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
Ackerman, R. (2019). Heuristic cues for meta-reasoning judgments: Review and methodology. Psihologijske Teme, 28(1), 1-20. https://doi.org/10.31820/pt.28.1.1
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
Adams, C., Ide, T., Barnett, J., & Detges, A. (2018). Sampling bias in climate–conflict research. Nature Climate Change, 8(3), 200-203. https://doi.org/10.1038/s41558-018-0068-2
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
Agnew, J. R., Bateman, H., Eckert, C., Iskhakov, F., Louviere, J. J., & Thorp, S. (2018). Learning and confirmation bias: Measuring the impact of first impressions and ambiguous signals. UNSW Business School Research Paper.
Alexander, V. (2017, September). How to outsmart you own unconscious bias [Video] (17:23 minutes). TED Conferences. https://www.ted.com/talks/valerie_alexander_how_to_outsmart_your_own_unconscious_bias
Allen, R. N., & Harris, D. (2018). # SocialJustice: Combatting implicit bias in an age of millennials, colorblindness, & microaggressions. University of Maryland Law Journal of Race, Religion, Gender and Class, 18(1), 1.
Amodio, D. M., & Swencionis, J. K. (2018). Proactive control of implicit bias: A theoretical model and implications for behavior change. Journal of Personality and Social Psychology, 115(2), 255-275. https://doi.org/10.1037/pspi0000128
Artificial Intelligence - All in One (2016, May 15). Lecture 15 — Design Heuristics - (Part 1) | HCI Course | Stanford University [Video] (20:02 minutes). YouTube. https://www.youtube.com/watch?v=FhRkoMpEHec
Backman, C. (2019). Examining the origins of racial bias. The Write Path, 69-75.
Barash, J., Brocas, I., Carrillo, J. D., & Kodaverdian, N. (2019). Heuristic to Bayesian: The evolution of reasoning from childhood to adulthood. Journal of Economic Behavior & Organization, 159, 305-322. https://doi.org/10.1016/j.jebo.2018.05.008
Bedder, R. L., Bush, D., Banakou, D., Peck, T., Slater, M., & Burgess, N. (2019). A mechanistic account of bodily resonance and implicit bias. Cognition, 184, 1-10. https://doi.org/10.1016/j.cognition.2018.11.010
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.
Broyd, A., Balzan, R. P., Woodward, T. S., & Allen, P. (2017). Dopamine, cognitive biases and assessment of certainty: a neurocognitive model of delusions. Clinical Psychology Review, 54, 96-106. https://doi.org/10.1016/j.cpr.2017.04.006
Brycz, H., Wyszomirska-Góra, M., Bar-Tal, Y., & Wiśniewski, P. (2014). The effect of metacognitive self on confirmation bias revealed in relation to community and competence. Polish Psychological Bulletin, 45(3), 306-311. https://doi.org/10.2478/ppb-2014-0037
Buolamwini, J. (2016, November). How I’m fighting bias in algorithms [Video] (8:44 minutes). TED Conferences. https://www.ted.com/talks/joy_buolamwini_how_i_m_fighting_bias_in_algorithms?language=en
Carden, L., & Wood, W. (2018). Habit formation and change. Current Opinion in Behavioral Sciences, 20, 117-122. https://doi.org/10.1016/j.cobeha.2017.12.009
Ceschi, A., Costantini, A., Sartori, R., Weller, J., & Di Fabio, A. (2019). Dimensions of decision-making: an evidence-based classification of heuristics and biases. Personality and Individual Differences, 146, 188-200. https://doi.org/10.1016/j.paid.2018.07.033
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
Ch'ng, K. S., & Zaharim, N. M. (2017). Confirmation bias and convergence of beliefs: An agent-based model approach. Malaysian Journal of Economic Studies, 47(1), 19-31.
Cislak, A., Formanowicz, M., & Saguy, T. (2018). Bias against research on gender bias. Scientometrics, 115(1), 189-200. https://doi.org/10.1007/s11192-018-2667-0
Coussement, C., Maurage, P., Billieux, J., & Heeren, A. (2019). Does change in attention control mediate the impact of tDCS on attentional bias for threat? Limited evidence from a double-blind sham-controlled experiment in an unselected sample. Psychologica Belgica, 59(1), 16-32. http://doi.org/10.5334/pb.449
Curley, L. J., Murray, J., & MacLean, R. (2016). Heuristics: The good, the bad, and the biased. What value can bias have for decision makers? Psychology Postgraduate Affairs Group Quarterly, (100), 41-44.
de Boer, L., Axelsson, J., Chowdhury, R., Riklund, K., Dolan, R. J., Nyberg, L., Bäckman, L., & Guitart-Masip, M. (2019). Dorsal striatal dopamine D1 receptor availability predicts an instrumental bias in action learning. Proceedings of the National Academy of Sciences, 116(1), 261-270. https://dx.doi.org/10.1073%2Fpnas.1816704116
Dibbets, P., & Meesters, C. (2017). The influence of stimulus valence on confirmation bias in children. Journal of Behavior Therapy and Experimental Psychiatry, 54, 88-92. https://doi.org/10.1016/j.jbtep.2016.07.007
Dror, I. E., & Langenburg, G. (2019). “Cannot decide”: The fine line between appropriate inconclusive determinations versus unjustifiably deciding not to decide. Journal of Forensic Sciences, 64(1), 10-15. https://doi.org/10.1111/1556-4029.13854
Earp, B. D., & Wilkinsonand, D. (2018). The publication symmetry test: a simple editorial heuristic to combat publication bias. Journal of Clinical and Translational Research, 3(Suppl 2), 348-350.
East Tennessee State University (2014 September 9). Thinking and intelligence: Heuristics and fallacies [Video] (9:18 minutes). YouTube. https://www.youtube.com/watch?v=mXpJGiwHzg8
Eickhoff, C. (2018, February). Cognitive biases in crowdsourcing. In Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining (pp. 162-170). ACM. https://doi.org/10.1145/3159652.3159654
Engle-Friedman, M., Mathew, G. M., Martinova, A., Armstrong, F., & Konstantinov, V. (2018). The role of sleep deprivation and fatigue in the perception of task difficulty and use of heuristics. Sleep Science, 11(2), 74-84. https://dx.doi.org/10.5935%2F1984-0063.20180016
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
Fani, N., Jovanovic, T., Ely, T. D., Bradley, B., Gutman, D., Tone, E. B., & Ressler, K. J. (2012). Neural correlates of attention bias to threat in post-traumatic stress disorder. Biological Psychology, 90(2), 134–142. https://doi.org/10.1016/j.biopsycho.2012.03.001
Fernandes, M. (2019). Confirmation bias in social networks. https://www.sunysb.edu/commcms/economics/research/papers/2019/BiasInNetworks_1905.pdf
Fisher, M., & Keil, F. C. (2018). The binary bias: A systematic distortion in the integration of information. Psychological Science, 29(11), 1846-1858. https://doi.org/10.1177/0956797618792256
Ford, C. G., & Shook, N. J. (2019). Negative cognitive bias and perceived stress: Independent mediators of the relation between mindfulness and emotional distress. Mindfulness, 10(1), 100-110. https://doi.org/10.1007/s12671-018-0955-7
Fryer Jr, R. G., Harms, P., & Jackson, M. O. (2019). Updating beliefs when evidence is open to interpretation: Implications for bias and polarization. Journal of the European Economic Association, 17(5), 1470-1501.
Fu, X., & Pérez-Edgar, K. (2019). Threat-related attention bias in socioemotional development: A critical review and methodological considerations. Developmental Review, 51, 31-57. https://dx.doi.org/10.1016%2Fj.dr.2018.11.002
Gehlbach, H., & Vriesema, C. C. (2018). Meta-bias: A practical theory of motivated thinking. Educational Psychology Review, 1-21.https://doi.org/10.1007/s10648-018-9454-6
Geurten, M., Meulemans, T., & Willems, S. (2018). A closer look at children’s metacognitive skills: the case of the distinctiveness heuristic. Journal of Experimental Child Psychology, 172, 130-148. https://doi.org/10.1016/j.jecp.2018.03.007
Gigerenzer, G. (2018). The bias bias in behavioral economics. Review of Behavioral Economics, 5(3-4), 303-336. http://dx.doi.org/10.1561/105.00000092
Geurten, M., Meulemans, T., & Willems, S. (2018). A closer look at children’s metacognitive skills: the case of the distinctiveness heuristic. Journal of Experimental Child Psychology, 172, 130-148.
Google (2017, August 25). Machine learning and human bias [Video] (2:33 minutes). YouTube. https://www.youtube.com/watch?v=59bMh59JQDo&feature=youtu.be
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
Grogan, K. E. (2019). How the entire scientific community can confront gender bias in the workplace. Nature Ecology & Evolution, 3(1), 3-6. https://doi.org/10.1038/s41559-018-0747-4
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
Hanley, A., Garland, E., Canto, A., Warner, A., Hanley, R., Dehili, V., & Proctor, A. (2015). Dispositional mindfulness and bias in self-theories. Mindfulness, 6(2), 202-207. https://doi.org/10.1007/s12671-013-0245-3
Hennes, E. P., Pietri, E. S., Moss-Racusin, C. A., Mason, K. A., Dovidio, J. F., Brescoll, V. L., Bailey, A. H., & Handelsman, J. (2018). Increasing the perceived malleability of gender bias using a modified Video Intervention for Diversity in STEM (VIDS). Group Processes & Intergroup Relations, 21(5), 788–809. https://doi.org/10.1177/1368430218755923
Holmgren, M., Kabanshi, A., Marsh, J. E., & Sörqvist, P. (2018). When A+ B< A: Cognitive bias in experts’ judgment of environmental impact. Frontiers in Psychology, 9, Article 823. https://dx.doi.org/10.3389%2Ffpsyg.2018.00823
Hossenfelder, S. (2019, December 14). How scientists can avoid cognitive bias [Video] (8:27 minutes).YouTube. https://www.youtube.com/watch?v=ZNeD2a95ROE
IBM Research (2018, March 18). AI bias will explode. But only the unbiased AI will survive [Video] (1:41 minutes). YouTube. https://www.youtube.com/watch?v=q44XUZdCIMM
IBM Research (2012, December 7). NIPS 2017: Reducing unfair discrimination in AI [Video] (1: 52 minutes). YouTube. https://www.youtube.com/watch?v=MTQ-JZZUIjU
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
Jane Street (2017, May 1). Heuristics and biases [Video] (53:43 minutes).YouTube. https://www.youtube.com/watch?v=o5gP9GmOshI
Johnson, S. G., Valenti, J. J., & Keil, F. C. (2019). Simplicity and complexity preferences in causal explanation: An opponent heuristic account. Cognitive Psychology, 113, Article 101222. https://doi.org/10.1016/j.cogpsych.2019.05.004
Judah, G., Gardner, B., Kenward, M. G., DeStavola, B., & Aunger, R. (2018). Exploratory study of the impact of perceived reward on habit formation. BMC Psychology, 6(1), Article 62. https://doi.org/10.1186/s40359-018-0270-z
Kakoschke, N., Hawker, C., Castine, B., de Courten, B., & Verdejo‐Garcia, A. (2018). Smartphone‐based cognitive bias modification training improves healthy food choice in obesity: A pilot study. European Eating Disorders Review, 26(5), 526-532. https://doi.org/10.1002/erv.2622
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
Karsay, K., & Schmuck, D. (2019). “Weak, sad, and lazy fatties”: Adolescents’ explicit and implicit weight bias following exposure to weight loss reality TV shows. Media Psychology, 22(1), 60-81. https://doi.org/10.1080/15213269.2017.1396903
Kopeinik, S., Lex, E., Kowald, D., Albert, D., & Seitlinger, P. (2019). A real-Life school study of confirmation bias and polarisation in information behaviour. In European Conference on Technology Enhanced Learning (pp. 409-422). Springer, Cham.
Korteling, J. E., Brouwer, A. M., & Toet, A. (2018). A neural network framework for cognitive bias. Frontiers in Psychology, 9, Article 1561. https://dx.doi.org/10.3389%2Ffpsyg.2018.01561
Krakauer, J. W., Ghazanfar, A. A., Gomez-Marin, A., MacIver, M. A., & Poeppel, D. (2017). Neuroscience needs behavior: Correcting a reductionist bias. Neuron, 93(3), 480-490. https://doi.org/10.1016/j.neuron.2016.12.041
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
Lantz, B., Gladfelter, A. S., & Ruback, R. B. (2019). Stereotypical hate crimes and criminal justice processing: A multi-dataset comparison of bias crime arrest patterns by offender and victim race. Justice Quarterly, 36(2), 193-224. https://doi.org/10.1080/07418825.2017.1399211
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Meppelink, C. S., Smit, E. G., Fransen, M. L., & Diviani, N. (2019). “I was right about vaccination”: Confirmation bias and health literacy in online health information seeking. Journal of Health Communication, 24(2), 129-140. https://doi.org/10.1080/10810730.2019.1583701
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Date of last update: 14-Dec-2022 CB
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