Bias & Heuristics
Instructions Watch the video about bundles. This bundle was created to edify and support your research interests. Recommended resources have the first word of the reference highlighted with light text over a dark background (e.g., Akbarian). Some of the links go to research paper vendor sites with just the abstract available. To read the full article, sign in to HOLLIS Library and do the title search there. Keywords in search: mind+brain+health+education; attention bias; bias; heuristics; confirmation bias; heuristics formation; prior experience and learning; heuristic cues; metacognition and heuristics; unconscious bias; If you wish, you can download this bundle. |
Resources
Abraham, J. (2023). Science, politics and the pharmaceutical industry: Controversy and bias in drug regulation. Routledge. https://www.taylorfrancis.com/books/mono/10.4324/9781003421405/science-politics-pharmaceutical-industry-john-abraham-0-john-abraham-university-reading
Ackerman, R., Bernstein, D. M., & Kumar, R. (2020). Metacognitive hindsight bias. Memory & Cognition, 48(5), 731–744. https://doi.org/10.3758/s13421-020-01012-w
Adkins, T., Lewis, R., & Lee, T. (2022). Heuristics contribute to sensorimotor decision-making under risk. Psychonomic Bulletin & Review, 29(1), 145-158. https://doi.org/10.3758/s13423-021-01986-x
Bojke, L., Soares, M., Claxton, K., Colson, A., Fox, A., Jackson, C., ... & Taylor, A. (2021). Reviewing the evidence: heuristics and biases. In Developing a reference protocol for structured expert elicitation in health-care decision-making: a mixed-methods study. NIHR Journals Library.
Chater, N., Zhu, J. Q., Spicer, J., Sundh, J., León-Villagrá, P., & Sanborn, A. (2020). Probabilistic biases meet the Bayesian brain. Current Directions in Psychological Science, 29(5), 506-512. https://doi.org/10.1177%2F0963721420954801
Fadus, M. C., Ginsburg, K. R., Sobowale, K., Halliday-Boykins, C. A., Bryant, B. E., Gray, K. M., & Squeglia, L. M. (2020). Unconscious Bias and the Diagnosis of Disruptive Behavior Disorders and ADHD in African American and Hispanic Youth. Academic Psychiatry : The Journal of the American Association of Directors of Psychiatric Residency Training and the Association for Academic Psychiatry, 44(1), 95–102. https://doi.org/10.1007/s40596-019-01127-6
Fathollahi-Fard, A. M., Wong, K. Y., & Aljuaid, M. (2023). An efficient adaptive large neighborhood search algorithm based on heuristics and reformulations for the generalized quadratic assignment problem. Engineering Applications of Artificial Intelligence, 126, 106802. https://doi.org/10.1016/j.engappai.2023.106802
Gichoya, J. W., Thomas, K., Celi, L. A., Safdar, N., Banerjee, I., Banja, J. D., ... & Purkayastha, S. (2023). AI pitfalls and what not to do: mitigating bias in AI. The British Journal of Radiology, 96(1150), 20230023. https://doi.org/10.1259/bjr.20230023
Gopal, D. P., Chetty, U., O'Donnell, P., Gajria, C., & Blackadder-Weinstein, J. (2021). Implicit bias in healthcare: clinical practice, research and decision making. Future Healthcare Journal, 8(1), 40–48. https://doi.org/10.7861/fhj.2020-0233
Halpern, S. D., Truog, R. D., & Miller, F. G. (2020). Cognitive bias and public health policy during the COVID-19 pandemic. JAMA, 324(4), 337-338.https://doi.org/10.1001/jama.2020.11623
Hjeij, M., & Vilks, A. (2023). A brief history of heuristics: how did research on heuristics evolve?. Humanities and Social Sciences Communications, 10(1), 1-15. https://doi.org/10.1057/s41599-023-01542-z
Ishfaq, M., Nazir, M. S., Qamar, M., & Usman, M. (2020). Cognitive bias and the extraversion personality shaping the behavior of investors. Frontiers in Psychology, 11, Article 556506. https://doi.org/10.3389/fpsyg.2020.556506
Juan, A. A., Keenan, P., Martí, R., McGarraghy, S., Panadero, J., Carroll, P., & Oliva, D. (2023). A review of the role of heuristics in stochastic optimisation: From metaheuristics to learnheuristics. Annals of Operations Research, 320(2), 831-861. https://doi.org/10.1007/s10479-021-04142-9
Kappes, A., Harvey, A. H., Lohrenz, T., Montague, P. R., & Sharot, T. (2020). Confirmation bias in the utilization of others’ opinion strength. Nature Neuroscience, 23(1), 130-137. https://doi.org/10.1038/s41593-019-0549-2
Kuehl, L. K., Deuter, C. E., Nowacki, J., Ueberrueck, L., Wingenfeld, K., & Otte, C. (2021). Attentional bias in individuals with depression and adverse childhood experiences: influence of the noradrenergic system?. Psychopharmacology, 238(12), 3519-3531. https://doi.org/10.1007/s00213-021-05969-7
Mittermaier, M., Raza, M. M., & Kvedar, J. C. (2023). Bias in AI-based models for medical applications: challenges and mitigation strategies. NPJ Digital Medicine, 6(1), 113. https://doi.org/10.1038/s41746-023-00858-z
Nguyen, H., Guo, C., & Homberg, J. R. (2020). Cognitive bias under adverse and rewarding conditions: A systematic review of rodent studies. Frontiers in Behavioral Neuroscience, 14, Article 14. https://doi.org/10.3389/fnbeh.2020.00014
Noworyta, K., Cieslik, A., & Rygula, R. (2021). Neuromolecular underpinnings of negative cognitive bias in depression. Cells, 10(11), Article 3157. https://doi.org/10.3390/cells10113157
Peters, U. (2020) What Is the function of confirmation bias? Erkenntnis, 2020. https://doi.org/10.1007/s10670-020-00252-1
Rollwage, M., & Fleming, S. M. (2021). Confirmation bias is adaptive when coupled with efficient metacognition. Philosophical transactions of the Royal Society of London. Series B, Biological Sciences, 376(1822), Article 20200131. https://doi.org/10.1098/rstb.2020.0131
Saarinen, A., Jääskeläinen, I. P., Harjunen, V., Keltikangas-Järvinen, L., Jasinskaja-Lahti, I., & Ravaja, N. (2021). Neural basis of in-group bias and prejudices: A systematic meta-analysis. Neuroscience & Biobehavioral Reviews, 131, 1214-1227. https://doi.org/10.1016/j.neubiorev.2021.10.027
Schirrmeister, E., Göhring, A. L., & Warnke, P. (2020). Psychological biases and heuristics in the context of foresight and scenario processes. Futures & Foresight Science, 2(2), Article e31. https://doi.org/10.1002/ffo2.31
Skagerlund, K., Forsblad, M., Slovic, P., & Västfjäll, D. (2020). The Affect Heuristic and Risk Perception - Stability Across Elicitation Methods and Individual Cognitive Abilities. Frontiers in Psychology, 11, Article 970. https://doi.org/10.3389/fpsyg.2020.00970
Timmons, A. C., Duong, J. B., Simo Fiallo, N., Lee, T., Vo, H. P. Q., Ahle, M. W., ... & Chaspari, T. (2023). A call to action on assessing and mitigating bias in artificial intelligence applications for mental health. Perspectives on Psychological Science, 18(5), 1062-1096. https://doi.org/10.1177/17456916221134490
van Brussel, S., Timmermans, M., Verkoeijen, P., & Paas, F. (2020). ‘Consider the opposite’–Effects of elaborative feedback and correct answer feedback on reducing confirmation bias–a pre-registered study. Contemporary Educational Psychology, 60, Article 101844. https://doi.org/10.1016/j.cedpsych.2020.101844
Yang, S., Zhang, M., Xu, J., Wang, L., Li, Z., Zou, F., Wu, X., & Wang, Y. (2020). The electrophysiology correlation of the cognitive bias in anxiety under uncertainty. Scientific Reports, 10(1), Article 11354. https://doi.org/10.1038/s41598-020-68427-y
Zhao, Y., & Xie, B. (2020). Cognitive bias, entrepreneurial emotion, and entrepreneurship intention. Frontiers in Psychology, 11, Article 625. https://doi.org/10.3389/fpsyg.2020.00625
Other Resources
Kyi, T. L. (2020). This is your brain on stereotypes: How science is tackling unconscious bias. Kids Can Press Ltd.
Date of last update: 14-Dec-2022 CB
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