The DOI matches its Crossref record; 103 of the 104 references it cites were found in a registry or an index.
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.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“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]
Citations
Cites
Prospect theory: An analysis of decision under risk
Kahneman, D. J., & Tversky, A. (1988) · Cambridge University Press eBooks · doi:10.1017/cbo9780511609220.014 · Cited by 32,720
Theory of games and economic behavior
Garcia, S. R., & Miller, S. J. (2019) · American Mathematical Society eBooks · doi:10.1090/mbk/121/32 · Cited by 16,777
Advances in prospect theory: Cumulative representation of uncertainty
Tversky, A., & Kahneman, D. (1992) · Journal of Risk and Uncertainty · doi:10.1007/bf00122574 · Cited by 15,467
(1994) · DigitalGeorgetown (Georgetown University Library) · Cited by 10,542
“Risk, Ambiguity, and the Savage Axioms.”
Ellsberg, D. (1961) · The Quarterly Journal of Economics · doi:10.2307/1884324 · Cited by 7,891
Anderson, N. H. (2001) · Psychology Press eBooks · doi:10.4324/9781410600004-24 · Cited by 6,939
(1999) · Cited by 6,104
Loewenstein, G. F., Weber, E. U., Hsee, C. K., & Welch, N. (2001) · Psychological Bulletin · doi:10.1037/0033-2909.127.2.267 · Cited by 5,955
Kahneman, D. J., & Tversky, A. (2013) · World Scientific handbook in financial economic series · doi:10.1142/9789814417358_0016 · Cited by 5,379
Maps of Bounded Rationality: Psychology for Behavioral Economics
Kahneman, D. (2003) · American Economic Review · doi:10.1257/000282803322655392 · Cited by 5,377
Cited by
Sorted by citations
Items 101–199 of 199
Threshold analysis in the presence of both the diagnostic and the therapeutic risk
Felder, S., & Mayrhofer, T. (2017) · The European Journal of Health Economics · doi:10.1007/s10198-017-0951-1 · Cited by 9
“Non-EUT models such as regret-based threshold models [8, 18], hybrid models [6, 7], and dual processing threshold models [19, 20] have been proposed to be more in line with actual behavior.”
BackgroundEfficiency: an underlying principle of learning?
Commins, S. (2017) · Reviews in the Neurosciences · doi:10.1515/revneuro-2017-0050 · Cited by 11
“Such purposeful actions are similar to those included in many of the dual-processing models, particularly those that concern decision-making processes, where comparisons are made between a fast, intuitive and affect-dependent system, and another that is more analytical, slow and logical (Evans, 2007; Mukherjee, 2010;…”
BackgroundHan, Y., Gao, F., Wang, X., Xia, J., Du, H., Liu, X., Cai, S., Tan, C., Fan, J., & Zhu, X. (2023) · Journal of Affective Disorders · doi:10.1016/j.jad.2023.10.099 · Cited by 9
A Dynamic Dual Process Model of Intertemporal Choice
Diederich, A., & Zhao, W. J. (2019) · The Spanish Journal of Psychology · doi:10.1017/sjp.2019.53 · Cited by 8
“Because almost all dual process theories are verbal descriptions of the two systems and their interaction (exceptions include Mukherjee, 2010; Loewenstein et al., 2015), often with vague assumptions, these theories often fail to make any testable predictions, neither quantitatively nor…”
BackgroundA Dynamic Dual Process Model for Binary Choices: Serial Versus Parallel Architecture
Diederich, A. (2023) · Computational Brain & Behavior · doi:10.1007/s42113-023-00186-1 · Cited by 8
“With a few exceptions (e.g., Brocas & Carrillo, 2014; Fudenberg & Levine, 2006; Klauer et al., 2010; Loewenstein et al., 2015; Mukherjee, 2010), though none of them dynamic, dual process models are only verbal descriptions of the systems and their interaction is not made explicit.”
Zhang, Y., Chen, Z. J., & Li, H. (2017) · Journal of Experimental Social Psychology · doi:10.1016/j.jesp.2017.06.006 · Cited by 8
Dual-process modeling of sequential decision making in the balloon analogue risk task
Zhou, R., & Pitt, M. A. (2024) · Cognitive Psychology · doi:10.1016/j.cogpsych.2023.101629 · Cited by 9
The Common Ratio Effect in Choice, Pricing, and Happiness Tasks
Schneider, M., & Shor, M. (2017) · Journal of Behavioral Decision Making · doi:10.1002/bdm.2017 · Cited by 9
Sundh, J., Collsiöö, A., Millroth, P., & Juslin, P. (2020) · Psychonomic Bulletin & Review · doi:10.3758/s13423-020-01805-9 · Cited by 7
“12 Due to the vastness of the dual-systems literature, we have chosen a select number of clear-cut comparisons—future research will have to expand this discussion further by incorporating also other conceptualizations (e.g., Mukherjee, 2010; Tenenbaum & Griffiths, 2001).”
Method“What Did I Tell This Sad Person?”: Memory for Emotional Destinations in Korsakoff’s Syndrome
Haj, M. E., Ndobo, A., Moustafa, A. A., & Allain, P. (2023) · Journal of Clinical Medicine · doi:10.3390/jcm12051919 · Cited by 7
“The difficulties of patients with KS to process emotional, especially negative, information can be interpreted in light of the dual-process model [69,70], which proposes that adapted human behaviors are typically based on the interaction between two cerebral systems: (a) the “reflective system”, a controlled system un…”
BackgroundAppetitive and impulsive: Examining alcohol use via the motivational and self-control systems
Rubenking, B. E., & Lang, A. (2014) · The Social Science Journal · doi:10.1016/j.soscij.2014.12.001 · Cited by 8
“Dual process models of addictive behaviors etiology generally find problem use to be the outcome of more automatic, impulsive, appetitive processes, and less controlled, reflective processes (Cox & Klinger, 1988, 2011; Mukherjee, 2010; Stacey, Newcomb, & Bentler, 1993; Wiers & Stacy, 2006; Wiers et al., 2007).”
BackgroundInfluentialLau, C. I., Chen, W., Wang, H., & Walsh, V. (2023) · Headache The Journal of Head and Face Pain · doi:10.1111/head.14513 · Cited by 6
Shikishima, C., Hiraishi, K., Yamagata, S., Ando, J., & Okada, M. (2015) · Frontiers in Psychology · doi:10.3389/fpsyg.2015.01712 · Cited by 9
Neural Network Models of Human Executive Function and Decision Making
Levine, D. S. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-803676-1.00005-2 · Cited by 9
Xiu-ping, Y., Jia, Y., Zhang, D., Zhang, X., Hua, Z., & Hou, Y. (2020) · Environmental Science and Pollution Research · doi:10.1007/s11356-020-09059-7 · Cited by 6
“Through the dual-system model of stakeholders self-control (Tomáš et al. 2017; Mukherjee 2010), the behavior of excessive tourism environment resources can be monitored.”
MethodEffectiveness of nudges on small business tax compliance behavior
Leets, L., Sprenger, A. M., Hartman, R. O., Kohn, N. W., Thomas, J. S., Vu, C., Aguirre, S., & Wijesinghe, S. (2020) · Journal of Behavioral Public Administration · doi:10.30636/jbpa.32.141 · Cited by 6
“ontemporary theories of population-wide behavior change emphasize two major influence pathways or strategies (Barrett, Tugade, & Engle, 2004; Chaiken & Trope, 1999; Evans, 2008; Mukherjee, 2010; Kahneman, 2011; Frederick, 2005; Petty & Cacioppo, 1986).”
Dynamic risk attributes in Malaysia stock markets: Behavioural finance insights
Tuyon, J., & Ahmad, Z. (2020) · International Journal of Finance & Economics · doi:10.1002/ijfe.2094 · Cited by 8
Theoretical Models of Health Behavior
McDowell, I. (2023) · Springer eBooks · doi:10.1007/978-3-031-28986-6_6 · Cited by 7
Mayiwar, L., Hærem, T., & Furnham, A. F. (2023) · Personality and Individual Differences · doi:10.1016/j.paid.2023.112383 · Cited by 5
An attentional theory of emotional influences on risky decisions
Levine, D. S., & Ramirez, P. A. (2013) · Progress in brain research · doi:10.1016/b978-0-444-62604-2.00019-8 · Cited by 6
Why bother with the brain? A role for decision neuroscience in understanding strategic variability
Venkatraman, V. (2013) · Progress in brain research · doi:10.1016/b978-0-444-62604-2.00015-0 · Cited by 6
“Each of these phases is complementary in nature, with several people still emphasizing formal modeling of decision behavior (Glockner and Betsch, 2008) as well as emphasizing the tradeoff between cognition and emotion in the same model of risk preference (Mukherjee, 2010).”
BackgroundYan, L., Karamchandani, K., Gaiser, R. R., & Carr, Z. J. (2023) · Anesthesia & Analgesia · doi:10.1213/ane.0000000000006666 · Cited by 5
Bedía, M. G., & Paolo, E. A. D. (2012) · Frontiers in Psychology · doi:10.3389/fpsyg.2012.00384 · Cited by 5
“For the case of dual systems, the expected value associated to each possible decision is a combination of the values assigned to it independently by the System 1 and System 2 (Mukherjee, 2010).”
MethodModeling Choice Paradoxes Under Risk: From Prospect Theories to Sampling-Based AccountsPreprint
Kellen, D., Steiner, M. D., Davis‐Stober, C. P., & Pappas, N. J. (2019) · PsyArXiv (OSF Preprints) · doi:10.31234/osf.io/qvcbk · Cited by 6
Bell, J., Jurgenson, J. B., & Warmath, D. (2024) · Journal of Consumer Behaviour · doi:10.1002/cb.2437 · Cited by 6
(Dis)satisfaction with risk preferences
Thunström, L., Mannberg, A., Gilbert, B., & Loewenstein, G. F. (2025) · Journal of Risk and Uncertainty · doi:10.1007/s11166-025-09449-7 · Cited by 5
“For instance, Mukherjee (2010) proposes a dual process model specifically for decision making under risk and uncertainty.”
Open-office noise and information processing
Mayiwar, L., & Hærem, T. (2023) · Journal of Managerial Psychology · doi:10.1108/jmp-03-2023-0140 · Cited by 4
Effects of different feedback types on information integration in repeated monetary gambles
Haffke, P., & bner, R. H. ⁄. (2015) · Frontiers in Psychology · doi:10.3389/fpsyg.2014.01597 · Cited by 6
“For instance, it is conceivable that automatic and controlled processes compete in a race, as assumed by dual-process models (e.g., Hübner et al., 2010; Mukherjee, 2010).”
BackgroundA Dual-process Model of Framing Effects in Risky Choice.
Guo, L., Trueblood, J. S., & Diederich, A. (2015) · eScholarship (California Digital Library) · Cited by 4
Neuroeconomics Insights for Decision Analysis
Hytönen, K., & Sanfey, A. G. (2011) · Wiley eBooks · doi:10.1002/9780470400531.eorms0567 · Cited by 4
“Behavioral research suggests that, increasing the emotional salience of the choice situation strengthens nonlinearities in the valuation process [40] which leads to further deviations from risk neutrality [41], thereby strengthening the framing effects.”
BackgroundDistributional dual-process model predicts strategic shifts in decision-making under uncertainty
Hu, M., Don, H. J., & Worthy, D. A. (2025) · Communications Psychology · doi:10.1038/s44271-025-00249-y · Cited by 4
Zhao, J., Li, Q. L., Yang, W., & Zheng, Y. (2025) · Biological Psychology · doi:10.1016/j.biopsycho.2025.109025 · Cited by 3
Eating Dogfood: Examining the Relative Roles of Reason and Emotion
Schulze, W. D., Maertens, A., & Wansink, B. C. (2012) · Journal of Economic Behavior & Organization · doi:10.1016/j.jebo.2013.06.004 · Cited by 3
Anger, Hostility, and Aggression in Severe Alcohol Use Disorder
Gautier, M., Pabst, A., & Maurage, P. (2023) · Springer eBooks · doi:10.1007/978-3-031-31547-3_48 · Cited by 3
Lessons from Neuroscience and Experimental Psychology for a Partnership Society
Levine, D. S. (2015) · Interdisciplinary Journal of Partnership Studies · doi:10.24926/ijps.v2i2.111 · Cited by 3
“While the mapping between models and data is still less precise, though, a few investigators are starting to build mathematical models of economic behavior that incorporate emotions as well as reason (e.g., Grossberg, 2013; Grossberg & Gutowski, 1987; Levine, 2012; Mengov, 2014; Mukherjee, 2010) and cooperation as wel…”
Risk as Challenge: A Dual System Stochastic Model for Binary Choice Behavior
Shye, S., & Haber, I. (2020) · Applied Economics and Finance · doi:10.11114/aef.v7i2.4714 · Cited by 6
UNSTABLE DYNAMICS OF ADAPTATION IN UNKNOWN ENVIRONMENT DUE TO NOVELTY SEEKING
Zgonnikov, A., & Lubashevsky, I. (2014) · Advances in Complex Systems · doi:10.1142/s0219525914500131 · Cited by 4
“at deal of studies examine the relative impact of these two channels on decision making (see [11, 38] for a review) and, more recently, provide computational dual-system decision-making models (e.g., [24, 36]). Here we focus on applying the body of knowledge previously elaborated within the dual-system theory to devel…”
BackgroundMethodState dependent price setting rules under implicit thresholds: An experiment
LeBlanc, J. D., Civelli, A., DECK, C. A., & Bregu, K. (2016) · Journal of Economic Dynamics and Control · doi:10.1016/j.jedc.2016.04.004 · Cited by 3
“That is — real, explicit costs 1Similar models have also been developed by Fudenberg and Levine (2006) and Mukherjee (2010).”
A Dynamic Dual-Process Model of Decision-making Under Uncertainty
Trueblood, J. S. (2013) · eScholarship (California Digital Library) · Cited by 3
When the going gets tough: Power affects the process of making tough decisions
Li, X., Chen, C., Zhou, X., & Ding, D. (2021) · The Journal of Social Psychology · doi:10.1080/00224545.2021.1874258 · Cited by 3
“Research on decision making has found that cognitive load interferes with the evaluation of choices and hence leads to poorer decisions (Hinson et al., 2003; Mukherjee, 2010; Zimmerman & Shimoga, 2014).”
BackgroundThe Role of Education in Native Dutch Adolescents’ Muslim Population Size Perceptions
Mulders, A. M., & van Tubergen, F. (2022) · Journal of International Migration and Integration / Revue de l integration et de la migration internationale · doi:10.1007/s12134-022-00995-6 · Cited by 3
“Risk is a combination of the perceived negative and positive impact of an event (Slovic et al., 2004), as well as the perceived probability that the risk will occur (Mukherjee, 2010).”
BackgroundINDIVIDUAL DIFFERENCES & INSTANCE BASED DECISION MAKING: PUTTING "BOUNDED RATIONALITY" TO THE TEST
Papaeconomou, P. (2012) · ERA · Cited by 3
Fear and Trust: How Risk Perceptions of Avian Influenza Affect the Demand for ChickenPreprint
Zhou, L., Turvey, C. G., Hu, W., & Rui-yao, Y. (2015) · RePEc: Research Papers in Economics · doi:10.13140/rg.2.1.1412.8083 · Cited by 3
“Recent models in psychology based on this dual process in a utility framework (Kahneman, 2011; Schulze and Wansink, 2012; Loewenstein and O‟Donoghue, 2004; Mukherjee, 2010) could possibly add clarity to the complex interactions of food safety, and risk perceptions.”
BackgroundDual Process Utility Theory: A Model of Decisions Under Risk and Over TimePreprint
Schneider, M. (2016) · RePEc: Research Papers in Economics · Cited by 3
Cabé, N., Segobin, S. H., Boudehent, C., Lanièpce, A., & Pitel, A. (2025) · Behavioural Brain Research · doi:10.1016/j.bbr.2025.115452 · Cited by 2
Crawford, E. C., & Thomas, L. E. (2025) · Journal of Health Communication · doi:10.1080/10810730.2025.2535384 · Cited by 2
“This dual system approach has been preferred in contexts where a decision involves perceived risk, such as vaccination (Mukherjee, 2010).”
Lannoy, S., Bjork, J. M., Stephenson, M. E., Sanchez‐Roige, S., Passero, K., & Edwards, A. C. (2026) · Translational Psychiatry · doi:10.1038/s41398-026-03826-9 · Cited by 2
“Research asserts that decision-making cannot be de fi ned as a unitary concept but rather results from the interaction between different brain systems involved in rule-based (executive functions) and affective-based (reward processing, delay discounting) processes [15 – 17].”
Yang, M. M.-H. (2026) · Human Resource Management Journal · doi:10.1111/1748-8583.70044 · Cited by 4
Wang, M., Gong, S., Bai, L., Liang, L., Weng, Z., & Tang, J. (2023) · Risk Analysis · doi:10.1111/risa.14208 · Cited by 2
Leets, L., Cahill, J. E., Sprenger, A. M., Thomas, J. S., Hartman, R., Reed, M. E. P., Manning, H., Britt, M., Vu, C., Kohn, N. W., et al. (2020) · Journal of Patient Experience · doi:10.1177/2374373520968976 · Cited by 2
Disgust selectively dampens value-independent risk-taking for potential gains
Tong, Y., Sun, J., Wright, N. D., & Li, J. (2020) · Cognition · doi:10.1016/j.cognition.2020.104266 · Cited by 3
Bravo, E., & Ostos, J. (2023) · Information Resources Management Journal · doi:10.4018/irmj.325241 · Cited by 2
“Therefore, these preferences may influence the relative weight of each type of processing in determining behavior (Betsch, 2008, p. 231; Epstein et al., 1996; Evans, 2019; Mukherjee, 2010, p. 246).”
The persistence of common-ratio effects in multiple-play decisions
DeKay, M. L., Schley, D. R., Miller, S. A., Erford, B. M., Sun, J., Karim, M. N., & Lanyon, M. B. (2016) · Judgment and Decision Making · doi:10.1017/s193029750000379x · Cited by 2
Guo, P. (2017) · SSRN Electronic Journal · doi:10.2139/ssrn.3073726 · Cited by 2
How Categorization Shapes the Probability Weighting FunctionPreprint
Schley, D. R., Ferecatu, A., Chan, H., & Gunadi, M. P. (2021) · SSRN Electronic Journal · doi:10.2139/ssrn.3959751 · Cited by 3
“…the ubiquitous inverse S-shape was the result of categorical distinctions between 0, 1, and the probabilities in between (Kahneman and Tversky 1979, Tversky and Kahneman 1992, Wu and Gonzalez 1996, Camerer and Ho 1994, Gonzalez and Wu 1999, Brandstätter et al. 2002, Prelec 1998, Mukherjee 2010).”
BackgroundZhou, L., Wen, H., Chen, S., Liu, G., & Zheng, Y. (2025) · Personality and Individual Differences · doi:10.1016/j.paid.2025.113492 · Cited by 1
Kinta, Y., Iemoto, N., & Takahashi, N. (2025) · Journal of Sensory Studies · doi:10.1111/joss.70087 · Cited by 1
Kim, J., Kim, U., Bae, J. K., Kim, M., Ham, J. Y., Lim, J., Kim, J. H., Seo, S., Kang, S., Park, S., et al. (2025) · BMC Health Services Research · doi:10.1186/s12913-025-13668-8 · Cited by 2
“…theory” of human cognition could explain this phenomenon by providing a framework for understanding the operational mechanisms of current LLMs: System 1 is fast, intuitive, and optimized for pattern-based cognition, while System 2 is slow and optimized for complex logical analysis [18–20].”
The impact of information type on AI threat perception: evidence from AI unemployment scenarios
Wu, J., Zhang, Y., Wanglong, J. I. N., Feng, Y. U., & Xu, L. (2026) · Current Psychology · doi:10.1007/s12144-025-08989-0 · Cited by 1
“Such biases typically manifest as over-or underestimation of probabili - ties, selective attention to salient yet incomplete informa - tion, and a tendency to simplify or average complex data rather than integrate it comprehensively (Mukherjee, 2010; Tversky & Kahneman, 1974 ).”
The Effect of Depression in Decision Making Process : Based on Quantitative Methodology
Kim, S. Y., Huh, H. J., & Chae, J. (2015) · 신경정신의학 · doi:10.4306/jknpa.2015.54.3.282 · Cited by 1
(2022) · Quality - Access to Success · doi:10.47750/qas/23.190.43 · Cited by 1
The Role of the Reward Recognition Network in Understanding Motivation
Wasserman, T. H., & Wasserman, L. D. (2020) · Springer eBooks · doi:10.1007/978-3-030-58724-6_4 · Cited by 1
Berger, L., Guo, L., & Presslee, A. (2018) · SSRN Electronic Journal · doi:10.2139/ssrn.3102576 · Cited by 1
Risk as Challenge: A Dual System Stochastic Model for Binary Choice BehaviorPreprint
Shye, S., & Haber, I. (2019) · doi:10.31234/osf.io/y5rzu · Cited by 1
Liu, C., Lei, H., Lan, J., Li, F., & Liu, Y. (2023) · Research Square · doi:10.21203/rs.3.rs-2891690/v1 · Cited by 1
A Risk Analysis Of Farmers In Mexico: Prices, Risk Rationing And Conflict
Chiu, L. J. V. (2013) · eCommons (Cornell University)
O’Hare, A. J. (2010) · KU ScholarWorks (The University of Kansas)
An analysis of decision making and criminal outcomes in sexual offenders
Pedneault, A. (2015) · Summit (Simon Fraser University)
Using Verbal Probability to Measure Uncertainty:Features and Problems
Du, X., Jie-Hong, X., Yin, S., & Li, S. (2013) · Advances in Psychological Science · doi:10.3724/sp.j.1042.2012.00651
Cognitive Determinants in Patient Decision Making for Total Knee Arthroplasty
Schryver, J. C. (2014) · doi:10.2172/1157122
“Mukherjee developed a mathematical model that aggregates System 1 and 2 processes into a single decision rule [15].”
BackgroundTechnology with Embodied Physical Actions
You, S. (2017) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3027063.3027122
Troubles cognitifs dans l’alcoolo-dépendance
Maurage, P., & D’Hondt, F. (2017) · doi:10.1016/b978-2-294-75006-9.00017-3
Examining Student Severe Weather Behavior During a Hypothetical Tornado Scenario
Leavitt, C. M. (2014)
The Role of the Reward Recognition Network in Therapy
Wasserman, T. H., & Wasserman, L. D. (2019) · Springer eBooks · doi:10.1007/978-3-030-26921-0_8
Risk perception in an endogenous information environment
Tsang, M. (2022) · Research in Economics · doi:10.1016/j.rie.2022.09.003
Framing Effects in Older Adults’ Medical Decision-Making: Social Distance Matters
Chen, Y., Xu, J., & Xing, C. (2022) · The Journals of Gerontology Series B · doi:10.1093/geronb/gbac152
Anger, Hostility, and Aggression in Severe Alcohol Use Disorder
Gautier, M., Pabst, A., & Maurage, P. (2022) · Springer eBooks · doi:10.1007/978-3-030-98711-4_48-1
Christensen, J. D. (2023) · Acta universitatis agriculturae Sueciae · doi:10.54612/a.7etj27hhft
Troubles cognitifs dans le trouble sévère de l’usage d’alcool
Maurage, P., & D’Hondt, F. (2023) · Elsevier eBooks · doi:10.1016/b978-2-294-78309-8.00023-9
The Importance of Understanding Thinking
Steele, R. (2023) · Palgrave Studies in Risk, Crime and Society · doi:10.1007/978-3-031-46231-3_4
Current status and future prospective of breast cancer immunotherapy
Rathore, A. S., Chirmule, N. B., Dash, R., & Chowdhury, A. (2024) · Advances in protein chemistry and structural biology · doi:10.1016/bs.apcsb.2023.12.006
Diversidad en el neurodesarrollo
Leo-Jimenez, J. O. D., Rodríguez-Santillán, E., Valenzuela, C. C. C., Gomar, M. L. G., Alameda, A. J. C., Cortés, A. N., Moreno, M. B., Macedo, Z. B. N., Martínez, F. G., Carrillo, M. C., et al. (2024) · doi:10.52501/cc.143
Die Rolle des Belohnungserkennungsnetzwerks beim Verständnis von Motivation
Wasserman, T. H., & Wasserman, L. D. (2024) · Springer eBooks · doi:10.1007/978-3-031-48004-1_4
Duan, M. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4848755
When to Observe or Act? Interpretable and Causal Recommendations in Time-Sensitive Dilemmas
Odell, A. M., Forney, A., Raglin, A. J., Basak, S., & Khooshabeh, P. (2024) · Communications in computer and information science · doi:10.1007/978-3-031-62110-9_11
Attention and the Role of the Reward Recognition Network
Wasserman, T. H., & Wasserman, L. D. (2024) · Springer eBooks · doi:10.1007/978-3-031-78732-4_8
Development and Validation of the Calculated and Spontaneous Risk‐Taking Scale (CASPRT)
Zhang, D. C., & Smith, R. W. (2025) · Journal of Behavioral Decision Making · doi:10.1002/bdm.70020
Reward Taxation, Reward Type, and Employee Effort
Bauer, T. D., Deore, A., Presslee, A., & Shaw, J. (2025) · The Accounting Review · doi:10.2308/tar-2023-0450
Anticipating Risky Decision-Making Styles in Gender Murderers
Peymannia, B., Beshlideh, K., & Khodadadeh, F. (2025) · international journal high risk behaviors & addiction · doi:10.5812/ijhrba-140457
Testing a Dynamic Dual-Process Model of Intertemporal Choice: Serial and Quasi-Parallel Processing
Diederich, A. (2025) · Studies in neuroscience, psychology and behavioral economics · doi:10.1007/978-3-032-00880-0_8
Why Medical Informatics (still) Needs Cognitive and Social Sciences
Declerck, G., & Aimé, X. (2013) · Yearbook of Medical Informatics · doi:10.1055/s-0038-1638837
“The authors make use of Mukherjee’s Dual System Model [38] (based on Daniel Kahneman’s dual processing theory of cognition [39]) to model the cognitive process of deciding whether treatment should be administered in situations where diagnosis is not fully decided (the patient may or may not have a disease).”
MethodLi, L., Peng, X., & Bretthauer, K. M. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5932484
Constrained Causal Decision Dilemmas
Odell, A. M., Forney, A., Raglin, A. J., Basak, A., & Khooshabeh, P. (2026) · Lecture notes in computer science · doi:10.1007/978-3-032-13184-3_15
Sheffer, C. E., Proctor, M., Foinquinos, V., Lemos, R. F., Bickel, W. K., & Fields, S. A. (2026) · doi:10.2196/preprints.92201
Fu, H., Ma, X., Tan, Y., Xia, Z., & Guo, X. (2026) · Engineering Construction & Architectural Management · doi:10.1108/ecam-12-2024-1782
Sheffer, C. E., Proctor, M., Foinquinos, V., Lemos, R. F., Bickel, W. K., & Fields, S. A. (2026) · JMIR Research Protocols · doi:10.2196/92201
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review