Effects of personal characteristics on susceptibility to decision bias

Alexander Toet Toet, Anne-Marie Brouwer, Karel van den Bosch, J.E. (Hans) Korteling

Abstract


 

Cognitive biases and heuristics are pervasive simplifications and distortions in judgement and reasoning that systematically affect human decision making. Knowledge in this area may enable us to foresee and reduce detrimental effects of biases or to influence others more effectively. We therefore performed a literature study to assess the influence of personal characteristics (cognitive abilities, expertise, personality, cultural background) on the occurrence of cognitive biases. We found that each of the aforementioned factors can affect cognitive biases, though not much is known about the effects of culture. Also, factors that appear to reduce a cognitive bias may in fact mitigate (suppress or override) its behavioral effect rather than preventing the bias from occurring at all. The general picture that arises is that bias susceptibility and the occurrence of biases depend on thinking style (heuristic versus deliberate), where thinking style is associated with an individual’s personal characteristics. In general, biases are reduced when a deliberate (analytical) thinking style is applied. However, whether a specific (heuristic or deliberate)  thinking style actually reduces or enhances a given type of bias also depends on the context. 



Keywords


bias, heuristics, personal characteristics, decision making, judgement

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References


Aron, A. R. (2007). The neural basis of inhibition in cognitive control. The Neuroscientist, 13(3), 214-228. doi:10.1177/1073858407299288

Bergman, O., Ellingsen, T., Johannesson, M., & Svensson, C. (2010). Anchoring and cognitive ability. Economics Letters, 107(1), 66-68. doi:10.1016/j.econlet.2009.12.028

Bodenhausen, G. V., Gabriel, S., & Lineberger, M. (2000). Sadness and susceptibility to judgmental bias: The case of anchoring. Psychological Science, 11(4), 320-323. doi:10.1111/1467-9280.00263

Brust-Renck, P. G., Reyna, V. F., Corbin, J. C., Royer, C. E., & Weldon, R. B. (2014). The role of numeracy in risk communication, Thousand Oaks, CA, USA.

Cacioppo, J. T., & Petty, R. E. (1982). The need for cognition. Journal of Personality and Social Psychology, 42(1), 116-131. doi:10.1037/0022-3514.42.1.116

Caputo, A. (2014). Relevant information, personality traits and anchoring effect. International Journal of Management and Decision Making, 13(1), 62-76. doi:10.1504/IJMDM.2014.058470

Cattell, R. B. (1987). Intelligence: Its structure, growth, and action. New York, USA: Elsevier Science Publishing Comapny, Inc.

Chi, M. T., Glaser, R., & Farr, M. J. (1988). The nature of expertise. Hillsdale, NJ, USA: Lawrence Erlbaum Assoiates, Inc.

Choi, I., & Nisbett, R. E. (2000). Cultural psychology of surprise: Holistic theories and recognition of contradiction. Journal of Personality and Social Psychology, 79(6), 890-905. doi:10.1037/0022-3514.79.6.890

Dane, E., & Pratt, M. G. (2007). Exploring intuition and its role in managerial decision making. Academy of Management Review, 32(1), 33-54. doi:10.5465/AMR.2007.23463682

Davis, P. K., Kulick, J., & Egner, M. (2005). Implications of modern decision science for military decision-support systems. Santa Monica, CA, USA: RAND Corporation.

De Martino, B., Kumaran, D., Seymour, B., & Dolan, R. J. (2006). Frames, biases, and rational decision-making in the human brain. Science, 313(5787), 684-687. doi:10.1126/science.1128356

De Neys, W. (2006). Automaticheuristic and executiveanalytic processing during reasoning: Chronometric and dual-task considerations. The Quarterly Journal of Experimental Psychology, 59(6), 1070-1100. doi:10.1080/02724980543000123

De Neys, W. (2012). Bias and conflict: A case for logical intuitions. Perspectives on Psychological Science, 7(1), 28-38. doi:10.1177/1745691611429354

Dolcos, S., Hu, Y., Iordan, A., Moore, M., & Dolcos, F. (2015). Optimism and the brain: Trait optimism mediates the protective role of the orbitofrontal cortex gray matter volume against anxiety. Social Cognitive and Affective Neuroscience, 11(2), 263-271. doi:10.1093/scan/nsv106

Englich, B., & Soder, K. (2009). Moody experts ï€­ï€ how mood and expertise influence judgmental anchoring. Judgment and Decision Making, 4(1), 41-50.

Epstein, S., Pacini, R., Denes-Raj, V., & Heier, H. (1996). Individual differences in intuitiveexperiential and analyticalrational thinking styles. Journal of Personality and Social Psychology, 71(2), 390-405. doi:10.1037/0022-3514.71.2.390

Eroglu, C., & Croxton, K. L. (2010). Biases in judgmental adjustments of statistical forecasts: The role of individual differences. International Journal of Forecasting, 26(1), 116-133. doi:10.1016/j.ijforecast.2009.02.005

Evans, J. S. B. T. (1984). Heuristic and analytic processes in reasoning. British Journal of Psychology, 75(4), 451-468. doi:10.1111/j.2044-8295.1984.tb01915.x

Evans, J. S. B. T. (1989). Bias in human reasoning: Causes and consequences. London, UK: Lawrence Erlbaum Associates, Inc.

Evans, J. S. B. T. (2006). The heuristic-analytic theory of reasoning: Extension and evaluation. Psychonomic Bulletin & Review, 13(3), 378-395. doi:10.3758/BF03193858

Fallon, C. K., Panganiban, A. R., Wohleber, R., Matthews, G., Kustubayeva, A. M., & Roberts, R. (2014). Emotional intelligence, cognitive ability and information search in tactical decision-making. Personality and Individual Differences, 65(0), 24-29. doi:10.1016/j.paid.2014.01.029

Fawcett, T. W., Fallenstein, B., Higginson, A. D., Houston, A. I., Mallpress, D. E. W., Trimmer, P. C., & McNamara, J. M. (2014). The evolution of decision rules in complex environments. Trends in Cognitive Sciences, 18(3), 153-161. doi:10.1016/j.tics.2013.12.012

Frederick, S. (2005). Cognitive reflection and decision making. Journal of Economic Perspectives, 19(4), 25-42. doi:10.1257/089533005775196732

Fuchs, H. M., Steigenberger, N., & Lübcke, T. (2015). Intuition or deliberationï€ ï€­ï€ how do professionals make decisions in action? Paper presented at the Proceedings of the 12th International Conference on Information Systems for Crisis Response & Management (ISCRAM 2015), Kristiansand, Denmark.

Furnham, A., & Boo, H. C. (2011). A literature review of the anchoring effect. The Journal of Socio-Economics, 40(1), 35-42. doi:10.1016/j.socec.2010.10.008

Furnham, A., Boo, H. C., & McClelland, A. (2012). Individual differences and the susceptibility to the influence of anchoring cues. Journal of Individual Differences, 33(2), 89-93. doi:10.1027/1614-0001/a000076

Gamliel, E., Kreiner, H., & Garcia-Retamero, R. (2015). The moderating role of objective and subjective numeracy in attribute framing. International Journal of Psychology, 51(2), 109-116. doi:10.1002/ijop.12138

Ghazal, S., Cokely, E. T., & Garcia-Retamero, R. (2014). Predicting biases in very highly educated samples: Numeracy and metacognition. Judgment and Decision Making, 9(1), 15-34.

Gigerenzer, G., & Gaissmaier, W. (2010). Heuristic decision making. Annual Review of Psychology, 62(1), 451-482. doi:10.1146/annurev-psych-120709-145346

Goldstein, D. G., & Gigerenzer, G. (2002). Models of ecological rationality: The recognition heuristic. Psychological Review, 109(1), 75-90. doi:10.1037//0033-295X.109.1.75

Haerem, T., Kuvaas, B., Bakken, B. T., & Karlsen, T. (2011). Do military decision makers behave as predicted by prospect theory? Journal of Behavioral Decision Making, 24(5), 482-497. doi:10.1002/bdm.704

Haselton, M. G., Nettle, D., & Andrews, P. W. (2005). The evolution of cognitive bias. In D. M. Buss (Ed.), The handbook of evolutionary psychology (pp. 724-746). Hoboken, NJ, USA: John Wiley & Sons Inc.

Heath, C., & Tversky, A. (1991). Preference and belief: Ambiguity and competence in choice under uncertainty. Journal of Risk and Uncertainty, 4(1), 5-28. doi:10.1007/BF00057884

Hogarth, R. M. (2010). Intuition: A challenge for psychological research on decision making. Psychological Inquiry, 21(4), 338-353. doi:10.1080/1047840X.2010.520260

Jasper, J. D., Bhattacharya, C., Levin, I. P., Jones, L., & Bossard, E. (2013). Numeracy as a predictor of adaptive risky decision making. Journal of Behavioral Decision Making, 26(2), 164-173. doi:10.1002/bdm.1748

John, O. P., & Srivastava, S. (1999). The big five trait taxonomy: History, measurement, and theoretical perspectives. In L. A. Pervin & O. P. John (Eds.), Handbook of personality: Theory and research (2nd ed.) (Vol. 2, pp. 102-138). New York, NY: Guilford Press.

Kahneman, D. (2003). A perspective on judgment and choice: Mapping bounded rationality. American Psychologist, 58(9), 697-720. doi:10.1037/0003-066X.58.9.697

Kahneman, D., & Frederick, S. (2002). Representativeness revisited: Attribute substitution in intuitive judgment. In T. Gilovich, D. Griffin, & D. Kahneman (Eds.), Heuristics and biases: The psychology of intuitive judgment (pp. 49-81). New York, NY, US: Cambridge University Press.

Kahneman, D., & Frederick, S. (2007). Frames and brains: Elicitation and control of response tendencies. Trends in Cognitive Sciences, 11(2), 45-46. doi:10.1016/j.tics.2006.11.007

Kahneman, D., & Klein, G. (2009). Conditions for intuitive expertise: A failure to disagree. American Psychologist, 64(6), 515-526. doi:10.1037/a0016755

Kim, S. H., & Hamann, S. (2007). Neural correlates of positive and negative emotion regulation. Journal of Cognitive Neuroscience, 19(5), 776-798. doi:10.1162/jocn.2007.19.5.776

Klein, G. (2015). Naturalistic decision making suggestions for improving intuitive decision making. Journal of Applied Research in Memory and Cognition, 4(3), 164-168. doi:10.1016/j.jarmac.2015.07.001

Klein, G. A. (1993). A recognition-primed decision (rpd) model of rapid decision making. In G. A. Klein, J. Orasanu, R. Calderwood, & C. Zsambok (Eds.), Decision making in action: Models and methods (pp. 138-147). Norwood, NJ: Ablex Publishing Corporation.

Kurzban, R., Duckworth, A., Kable, J. W., & Myers, J. (2013). An opportunity cost model of subjective effort and task performance. The Behavioral and brain sciences, 36(6), 661-679. doi:10.1017/S0140525X12003196

Kuzmanovic, B., Jefferson, A., & Vogeley, K. (2015). Self-specific optimism bias in belief updating is associated with high trait optimism. Journal of Behavioral Decision Making, 28(3), 281-293. doi:10.1002/bdm.1849

Lu, Y. (2015). Is experiential-intuitive cognitive style more inclined to err on conjunction fallacy than analytical-rational cognitive style? Frontiers in Psychology, 6(Article nr. 85), 1-8. doi:10.3389/fpsyg.2015.00085

McElroy, T., & Dowd, K. (2007). Susceptibility to anchoring effects: How openness-to-experience influences responses to anchoring cues. Judgment and Decision Making, 2(1), 48-53.

Miller, P. M., & Fagley, N. S. (1991). The effects of framing, problem variations, and providing rationale on choice. Personality and Social Psychology Bulletin, 17(5), 517-522. doi:10.1177/0146167291175006

Nisbett, R. E., Peng, K., Choi, I., & Norenzayan, A. (2001). Culture and systems of thought: Holistic versus analytic cognition. Psychological Review, 108(2), 291-310. doi:10.1037//0033-295X.108.2.291

Oechssler, J., Roider, A., & Schmitz, P. W. (2009). Cognitive abilities and behavioral biases. Journal of Economic Behavior & Organization, 72(1), 147-152.

Ohlert, C. R., & Weißenberger, B. E. (2015). Beating the base-rate fallacy: An experimental approach on the effectiveness of different information presentation formats. Journal of Management Control, 26(1), 51-80. doi:10.1007/s00187-015-0205-2

Peters, E., Västfjäll, D., Slovic, P., Mertz, C. K., Mazzocco, K., & Dickert, S. (2006). Numeracy and decision making. Psychological Science, 17(5), 407-413. doi:10.1111/j.1467-9280.2006.01720.x

Pohl, R. F., Bender, M., & Lachmann, G. (2002). Hindsight bias around the world. Experimental Psychology, 49(4), 270-282. doi:10.1026//1618-3169.49.4.270

Raab, M., & Laborde, S. (2011). When to blink and when to think. Research Quarterly for Exercise and Sport, 82(1), 89-98. doi:10.1080/02701367.2011.10599725

Rolls, E. T. (2004). The functions of the orbitofrontal cortex. Brain and Cognition, 55(1), 11-29. doi:10.1016/S0278-2626(03)00277-X

Rolls, E. T., & Grabenhorst, F. (2008). The orbitofrontal cortex and beyond: From affect to decision-making. Progress in Neurobiology, 86(3), 216-244. doi:10.1016/j.pneurobio.2008.09.001

Sander, D., Grafman, J., & Zalla, T. (2003). The human amygdala: An evolved system for relevance detection. Reviews in the Neurosciences, 14(4), 303-316. doi:10.1515/REVNEURO.2003.14.4.303

Santos, L. R., & Rosati, A. G. (2015). The evolutionary roots of human decision making. Annual Review of Psychology, 66(1), 321-347. doi:10.1146/annurev-psych-010814-015310

Sauter, V. L. (1999). Intuitive decision-making. Communications of the ACM, 42(6), 109-115. doi:10.1145/303849.303869

Scheier, M. F., Carver, C. S., & Bridges, M. W. (1994). Distinguishing optimism from neuroticism (and trait anxiety, self-mastery, and self-esteem): A reevaluation of the life orientation test. Journal of Personality and Social Psychology, 67(6), 1063-1078. doi:10.1037/0022-3514.67.6.1063

Scott, W. G., Christopher, J. R., & John, G., I. (1998). The impact of cultural values on escalation of commitment. The International Journal of Organizational Analysis, 6(2), 165-176. doi:10.1108/eb028883

Sharot, T. (2011). The optimism bias. Current Biology, 21(23), R941-R945. doi:10.1016/j.cub.2011.10.030

Shiloh, S., Salton, E., & Sharabi, D. (2002). Individual differences in rational and intuitive thinking styles as predictors of heuristic responses and framing effects. Personality and Individual Differences, 32(3), 415-429. doi:10.1016/S0191-8869(01)00034-4

Sieck, W., & Yates, J. F. (1997). Exposition effects on decision making: Choice and confidence in choice. Organizational Behavior and Human Decision Processes, 70(3), 207-219. doi:10.1006/obhd.1997.2706

Simon, A. F., Fagley, N. S., & Halleran, J. G. (2004). Decision framing: Moderating effects of individual differences and cognitive processing. Journal of Behavioral Decision Making, 17(2), 77-93. doi:10.1002/bdm.463

Simon, H. A. (1972). Theories of bounded rationality. In C. B. McGuire & R. Radner (Eds.), Decision and organization (pp. 161-176). Amsterdam, The Netherlands: North-Holland Publishing Company.

Sinayev, A., & Peters, E. (2015). Cognitive reflection vs. Calculation in decision making. Front Psychol, 6(Article 532), 1-16. doi:10.3389/fpsyg.2015.00532

Sloman, S. A. (1996). The empirical case for two systems of reasoning. Psychological Bulletin, 119(1), 3-22. doi:10.1037/0033-2909.119.1.3

Söllner, A., Broeder, A., & Hilbig, B. E. (2013). Deliberation versus automaticity in decision making: Which presentation format features facilitate automatic decision making? Judgment and Decision Making, 8(3), 278-298.

Stanovich, K. E., & West, R. F. (2008). On the relative independence of thinking biases and cognitive ability. Journal of Personality and Social Psychology, 94(4), 672-695. doi:10.1037/0022-3514.94.4.672

Strutton, D., & Carter, W. (2013). Reducing biases in cross-cultural top management team decision-making processes. International Journal of Business Administration, 4(3), 1-13. doi:10.5430/ijba.v4n3p1

Svedholm-Häkkinen, A. M. (2015). Highly reflective reasoners show no signs of belief inhibition. Acta Psychologica, 154(0), 69-76. doi:10.1016/j.actpsy.2014.11.008

Takemura, K. (1993). The effect of decision frame and decision justification on risky choice. Japanese Psychological Research, 35(1), 36-40. doi:10.4992/psycholres1954.35.36

Teovanovic, P., Knezevic, G., & Stankov, L. (2015). Individual differences in cognitive biases: Evidence against one-factor theory of rationality. Intelligence, 50, 75-86. doi:10.1016/j.intell.2015.02.008

Tversky, A., & Kahneman, D. (1974). Judgment under uncertainty: Heuristics and biases. Science, 185(4157), 1124-1131. doi:10.1126/science.185.4157.1124

Tversky, A., & Kahneman, D. (1981). The framing of decisions and the psychology of choice. Science, 211(4481), 453-458. doi:10.1126/science.7455683

Verplanken, B., & Pieters, R. G. M. (1988). Individual differences in reverse hindsight bias: I never thought something like chernobyl would happen. Did I? Journal of Behavioral Decision Making, 1(3), 131-147. doi:10.1002/bdm.3960010302

Welsh, M. B., Delfabbro, P. H., Burns, N. R., & Begg, S. H. (2014). Individual differences in anchoring: Traits and experience. Learning and Individual Differences, 29, 131-140. doi:10.1016/j.lindif.2013.01.002

Yama, H., Manktelow, K. I., Mercier, H., Henst, J.-B. V. d., Soo Do, K., Kawasaki, Y., & Adachi, K. (2010). A cross-cultural study of hindsight bias and conditional probabilistic reasoning. Thinking & Reasoning, 16(4), 346-371. doi:10.1080/13546783.2010.526786

Yip, J. A., & Côté, S. (2013). The emotionally intelligent decision maker: Emotion-understanding ability reduces the effect of incidental anxiety on risk taking. Psychological Science, 24(1), 48-55. doi:10.1177/0956797612450031

Yoder, C. Y., Mancha, R., & Agrawal, N. (2014). Culture-related factors affect sunk cost bias. Behavioral Development Bulletin, 19(4), 105-118. doi:10.1037/h0101086

Zald, D. H. (2003). The human amygdala and the emotional evaluation of sensory stimuli. Brain Research Reviews, 41(1), 88-123. doi:10.1016/S0165-0173(02)00248-5


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