single Failure: Vigilance and Task Complexity Effects (1996)Designing automation for human use: empirical studies and quantitative models (2000)The Role of Trust in Human-Robot Interaction (2018)
this work references cited by second hop

References

  • 2009Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement83,813 cited
  • 2009Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement.44,857 cited
  • 2009Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement37,549 cited
  • 2011The Cochrane Collaboration's tool for assessing risk of bias in randomised trials33,776 cited
  • 2011Cognitive Load Theory4,841 cited
  • 2010Complacency and Bias in Human Use of Automation: An Attentional Integration1,682 cited
  • 2011Automation bias: a systematic review of frequency, effect mediators, and mitigators1,151 cited
  • 1999Does automation bias decision-making?704 cited
  • 1976NASA aviation safety reporting system158 cited

Cited by

  • 2025Exploring automation bias in human–AI collaboration: a review and implications for explainable AI203 cited
  • 2023‘Just like I thought’: Street‐level bureaucrats trust AI recommendations if they confirm their professional judgment123 cited
  • 2021How should intelligent agents apologize to restore trust? Interaction effects between anthropomorphism and apology attribution on trust repair101 cited
  • 2021Not all biases are bad: equitable and inequitable biases in machine learning and radiology74 cited
  • 2021

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

Deep Automation Bias: How to Tackle a Wicked Problem of AI?
68 cited
  • 2024Bending the Automation Bias Curve: A Study of Human and AI-Based Decision Making in National Security Contexts68 cited
  • 2024Automation bias in public administration – an interdisciplinary perspective from law and psychology59 cited
  • 2022Tragic Choices and the Virtue of Techno-Responsibility Gaps52 cited
  • 2023Artificial intelligence and labour market matching45 cited
  • 2024Empowering nurses to champion Health equity & BE FAIR: Bias elimination for fair and responsible AI in healthcare36 cited
  • 2024Ethics of artificial intelligence in embryo assessment: mapping the terrain30 cited
  • 2021“Computer says no”: Algorithmic decision support and organisational responsibility25 cited
  • 2025Human-Controllable AI: Meaningful Human Control22 cited
  • 2024Michael is better than Mehmet: exploring the perils of algorithmic biases and selective adherence to advice from automated decision support systems in hiring20 cited