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Original Articles

Accepting Error to Make Less Error

Pages 387-395 | Published online: 10 Jun 2010

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Stefan Daschner & Robert Obermaier. (2022) Algorithm aversion? On the influence of advice accuracy on trust in algorithmic advice. Journal of Decision Systems 31:sup1, pages 77-97.
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Sangmin Lee, Dylan E. O’Sullivan, Darren R. Brenner & Amy Metcalfe. (2022) Developing and validating multivariable prediction models for predicting the risk of 7-day neonatal readmission following vaginal and cesarean birth using administrative databases. The Journal of Maternal-Fetal & Neonatal Medicine 35:24, pages 4674-4681.
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Patrick Bodilly Kane & Stephen B. Broomell. (2022) Investigating lay evaluations of models. Thinking & Reasoning 28:4, pages 569-604.
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RobinM. Hogarth. (2010) Intuition: A Challenge for Psychological Research on Decision Making. Psychological Inquiry 21:4, pages 338-353.
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Ian Bell & David Mellor. (2009) Clinical judgements: Research and practice. Australian Psychologist 44:2, pages 112-121.
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David Faust. (2007) Some Global and Specific Thoughts about Some Global and Specific Issues. Applied Neuropsychology 14:1, pages 26-36.
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R. Scott Rodgers. (2006) Improving Analysis: Dealing with Information Processing Errors. International Journal of Intelligence and CounterIntelligence 19:4, pages 622-641.
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Hazel Kemshall. (1998) Enhancing risk decision making through critical path analysis. Social Work Education 17:4, pages 419-434.
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Michael W. Kattan, Dennis A. Adams & Michael S. Parks. (1993) A Comparison of Machine Learning with Human Judgment. Journal of Management Information Systems 9:4, pages 37-57.
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Stephen J. Dollinger, Eric L. Levin & Ann E. Robinson. (1991) The Word Association Implications Test. Journal of Personality Assessment 57:2, pages 368-380.
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Caryn Christensen, ArthurS. Elstein, LionelM. Bernstein & JohnI. Balla. (1991) Formal decision supports in medical practice and education. Teaching and Learning in Medicine 3:2, pages 62-70.
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Ben William Morrison, Kathryn Bergin, Joshua Kelson, Natalie May Virginia Morrison, John Michael Innes, Gregory Zelic, Yeslam Al-Saggaf & Manoranjan Paul. (2023) Decision Support Systems (DSSs) ‘In the Wild’: The Factors That Influence Users’ Acceptance of DSSs in Naturalistic Settings. Journal of Cognitive Engineering and Decision Making 17:4, pages 332-350.
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Sarah E Seaton, Ridhi Agarwal, Elizabeth S Draper, Alan C Fenton, Jennifer J Kurinczuk, Bradley N Manktelow & Lucy K Smith. (2023) Estimated neonatal survival of very preterm births across the care pathway: a UK cohort 2016–2020. Archives of Disease in Childhood - Fetal and Neonatal Edition 108:6, pages 562-568.
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Robert Bassett, Dharmini Mehta, Scott Thompson & Emad Al-Imarah. (2023) Novel machine learning models for flow imaging microscopy sub-visible particle classification in protein formulations. International Journal of Pharmaceutics, pages 123192.
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Yael Karlinsky-Shichor & Oded Netzer. (2023) Automating the B2B Salesperson Pricing Decisions: A Human-Machine Hybrid Approach. Marketing Science.
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Ben W Morrison, Joshua N Kelson, Natalie M V Morrison, J Michael Innes, Gregory Zelic, Yeslam Al-Saggaf & Manoranjan Paul. (2023) You’re Not the Boss of me, Algorithm: Increased User Control and Positive Implicit Attitudes Are Related to Greater Adherence to an Algorithmic Aid. Interacting with Computers.
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Kori Inkpen, Shreya Chappidi, Keri Mallari, Besmira Nushi, Divya Ramesh, Pietro Michelucci, Vani Mandava, LibuŠe Hannah VepŘek & Gabrielle Quinn. (2023) Advancing Human-AI Complementarity: The Impact of User Expertise and Algorithmic Tuning on Joint Decision Making. ACM Transactions on Computer-Human Interaction.
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Jie Liu, Ziqiang Han, Yihong Liu & Sombo William. (2023) Trust in Government, Perceived Integrity and Food Safety Protective Behavior: The Mediating Role of Risk Perception. International Journal of Public Health 68.
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Isamar Troncoso, Runshan Fu, Nikhil Malik & Davide Proserpio. (2023) Algorithm Failures and Consumers’ Response: Evidence From Zillow. SSRN Electronic Journal.
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Sumitava Mukherjee, Deeptimayee Senapati & Isha Mahajan. 2023. Applied Cognitive Science and Technology. Applied Cognitive Science and Technology 3 27 .
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Alvaro Chacon, Edgar E. Kausel & Tomas Reyes. (2022) A longitudinal approach for understanding algorithm use. Journal of Behavioral Decision Making 35:4.
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Berkeley J. Dietvorst & Soaham Bharti. (2020) People Reject Algorithms in Uncertain Decision Domains Because They Have Diminishing Sensitivity to Forecasting Error. Psychological Science 31:10, pages 1302-1314.
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Priyanka Bose, Carolyn Tarrant, Amit K Mistri & Andrew Wilson. (2018) Managing uncertainty: a qualitative study of GPs’ views on the diagnosis and immediate management of transient ischaemic attack and the potential of a diagnostic tool. Family Practice 35:6, pages 738-743.
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Berkeley J. Dietvorst, Joseph P. Simmons & Cade Massey. (2018) Overcoming Algorithm Aversion: People Will Use Imperfect Algorithms If They Can (Even Slightly) Modify Them. Management Science 64:3, pages 1155-1170.
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Elke U. Weber. 2017. Policy Shock. Policy Shock.
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Robin M. Hogarth. 2015. The Wiley Blackwell Handbook of Judgment and Decision Making. The Wiley Blackwell Handbook of Judgment and Decision Making 952 972 .
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Yaacov Schul & Noam Peri. (2015) Influences of Distrust (and Trust) on Decision Making. Social Cognition 33:5, pages 414-435.
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Scott Highhouse & Thaddeus B. Rada. (2015) Different Worldviews Explain Perceived Effectiveness of Different Employment Tests. International Journal of Selection and Assessment 23:2, pages 109-119.
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Cesar J. Rebellon & Kathryn L. Modecki. (2013) Accounting for Projection Bias in Models of Delinquent Peer Influence: The Utility and Limits of Latent Variable Approaches. Journal of Quantitative Criminology 30:2, pages 163-186.
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Robin Haskins, Peter G. Osmotherly, Frank Tuyl & Darren A. Rivett. (2014) Uncertainty in Clinical Prediction Rules: The Value of Credible Intervals. Journal of Orthopaedic & Sports Physical Therapy 44:2, pages 85-91.
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Amit Sehgal & Rajeev Agrawal. (2014) Entropy based integrated diagnosis for enhanced accuracy and removal of variability in clinical inferences. Entropy based integrated diagnosis for enhanced accuracy and removal of variability in clinical inferences.
Dieneke Hubbeling. (2013) Causal hypotheses are useful in medicine, also more limited ones – a response to R obyn B luhm on ‘capacities in psychiatry’ . Journal of Evaluation in Clinical Practice 19:3, pages 562-563.
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Bradley N. Manktelow, Sarah E. Seaton, David J. Field & Elizabeth S. Draper. (2013) Population-Based Estimates of In-Unit Survival for Very Preterm Infants. Pediatrics 131:2, pages e425-e432.
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Sweta Sneha & Rajeev Agrawal. (2013) Towards Enhanced Accuracy in Medical Diagnostics -- A Technique Utilizing Statistical and Clinical Data Analysis in the Context of Ultrasound Images. Towards Enhanced Accuracy in Medical Diagnostics -- A Technique Utilizing Statistical and Clinical Data Analysis in the Context of Ultrasound Images.
Edmund Fantino & Anton Navarro. (2012) Description-experience Gaps: Assessments in Other Choice Paradigms. Journal of Behavioral Decision Making 25:3, pages 303-314.
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David Faust, David C. Ahern, Ana J. Bridges & Leslie J. Yonce. 2012. Detection of Malingering during Head Injury Litigation. Detection of Malingering during Head Injury Litigation 1 67 .
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