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A dual system model of preferences under risk
Abstract
This article presents a dual system model (DSM) of decision making under risk and uncertainty according to which the value of a gamble is a combination of the values assigned to it independently by the affective and deliberative systems. On the basis of research on dual process theories and empirical research in Hsee and Rottenstreich (2004) and Rottenstreich and Hsee (2001) among others, the DSM incorporates (a) individual differences in disposition to rational versus emotional decision making, (b) the affective nature of outcomes, and (c) different task construals within its framework. The model has good descriptive validity and accounts for (a) violation of nontransparent stochastic dominance, (b) fourfold pattern of risk attitudes, (c) ambiguity aversion, (d) common consequence effect, (e) common ratio effect, (f) isolation effect, and (g) coalescing and event-splitting effects. The DSM is also used to make several novel predictions of conditions under which specific behavior patterns may or may not occur.
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“As with autonomic function, arousal states can habituate if the appetitive behaviors become routine, leading to less potent gratification and a dampening of mesolimbic dopamine response over time.”
From Assessment and treatment of compulsive sexual behavior disorder: a sexual medicine perspective (2024) · cites this paper as [92]
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Deck, C., & Jahedi, S. (2015) · European Economic Review · doi:10.1016/j.euroecorev.2015.05.004 · Cited by 304
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BackgroundRisk Perception and Protective Behaviors During the Rise of the COVID-19 Outbreak in Italy
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Beyond Rational Choice: the Hot/Cool Perspective of Criminal Decision Making
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“Finally, both modes influence decision making behavior to varying degrees, depending not only on the nature of decision outcomes and the way a situation is framed but also on individual differences (Mukherjee, 2010).”
BackgroundDual processing model of medical decision-making
Djulbegović, B., Hozo, I., Beckstead, J. W., Tsalatsanis, A., & Pauker, S. G. (2012) · BMC Medical Informatics and Decision Making · doi:10.1186/1472-6947-12-94 · Cited by 143
“Mukherjee recently developed a formal mathematical model, which assumes parallel functioning by both systems, while the final decision is a weighted combination of the valuations from both systems based on the value maximization paradigm (Figure 1) [11].”
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Sussman, T. J., Jin, J., & Mohanty, A. (2016) · Biological Psychology · doi:10.1016/j.biopsycho.2016.08.006 · Cited by 145
Modeling the interplay between affect and deliberation.
Loewenstein, G. F., O’Donoghue, T., & Bhatia, S. (2015) · Decision · doi:10.1037/dec0000029 · Cited by 135
“(3) The assumptions underlying Equation 3 come from diverse lines of research from a range of disciplines and resemble some of the assumptions made in Mukherjee (2010).”
BackgroundAdaptive Choice-Based Conjoint Analysis
Cunningham, C. E., Deal, K., & Chen, Y. (2010) · Patient · doi:10.2165/11537870-000000000-00000 · Cited by 118
“Dual-process models have emerged as an important conceptual framework in the study of human information processing and decision making.([40]) These models have been applied Adaptive Choice-Based Conjoint Analysis 259”
MethodHuman–robot similarity and willingness to work with a robotic co-worker
You, S., & Robert Jr., L. P. (2018) · Proceedings of the 2018 ACM/IEEE International Conference on Human-Robot Interaction · doi:10.1145/3171221.3171281 · Cited by 118
“Low-risk situations are less likely to trigger and will not make individuals engage in a careful reasoning when choosing between working with a human and working with a robot [38, 50].”
BackgroundFast or Rational? A Response-Times Study of Bayesian Updating
Achtziger, A., & Alós‐Ferrer, C. (2013) · Management Science · doi:10.1287/mnsc.2013.1793 · Cited by 104
“It is worth noting that, until now, only some dual-process accounts have explicitly addressed decision making under uncertainty (a recent exception is Mukherjee, 2010).”
BackgroundRational Misbehavior? Evaluating an Integrated Dual-Process Model of Criminal Decision Making
van Gelder, J., & de Vries, R. E. (2013) · Journal of Quantitative Criminology · doi:10.1007/s10940-012-9192-8 · Cited by 111
“That is, both modes influence decision making behavior to varying degrees, depending on factors such as individual differences, situational characteristics and the nature of the decision outcomes (Mukherjee 2010).”
BackgroundDomain-specific preferences for intuition and deliberation in decision making.
Pachur, T., & Spaar, M. (2015) · Journal of Applied Research in Memory and Cognition · doi:10.1016/j.jarmac.2015.07.006 · Cited by 96
Thinking Fast Increases Framing Effects in Risky Decision Making
Guo, L., Trueblood, J. S., & Diederich, A. (2017) · Psychological Science · doi:10.1177/0956797616689092 · Cited by 97
“The intuitive system is responsible for fast processes that are affective, emotional, and automatic, while the deliberative system is responsible for slower processes that are more analytical, rational, and calculating in nature (Chaiken & Trope, 1999; Kahneman & Frederick, 2002; Mukherjee, 2010; Sloman, 1996; Stanovi…”
BackgroundGlöckner, A., Hilbig, B. E., Henninger, F., & Fiedler, S. (2016) · Journal of Experimental Psychology General · doi:10.1037/a0040103 · Cited by 86
A formal model of fuzzy-trace theory: Variations on framing effects and the Allais Paradox.
Broniatowski, D. A., & Reyna, V. F. (2017) · Decision · doi:10.1037/dec0000083 · Cited by 82
“Although there have been some efforts to model standard dual-process-models (e.g., Loewenstein, O’Donoghue, & Bhatia, 2015; Mukherjee, 2010), these prior dual-process models have not been evaluated for fit to actual subjects’ data.”
How Affect Shapes Risky Choice: Distorted Probability Weighting Versus Probability Neglect
Suter, R. S., Pachur, T., & Hertwig, R. (2015) · Journal of Behavioral Decision Making · doi:10.1002/bdm.1888 · Cited by 87
“Mukherjee (2010) recently proposed a formalized a dual-system model (DSM) approach for risky choice.”
BackgroundReading Emotion From Mouse Cursor Motions: Affective Computing Approach
Yamauchi, T., & Xiao, K. (2017) · Cognitive Science · doi:10.1111/cogs.12557 · Cited by 78
Djulbegović, B., den Ende, J. V., Hamm, R. M., Mayrhofer, T., Hozo, I., Pauker, S. G., & the International Threshold Working Group (ITWG) (2015) · European Journal of Clinical Investigation · doi:10.1111/eci.12421 · Cited by 66
Choice Architecture for Human-Computer Interaction
Jameson, A., Berendt, B., Gabrielli, S., Cena, F., Cristina Gena, A., Vernero, F., & Reinecke, K. (2014) · Foundations and Trends® in Human–Computer Interaction · doi:10.1561/1100000028 · Cited by 72
Cardoso, F., Afonso, J. R., Roca, A., & Teoldo, I. (2020) · Journal of Sports Sciences · doi:10.1080/02640414.2020.1851901 · Cited by 69
“…above is based on the assumptions of dual-system theory, where the response time in decision making and their management by Systems 1 and 2, seem to have different characteristics in the use of the perceptual-cognitive processes (Mukherjee, 2010; Reyna & Brainerd, 2011; Tversky & Kahneman, 1983).”
BackgroundD’Hondt, F., Billieux, J., & Maurage, P. (2015) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2015.10.005 · Cited by 68
Institutional investor behavioral biases: syntheses of theory and evidence
Ahmad, Z., Ibrahim, H., & Tuyon, J. (2017) · Management Research Review · doi:10.1108/mrr-04-2016-0091 · Cited by 78
Rochat, L., Maurage, P., Heeren, A., & Billieux, J. (2018) · Neuropsychology Review · doi:10.1007/s11065-018-9387-3 · Cited by 66
Cognitive factors associated with gaming disorder
Billieux, J., Potenza, M. N., Maurage, P., Brevers, D., Brand, M., & King, D. L. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-815298-0.00016-2 · Cited by 65
How do physicians decide to treat: an empirical evaluation of the threshold model
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“In recent years, it has become evident that decisionmaking theories which assume a single system of reasoning are not sufficient to explain human decision-making [8,9,26-28].”
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“…i.e., dual-process models, conceptualizing addictions as an imbalance between under-activated cognitive/reflective (mostly relying on prefrontal regions) and over-activated substance-related/reflexive (mostly related to subcortical limbic regions) systems (Mukherjee, 2010; Stacy & Wiers, 2010).”
BackgroundAction Change Theory: A Reinforcement Learning Perspective on Behavior Change
Vlaev, I., & Dolan, P. (2015) · Review of General Psychology · doi:10.1037/gpr0000029 · Cited by 61
“…dual process theories can be found in social, personality, cognitive, and clinical psychology (Barrett, Tugade, & Engle, 2004; Chaiken & Trope, 1999; Evans, 2008; Evans & Stanovich, 2013; Gawronski & Bodenhausen, 2006; Moss & Albery, 2009, 2010; Mukherjee, 2010; Sloman, 1996; Slovic et al., 2002).”
Assessment and treatment of compulsive sexual behavior disorder: a sexual medicine perspective
Briken, P., Bőthe, B., Carvalho, J., Coleman, E., Giraldi, A., Kraus, S. W., Lew-Starowicz, M., & Pfaus, J. G. (2024) · Sexual Medicine Reviews · doi:10.1093/sxmrev/qeae014 · Cited by 55
“84,91,92 Dishabituation can occur in response to different erotic stimuli that are perceived to be of higher arousing potential.”
BackgroundPhysical activity: A promising adjunctive treatment for severe alcohol use disorder
Cabé, N., Lanièpce, A., & Pitel, A. (2020) · Addictive Behaviors · doi:10.1016/j.addbeh.2020.106667 · Cited by 57
“Distinct cerebral networks underly each subcomponent: a prefrontal network for the deliberative-reflective subcomponent (prefrontal cortex, cingulum, cerebellum), and a limbic network for the affective-impulsive subcomponent (amygdala and striatum) (Mukherjee, 2010; Noël et al., 2013).”
BackgroundBeyond Inhibition: A Dual-Process Perspective to Renew the Exploration of Binge Drinking
Lannoy, S., Billieux, J., & Maurage, P. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00405 · Cited by 50
“DUAL-PROCESS MODEL IN ALCOHOL-DEPENDENCE Dual-process model (Mukherjee, 2010) posits that decisionmaking abilities result from the interactions between two systems: (1) the “reflective system,” involved in the cognitive evaluation of the stimuli by means of memory and executive functions, responsible for controlled-de…”
Buechel, E. C., Zhang, J., Morewedge, C. K., & Vosgerau, J. (2013) · Journal of Personality and Social Psychology · doi:10.1037/a0034478 · Cited by 48
“…differences in probability sensitivity for affect-rich versus affect-poor outcomes (Hsee & Rottenstreich, 2004; Loewenstein et al., 2001; Mukherjee, 2010; Rottenstreich & Hsee, 2001; Sunstein, 2002; Suter et al., 2012) as well as differences in sensitivity to other outcome…”
Jobes, D. A., Mandel, A. A., Kleiman, E. M., Bryan, C. J., Johnson, S. L., & Joiner, T. E. (2024) · Archives of Suicide Research · doi:10.1080/13811118.2023.2299259 · Cited by 56
“For these reasons, psychological pain in lethally suicidal crises—which is, at least in part, ideational—represents at least a candidate for the gravest form of human misery of all (the true “emperor of all maladies, the king of all terrors;” cf. Mukherjee, 2010; and Job 18:14).”
Emotions and Financial Decision Making
Zaleśkiewicz, T., & Traczyk, J. (2020) · Springer eBooks · doi:10.1007/978-3-030-45500-2_6 · Cited by 51
A rational reinterpretation of dual-process theories
Milli, S., Lieder, F., & Griffiths, T. L. (2021) · Cognition · doi:10.1016/j.cognition.2021.104881 · Cited by 49
“Decision-making under risk is another domain in which dual-process theories abound (e.g., Figner, Mackinlay, Wilkening, & Weber, 2009; Kahneman & Frederick, 2007; Mukherjee, 2010; Steinberg, 2010), and the dual-process perspective was inspired in part by Kahneman and”
BackgroundChoice Architecture for Human-Computer Interaction
Jameson, A. (2013) · now publishers, Inc. eBooks · doi:10.1561/9781601987976 · Cited by 42
Path dependence in risky choice: Affective and deliberative processes in brain and behavior
Hytönen, K., Baltussen, G., van den Assem, M. J., Klucharev, V. A., Sanfey, A. G., & Smidts, A. (2014) · Journal of Economic Behavior & Organization · doi:10.1016/j.jebo.2014.01.016 · Cited by 41
“In this light, references are proposed to reflect a combined result of these two systems, with the affective system driving nonlinearities in aluation and the deliberative system valuing outcomes more linearly (Hsee and Rottenstreich, 2004; Mukherjee, 2010).”
Sequential sampling and paradoxes of risky choice
Bhatia, S. (2014) · Psychonomic Bulletin & Review · doi:10.3758/s13423-014-0650-1 · Cited by 48
“…reflection, and event-splitting effects, provide strong evidence against theories that use expected utility to describe choice (Birnbaum, 2008; Brandstätter et al., 2006; Kahneman & Tversky, 1979; Loomes, 2010; Loomes & Sugden, 1982; Machina, 1987; Mukherjee, 2010; Starmer, 2000).”
BackgroundMethodResultInfluentialElectrophysiological studies in Internet addiction: A review within the dual-process framework
D’Hondt, F., & Maurage, P. (2015) · Addictive Behaviors · doi:10.1016/j.addbeh.2015.10.012 · Cited by 40
“In light of these results, it appears that Internet addiction can be integrated in the dual-process framework (Mukherjee, 2010; Noel, Brevers, & Bechara, 2013), proposing that addictive states are characterized by a disequilibrium between under-activated reflective system (involved in the cognitive…”
BackgroundResultInfluentialToxics, Toyotas, and Terrorism: The Behavioral Economics of Fear and Stigma
Schulze, W. D., & Wansink, B. C. (2012) · Risk Analysis · doi:10.1111/j.1539-6924.2011.01748.x · Cited by 41
“Two recent articles, the first by Lowenstein and O’Donoghue,(41) and the second by Mukherjee,(42) present formal behavioral economic models of consumer choice that capture the long tradition in psychology and decision theory that argues for the dualprocess approach summarized in Fig.”
BackgroundThe Potential Interaction Between Time Perception and Gaming: A Narrative Review
Nuyens, F., Kuss, D. J., López-Fernández, O., & Griffiths, M. D. (2019) · International Journal of Mental Health and Addiction · doi:10.1007/s11469-019-00121-1 · Cited by 50
“Therefore, this would indicate that gaming disorder can be related to an interaction of cognition (i.e., attentional processes) and emotions, which fits the framework offered by dual-process models (D’Hondt and Maurage 2017; Mukherjee 2010).”
Making assessments while taking repeated risks: A pattern of multiple response pathways.
Pleskac, T. J., & Wershbale, A. (2012) · Journal of Experimental Psychology General · doi:10.1037/a0031106 · Cited by 40
Attentional bias in alcohol drinkers: A systematic review of its link with consumption variables
Bollen, Z., Field, M., Billaux, P., & Maurage, P. (2022) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2022.104703 · Cited by 37
“They postulate that decision-making is determined by the interaction between: (1) the “reflective system”, responsible for the deliberative and controlled responses, and (2) the “impulsive system”, that initiates the automatic and appetitive behaviors (Mukherjee, 2010).”
BackgroundToo much or less? The effect of financial literacy on resident fraud victimization
Du, W., & Chen, M. (2023) · Computers in Human Behavior · doi:10.1016/j.chb.2023.107914 · Cited by 36
Cui, L., Ye, M., Sun, L., Zhang, S., & He, G. (2022) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2022.104851 · Cited by 36
The Strategic Use of Fear Appeals in Political Communication
Scheller, S. (2019) · Political Communication · doi:10.1080/10584609.2019.1631918 · Cited by 35
“This is very much in line with dual-process models of human decision making (Chaiken & Trope, 1999; Kahneman & Egan, 2011; MacKuen et al., 2007; Marcus, 1988; Marcus & MacKuen, 1993; Mukherjee, 2010; Sherman, Krieglmeyer, & Calanchini, 2014), which argue that humans are equipped with two distinct decision making syste…”
BackgroundMaurage, P., Bollen, Z., Masson, N., & D’Hondt, F. (2020) · Neuropsychology Review · doi:10.1007/s11065-020-09458-0 · Cited by 34
“This model (e.g., Mukherjee, 2010; Wiers et al., 2007) centrally postulates that efficient decision-making is determined by the balance between a “reflective system” (mostly relying on frontal regions and responsible for the deliberative and controlled responses) and a “reflexive system” (mostly…”
MethodBrink, A. G., Hobson, J. L., & Stevens, D. E. (2016) · Journal of Management Accounting Research · doi:10.2308/jmar-51533 · Cited by 30
The Effect of Construal Level on Intertemporal Choice and Risky Choice
Hai-Xian, C. H. E. N., & He, G. (2012) · Acta Psychologica Sinica · doi:10.3724/sp.j.1041.2011.00442 · Cited by 29
Emes, M. R., Smith, S. L., Ward, S., Smith, A., & Ming, T. (2017) · Health Systems · doi:10.1057/s41306-017-0027-6 · Cited by 30
“Although we have presented the two models as alternatives, it seems likely that Care and Flow will in practice influence decisions in tandem, such as in Mukherjee’s model of decision making under uncertainty as a weighted combination of System 1 and System 2 thinking (Mukherjee, 2010).”
MethodFear and trust: How risk perceptions of avian influenza affect Chinese consumers’ demand for chicken
Zhou, L., Turvey, C. G., Hu, W., & Ying, R. (2016) · China Economic Review · doi:10.1016/j.chieco.2016.06.003 · Cited by 30
“Recent models in psychology based on this dual process in a utility framework (Kahneman, 2011; Schulze & Wansink, 2012; Loewenstein & O'Donoghue, 2004; Mukherjee, 2010) could possibly add clarity to the complex interactions of food safety, and risk perceptions.”
Andersen, S., Harrison, G. W., Lau, M. I., & Rutström, E. E. (2013) · Journal of Economic Psychology · doi:10.1016/j.joep.2013.02.006 · Cited by 28
Huh, H. J., Baek, K., Kwon, J., Jeong, J., & Chae, J. (2016) · Cognitive Neuropsychiatry · doi:10.1080/13546805.2016.1230053 · Cited by 29
“Some of them have developed models which conceptualise the influence of affect and affective process as modulating nonlinear value and probability functions (Mukherjee, 2010).”
BackgroundHe, L., Analytis, P. P., & Bhatia, S. (2021) · Management Science · doi:10.1287/mnsc.2021.4090 · Cited by 30
Toward achieving persistent behavior change in household water conservation
Vivek, V., Malghan, D. V., & Mukherjee, K. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2023014118 · Cited by 27
Self-citationDoes self-control depletion affect risk attitudes?
Gerhardt, H., Schildberg-Hörisch, H., & Willrodt, J. (2017) · European Economic Review · doi:10.1016/j.euroecorev.2017.09.004 · Cited by 27
“While themost common application of these models is temporal discounting, the dual-self model by Fudenberg and Levine (2006, 2011) as well as the “dual-system” models by Loewenstein and O’Donoghue (2005) and Mukherjee (2010) also explicitly address decision making under risk.”
BackgroundMethodResultInfluentialMeasuring risk aversion to guide transportation policy: Contexts, incentives, and respondents
Dixit, V. V., Harb, R. C., Martínez‐Correa, J., & Rutström, E. E. (2015) · Transportation Research Part A Policy and Practice · doi:10.1016/j.tra.2015.07.002 · Cited by 27
Lannoy, S., Maurage, P., D’Hondt, F., Billieux, J., & Dormal, V. (2018) · European Addiction Research · doi:10.1159/000490492 · Cited by 26
Dual Processing Model for Medical Decision-Making: An Extension to Diagnostic Testing
Tsalatsanis, A., Hozo, I., Kumar, A., & Djulbegović, B. (2015) · PLoS ONE · doi:10.1371/journal.pone.0134800 · Cited by 24
“We hypothesize that this is because most existing models depend only on the analytical process of human cognition and ignore other experiential aspects of the decisions humans face[12,50].”
BackgroundConsumer Preference for Food Bundles under Cognitive Load: A Grocery Shopping Experiment
Carroll, K. A., Samek, A. S., & Zepeda, L. (2022) · Foods · doi:10.3390/foods11070973 · Cited by 26
System 1 Is Not Scope Insensitive: A New, Dual-Process Account of Subjective Value
Schley, D. R., de Langhe, B., & Long, A. R. (2020) · Journal of Consumer Research · doi:10.1093/jcr/ucaa015 · Cited by 21
“…their sensitivity to the scope of quantitative attributes and that this explains why increments along quantitative attributes often have diminishing marginal value (Hsee and Rottenstreich 2004; Hsee, Rottenstreich, and Xiao 2005; Mukherjee 2010; Patalano et al. 2015; Schley and Peters 2014).”
BackgroundOn prospect theory, making choices for others, and the affective psychology of risk
Sun, Q., Polman, E., & Zhang, H. (2021) · Journal of Experimental Social Psychology · doi:10.1016/j.jesp.2021.104177 · Cited by 21
Establishing the laws of preferential choice behavior
Bhatia, S., Loomes, G., & Read, D. (2021) · Judgment and Decision Making · doi:10.1017/s1930297500008457 · Cited by 19
“Models such as prospective reference theory (Viscusi, 1989), the dual-systems model of risk (Mukherjee, 2010), the dual-systems model of affect and deliberation (Loewenstein et al., 2015), the noisy retrieval model (Marchiori et al., 2015) and distracted decision field theory (Bhatia, 2014), which…”
BackgroundDoubt in the Insula: Risk Processing in Obsessive-Compulsive Disorder
Luigjes, J., Figee, M., Tobler, P. N., van den Brink, W., de Kwaasteniet, B. P., van Wingen, G. A., & Denys, D. A. J. P. (2016) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2016.00283 · Cited by 19
“Risk processing in humans is not only a deliberate calculation of probability but also involves the evaluation of affective states (Mukherjee, 2010).”
BackgroundPersonalized email marketing in loyalty programs: The role of multidimensional construal levels
Zhang, J., & Liu–Thompkins, Y. (2023) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-023-00927-5 · Cited by 25
“Consequently, individuals are more likely to rely on the affective (as opposed to deliberative, analytical) system in decision making as a target becomes more closer (Chang & Pham, 2013; Mukherjee, 2010).”
Cunningham, C. E., Henderson, J. L., Niccols, A., Dobbins, M., Sword, W. A., Chen, Y., Mielko, S., Milligan, K., Lipman, E. L., Thabane, L., et al. (2012) · Addiction · doi:10.1111/j.1360-0443.2012.03832.x · Cited by 20
Shevorykin, A., Carl, E. M., Mahoney, M. C., Hanlon, C. A., Liskiewicz, A., Rivard, C., Alberico, R. A., Belal, A., Bensch, L., Vantucci, D., et al. (2022) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2022.920383 · Cited by 16
“The Competing Neurobehavioral Decisions Systems (CNDS) Model is a broad, fundamental framework grounded in neuroeconomics and dual processing theory (Mukherjee, 2010).”
BackgroundModeling choice paradoxes under risk: From prospect theories to sampling-based accounts
Kellen, D., Steiner, M. D., Davis‐Stober, C. P., & Pappas, N. J. (2020) · Cognitive Psychology · doi:10.1016/j.cogpsych.2019.101258 · Cited by 23
Motivating Employees with Goal‐Based Prosocial Rewards*
Berger, L., Guo, L., & Presslee, A. (2022) · Contemporary Accounting Research · doi:10.1111/1911-3846.12821 · Cited by 16
“Conversely, the attainment probability should have little effect on the valuation of goal-based prosocial rewards because the affective approach is relatively insensitive to changes in outcome probability (Buechel et al. 2014; Hsee and Rottenstreich 2004; Mukherjee 2010).”
InfluentialLannoy, S., Dormal, V., Billieux, J., Brion, M., D’Hondt, F., & Maurage, P. (2018) · Addiction Biology · doi:10.1111/adb.12685 · Cited by 16
Bollen, Z., D’Hondt, F., Dormal, V., Lannoy, S., Masson, N., & Maurage, P. (2020) · Alcohol and Alcoholism · doi:10.1093/alcalc/agaa062 · Cited by 15
“According to dual-process models, decision-making relies on the interaction between the reflective system (underpinned by prefrontal areas and supervising rational behaviors) and the reflexive system (subtended by limbic regions and responsible for automatic approach behaviors; Mukherjee, 2010).”
The stability of self-control in a population-representative study
Cobb‐Clark, D. A., Kong, N., & Schildberg-Hörisch, H. (2023) · Journal of Economic Psychology · doi:10.1016/j.joep.2022.102599 · Cited by 15
Liu, Y., & Öncüler, A. (2015) · Journal of Behavioral Decision Making · doi:10.1002/bdm.1922 · Cited by 17
Beyond Cognition: Understanding Affective Impairments in Korsakoff Syndrome
Brion, M., D’Hondt, F., Davidoff, D. A., & Maurage, P. (2015) · Emotion Review · doi:10.1177/1754073915594433 · Cited by 14
“In this perspective, dual-process models (Bechara & Damasio, 2005; Mukherjee, 2010) offer an innovative theoretical background to renew the exploration of the continuity theory by exploring its generalization towards other cognitive abilities.”
BackgroundSchraven, E., van Burg, E., van Gelderen, M., & Masurel, E. (2020) · Journal of risk and financial management · doi:10.3390/jrfm13120331 · Cited by 15
“Thus, the final output that drives decisions is a combination of the evaluations of the two systems (Mukherjee 2010).”
BackgroundBerryessa, C. M., & Caplan, J. M. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.02222 · Cited by 13
“…and decision-making is actually a combination of two different process modes: rapid, automatic, effortless, and affective information processing (System 1), and slower, deliberate, effortful, and cognitive information processing (System 2) (Kahneman, 2003; Slovic et al., 2005; Mukherjee, 2010).”
BackgroundA cortical network model of cognitive and emotional influences in human decision making
Nazir, A. H., & Liljenström, H. (2015) · Biosystems · doi:10.1016/j.biosystems.2015.07.004 · Cited by 13
Psychoanalysis of Investor Irrationality and Dynamism in Stock Market
Tuyon, J., & Ahmad, Z. (2017) · Journal of Interdisciplinary Economics · doi:10.1177/0260107917697504 · Cited by 16
“The existing theories of decision only take a unitary (single system of thought) perspective towards human decision (Andersen, Harrison, Lau, & Rutstrom, 2013; Mukherjee, 2010) that are handicapped in explaining the heterogeneity of”
BackgroundMethodDo Affective States Influence Risk Preferences?
Treffers, T., Koellinger, P., & Picot, A. O. (2016) · Schmalenbach Business Review · doi:10.1007/s41464-016-0018-3 · Cited by 14
Cognitive Load Increases Risk Aversion
Biele, G., Uhlig, H., & Heekeren, H. R. (2012) · PsycEXTRA Dataset · doi:10.1037/e629522012-021 · Cited by 15
“Specifically, Hsee and Rottenstreich (2004) and Mukherjee (2010) posit that System-1 processing is strongly risk-averse, while System-2 processing is less so—such that weakening the influence of System 2 should increase risk aversion.”
BackgroundThe urge to splurge: Differentiating unplanned and impulse purchases
Morozova, N., & Vlaev, I. (2024) · International Journal of Market Research · doi:10.1177/14707853241229671 · Cited by 18
A Dual Process Evaluability Framework for decision anomalies
Schneider, M., & Coulter, R. A. (2015) · Journal of Economic Psychology · doi:10.1016/j.joep.2015.09.005 · Cited by 12
Brion, M., Dormal, V., Lannoy, S., Mertens, S., de Timary, P., & Maurage, P. (2018) · Journal of Clinical and Experimental Neuropsychology · doi:10.1080/13803395.2018.1438371 · Cited by 12
“…Alcohol-related disorders; attentional bias; dual-process model; inhibition Dual-process models (Bechara, 2005; Bechara & Damasio, 2005; Mukherjee, 2010; Noël, Bechara, Brevers, Verbanck, & Campanella, 2010; Wiers et al., 2007), which are currently the dominant models in addictive…”
The impact of top-down factors on threat perception biases in health and anxiety
Sussman, T. J., Jin, J., & Mohanty, A. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-816660-4.00010-6 · Cited by 11
Lacey, H. P., Lacey, S. C., Scherer, L. D., & Zikmund‐Fisher, B. J. (2020) · Journal of Behavioral Decision Making · doi:10.1002/bdm.2194 · Cited by 12
“…to overlook probability information is often treated as a direct consequence of emotion though some models more explicitly emphasize the complex interaction of the analytical and emotional processing without assuming such a trade-off (Loewenstein, O'Donoghue, & Bhatia, 2015; Mukherjee, 2010).”
BackgroundSchluter, M. G., & Hodgins, D. C. (2021) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2021.758329 · Cited by 13
“Rather, these risk preferences may be strongly affect-driven (Mukherjee, 2010).”
BackgroundAttention biases the process of risky decision‐making: Evidence from eye‐tracking
Hu, M., Chang, R., Sui, X., & Gao, M. (2023) · PsyCh Journal · doi:10.1002/pchj.724 · Cited by 11
“Heuristic decision-making simplifies the choice process and induces more irrational behavior, while the engagement of analytical decision-making leads to more rational choices (Cui et al., 2022; Mukherjee, 2010; Roberts et al., 2021; Su et al., 2013).”
BackgroundPerson-by-person prediction of intuitive economic choice
Mengov, G. (2014) · Neural Networks · doi:10.1016/j.neunet.2014.09.002 · Cited by 10
“Recent reviews on the subject can be found in (Alós- Ferrer & Strack, 2014; Brocas & Carrillo, 2014; Dayan, 2009), while some of the recent modelling advances constitute (Andersen , Harrison, Lau, & Rutström, 2014; Fudenberg & Levine, 2006; Fudenberg, Levine, & Maniadis, 2014; Mukherjee, 2010).”
BackgroundOrquin, J. L., Christensen, J. D., & Lagerkvist, C. J. (2020) · Judgment and Decision Making · doi:10.1017/s1930297500008214 · Cited by 10
“The dual systems model (Mukherjee, 2010) predicts that low levels of blood glucose change the balance between two mental systems in favor of a more intuitive and risk averse system, and hence that low blood glucose increases risk aversion (we note that there are exceptions to this prediction,…”
BackgroundInfluentialInstrumental Substance Use Among Youth with Rheumatic Disease—A Biopsychosocial Model
Kossowsky, J., & Weitzman, E. R. (2021) · Rheumatic Disease Clinics of North America · doi:10.1016/j.rdc.2021.08.003 · Cited by 10
Accelerated Neurocomputation in Human Decision‐Making Under Time Pressure
Li, S., Liu, S., Lu, Y., Liu, S., Li, L., Liu, Z., & Guo, X. (2024) · Psychophysiology · doi:10.1111/psyp.14749 · Cited by 9
“Conversely, the reflective system requires deliberate efforts, operates analytically, and is influenced by factors such as consciousness, reason, and computation (Chaiken and Trope 1999; Kahneman and Shane 2002; Mukherjee 2010).”
Affect Intensity and Risk Preference in Life-Saving Decisions
Zhang, Y., Chen, Z. J., Luan, M., & Li, H. (2016) · Basic and Applied Social Psychology · doi:10.1080/01973533.2015.1137474 · Cited by 9
“Decision making is influenced by both intuition and deliberation to some varying extent, depending on an individual’s thinking habits, the affective nature of the outcomes, and the task construal (Mukherjee, 2010).”
BackgroundModeling the instinctive-emotional-thoughtful mind
Levine, D. S. (2017) · Cognitive Systems Research · doi:10.1016/j.cogsys.2017.05.002 · Cited by 14
“Mukherjee (2010) described the two processes of cognitive-experiential theory as follows: Fuzzy traces, categories, and selective attention Some neural network researchers have made statements about how to choose between competing models of the same datasets.”
BackgroundWyszynski, M., & Diederich, A. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2023.1086699 · Cited by 10
“One system, generically called “System 1,” includes fast and intuitive processes, whereas the other system, often called “System 2,” is described in terms of slow and deliberative processing (see e.g., Chaiken and Trope, 1999; Stanovich and West, 2000; Evans, 2008; Mukherjee, 2010; Guo et al., 2017; Roberts et al., 20…”
BackgroundMethodBrion, M., Pitel, A., & D’Hondt, F. (2016) · Frontiers in Psychology · doi:10.3389/fpsyg.2016.00168 · Cited by 9
“…in Psychology | www.frontiersin.org 1 February 2016 | Volume 7 | Article 168 a well-validated conception in the addiction field (Bechara, 2005; Bechara and Damasio, 2005; Mukherjee, 2010; Noël et al., 2010), might constitute a reliable theoretical background to address this shortcoming.”
Background
Metadata
- Authors
- Mukherjee, K.
- Affiliations
- INSEAD (SG)
- Corresponding author
- Mukherjee, Kanchan
- Venue
- Psychological Review
- Published
- 2010
- Volume
- 117
- Issue
- 1
- Pages
- 243-255
- ISSN
- 0033-295X (ISSN-L)
- 1939-1471
- OpenAlex
- W1996734429
- Cited by
- 198
- References
- 104
- Citations by year
- 2026: 7 · 2025: 13 · 2024: 12 · 2023: 21 · 2022: 10 · 2021: 11 · 2020: 21 · 2019: 8 · 2018: 7 · 2017: 17 · 2016: 12 · 2015: 22 · 2014: 11 · 2013: 11 · 2012: 10
- FWCI
- 6.03
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Psychological Review (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Centre for Decision Making and Risk Analysis
- INSEAD
- Topics
- Social Sciences › Decision Sciences › General Decision Sciences › Decision-Making and Behavioral Economics
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Experimental Behavioral Economics Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Keywords
- dual-process models, decision making under risk, decision making under uncertainty, dual-process theory, ambiguity aversion, common ratio effect, isolation effect, preference elicitation
- MeSH terms
- Affect, Attitude, Choice Behavior, Decision Making, Humans, Models, Psychological, Risk-Taking
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