Decision making and mental imagery: A conceptual synthesis and new research directions

References

• Abraham, A. (2016). The imaginative mind. Human Brain Mapping, 37(11), 4197–4211. https://doi.org/10.1002/hbm.23300
   PubMed Web of Science ®Google Scholar
• Addis, D. R., Wong, A. T., & Schacter, D. L. (2007). Remembering the past and imagining the future: Common and distinct neural substrates during event construction and elaboration. Neuropsychologia, 45(7), 1363–1377. https://doi.org/10.1016/j.neuropsychologia.2006.10.016
   PubMed Web of Science ®Google Scholar
• Aleman, A., Formisano, E., Koppenhagen, H., Hagoort, P., de Haan, E. H. F., & Kahn, R. S. (2005). The functional neuroanatomy of metrical stress evaluation of perceived and imagined spoken words. Cerebral Cortex, 15(2), 221–228. https://doi.org/10.1093/cercor/bhh124
   PubMed Web of Science ®Google Scholar
• Amedi, A., Malach, R., & Pascual-Leone, A. (2005). Negative BOLD differentiates visual imagery and perception. Neuron, 48(5), 859–872. https://doi.org/10.1016/j.neuron.2005.10.032
   PubMed Web of Science ®Google Scholar
• Amit, E., & Greene, J. D. (2012). You see, the ends don’t justify the means. Psychological Science, 23(8), 861–868. https://doi.org/10.1177/0956797611434965
   PubMed Web of Science ®Google Scholar
• Anderson, I. M., Haddad, P. M., & Scott, J. (2012). Bipolar disorder. BMJ, 345, e8508. https://doi.org/10.1136/bmj.e8508
   PubMed Web of Science ®Google Scholar
• Atance, C. M., & O’Neill, D. K. (2001). Episodic future thinking. Trends in Cognitive Sciences, 5(12), 533–539. https://doi.org/10.1016/S1364-6613(00)01804-0
   PubMed Web of Science ®Google Scholar
• Bagozzi, R. (2008). Some insights on visual and verbal processing strategies. Journal of Consumer Psychology, 18(4), 258–263. https://doi.org/10.1016/j.jcps.2008.09.003
   Web of Science ®Google Scholar
• Baron, J. (2008). Thinking and deciding (4th ed.). Cambridge University Press.
   Google Scholar
• Barsics, C., Van der Linden, M., & D’Argembeau, A. (2016). Frequency, characteristics, and perceived functions of emotional future thinking in daily life. Quarterly Journal of Experimental Psychology, 69(2), 217–233. https://doi.org/10.1080/17470218.2015.1051560
   PubMed Web of Science ®Google Scholar
• Bartolomeo, P., Hajhajate, D., Liu, J., & Spagna, A. (2020). Assessing the causal role of early visual areas in visual mental imagery. Nature Reviews Neuroscience, 21(9), 517. https://doi.org/10.1038/s41583-020-0348-5
   PubMed Web of Science ®Google Scholar
• Baum, J. R., Locke, E. A., & Kirkpatrick, S. A. (1998). A longitudinal study of the relation of vision and vision communication to venture growth in entrepreneurial firms. Journal of Applied Psychology, 83(1), 43–54. https://doi.org/10.1037/0021-9010.83.1.43
   Web of Science ®Google Scholar
• Baumeister, R. F., Vohs, K. D., Nathan DeWall, C., & Zhang, L. (2007). How emotion shapes behavior: Feedback, anticipation, and reflection, rather than direct causation. Personality and Social Psychology Review, 11(2), 167–203. https://doi.org/10.1177/1088868307301033
   PubMed Web of Science ®Google Scholar
• Beach, L. R. (1993). Image theory: An alternative to normative decision theory. ACR North American Advances, 20, 235–238.
   Google Scholar
• Beach, L. R. (2009). Decision making. Narrative Inquiry, 19(2), 393–414. https://doi.org/10.1075/ni.19.2.10bea
   Web of Science ®Google Scholar
• Beach, L. R. (2016). A new theory of mind: The theory of narrative thought. Cambridge Scholars Publishing.
   Google Scholar
• Beach, L. R. (2021). Scenarios as narratives. Futures & Foresight Science, 3(1), ffo2.58. https://doi.org/10.1002/ffo2.58
   Google Scholar
• Beach, L. R., & Lipshitz, R. (1993). Why classical decision theory is an inappropriate standard for evaluating and aiding most human decision making. In Decision making in action: Models and methods (pp. 21–35). Ablex Publishing.
   Google Scholar
• Beach, L. R., & Mitchell, T. R. (1987). Image theory: Principles, goals, and plans in decision making. Acta Psychologica, 66(3), 201–220. https://doi.org/10.1016/0001-6918(87)90034-5
   Web of Science ®Google Scholar
• Bechara, A., & Damasio, A. R. (2005). The somatic marker hypothesis: A neural theory of economic decision. Games and Economic Behavior, 52(2), 336–372. https://doi.org/10.1016/j.geb.2004.06.010
   Web of Science ®Google Scholar
• Belardinelli, M. O., Matteo, R. D., Gratta, C. D., Nicola, A. D., Ferretti, A., Tartaro, A., Bonomo, L., & Romani, G. L. (2004). Intermodal sensory image generation: An fMRI analysis. European Journal of Cognitive Psychology, 16(5), 729–752. https://doi.org/10.1080/09541440340000493
   Google Scholar
• Berns, G. S., Laibson, D., & Loewenstein, G. (2007). Intertemporal choice – toward an integrative framework. Trends in Cognitive Sciences, 11(11), 482–488. https://doi.org/10.1016/j.tics.2007.08.011
   PubMed Web of Science ®Google Scholar
• Berntsen, D. (2018). The dynamics of episodic memory functions. Behavioral and Brain Sciences, 41, e4. https://doi.org/10.1017/S0140525X17001261
   PubMed Web of Science ®Google Scholar
• Berntsen, D. (2019). Spontaneous future cognitions: An integrative review. Psychological Research, 83(4), 651–665. https://doi.org/10.1007/s00426-018-1127-z
   PubMed Web of Science ®Google Scholar
• Berntsen, D., & Jacobsen, A. S. (2008). Involuntary (spontaneous) mental time travel into the past and future. Consciousness and Cognition, 17(4), 1093–1104. https://doi.org/10.1016/j.concog.2008.03.001
   PubMed Web of Science ®Google Scholar
• Birnbaum, M. H., & Chavez, A. (1997). Tests of theories of decision making: Violations of branch independence and distribution independence. Organizational Behavior and Human Decision Processes, 71(2), 161–194. https://doi.org/10.1006/obhd.1997.2721
   Web of Science ®Google Scholar
• Bisson, J. I., Cosgrove, S., Lewis, C., & Roberts, N. P. (2015). Post-traumatic stress disorder. BMJ, 351, h6161. https://doi.org/10.1136/bmj.h6161
   PubMed Web of Science ®Google Scholar
• Blackwell, S. E. (2019). Mental imagery: From basic research to clinical practice. Journal of Psychotherapy Integration, 29(3), 235–247. https://doi.org/10.1037/int0000108
   Web of Science ®Google Scholar
• Blackwell, S. E. (2020). Emotional mental imagery. In A. Abraham (Ed.), The Cambridge handbook of the imagination (pp. 241–257). Cambridge University Press.
   Google Scholar
• Blackwell, S. E., Dooley, D., Würtz, F., Woud, M. L., & Margraf, J. (2020). Inducing positive involuntary mental imagery in everyday life: An experimental investigation. Memory (Hove, England), 28(9), 1157–1172. https://doi.org/10.1080/09658211.2020.1822413
   PubMed Web of Science ®Google Scholar
• Blais, A.-R., & Weber, E. U. (2006). A domain-specific risk-taking (DOSPERT) scale for adult populations. Judgment and Decision Making, 1(1), 33–47. https://doi.org/10.1017/S1930297500000334
   Web of Science ®Google Scholar
• Boyer, P. (2008). Evolutionary economics of mental time travel? Trends in Cognitive Sciences, 12(6), 219–224. https://doi.org/10.1016/j.tics.2008.03.003
   PubMed Web of Science ®Google Scholar
• Brandstätter, E., Gigerenzer, G., & Hertwig, R. (2006). The priority heuristic: Making choices without trade-offs. Psychological Review, 113(2), 409–432. https://doi.org/10.1037/0033-295X.113.2.409
   PubMed Web of Science ®Google Scholar
• Bulley, A. (2018). The history and future of human prospection. Evolutionary Studies in Imaginative Culture, 2(1), 75. https://doi.org/10.26613/esic.2.1.75
   Google Scholar
• Bulley, A., Miloyan, B., Pepper, G. V., Gullo, M. J., Henry, J. D., & Suddendorf, T. (2019). Cuing both positive and negative episodic foresight reduces delay discounting but does not affect risk-taking. Quarterly Journal of Experimental Psychology, 72(8), 1998–2017. https://doi.org/10.1177/1747021818819777
   Web of Science ®Google Scholar
• Bulley, A., Redshaw, J., & Suddendorf, T. (2020). The future-directed functions of the imagination: From prediction to metaforesight. In A. Abraham (Ed.), The Cambridge handbook of the imagination (pp. 425–444). Cambridge University Press. https://doi.org/10.1017/9781108580298.026
   Google Scholar
• Busemeyer, J., & Townsend, J. (1993). Decision field theory: A dynamic-cognitive approach to decision making in an uncertain environment. Psychological Review, 100(3), 432–459. https://doi.org/10.1037/0033-295X.100.3.432
   PubMed Web of Science ®Google Scholar
• Byrne, R. M. J. (2005). The rational imagination: How people create alternatives to reality. MIT Press.
   Google Scholar
• Byrne, R. M. J. (2016). Counterfactual thought. Annual Review of Psychology, 67(1), 135–157. https://doi.org/10.1146/annurev-psych-122414-033249
   PubMed Web of Science ®Google Scholar
• Campos, A., & Pérez-Fabello, M. J. (2009). Psychometric quality of a revised version vividness of visual imagery questionnaire. Perceptual and Motor Skills, 108(3), 798–802. https://doi.org/10.2466/pms.108.3.798-802
   PubMed Web of Science ®Google Scholar
• Caruso, E. M., & Gino, F. (2011). Blind ethics: Closing one’s eyes polarizes moral judgments and discourages dishonest behavior. Cognition, 118(2), 280–285. https://doi.org/10.1016/j.cognition.2010.11.008
   PubMed Web of Science ®Google Scholar
• Chong, K., & Tuckett, D. (2015). Constructing conviction through action and narrative: How money managers manage uncertainty and the consequence for financial market functioning. Socio-Economic Review, 13(2), 309–330. https://doi.org/10.1093/ser/mwu020
   Web of Science ®Google Scholar
• Cohn, M. A., & Fredrickson, B. L. (2010). In search of durable positive psychology interventions: Predictors and consequences of long-term positive behavior change. The Journal of Positive Psychology, 5(5), 355–366. https://doi.org/10.1080/17439760.2010.508883
   PubMed Web of Science ®Google Scholar
• Cohn, M. A., Fredrickson, B. L., Brown, S. L., Mikels, J. A., & Conway, A. M. (2009). Happiness unpacked: Positive emotions increase life satisfaction by building resilience. Emotion, 9(3), 361–368. https://doi.org/10.1037/a0015952
   PubMed Web of Science ®Google Scholar
• Cokely, E. T., Galesic, M., Schulz, E., Ghazal, S., & Garcia-Retamero, R. (2012). Measuring risk literacy: The Berlin numeracy test. Judgment and Decision Making, 7(1), 25–47. https://doi.org/10.1017/S1930297500001819
   Web of Science ®Google Scholar
• Cole, S. N., Staugaard, S. R., & Berntsen, D. (2016). Inducing involuntary and voluntary mental time travel using a laboratory paradigm. Memory & Cognition, 44(3), 376–389. https://doi.org/10.3758/s13421-015-0564-9
   PubMed Web of Science ®Google Scholar
• Crisp, R. J., Husnu, S., Meleady, R., Stathi, S., & Turner, R. N. (2010). From imagery to intention: A dual route model of imagined contact effects. European Review of Social Psychology, 21(1), 188–236. https://doi.org/10.1080/10463283.2010.543312
   Web of Science ®Google Scholar
• Cui, X., Jeter, C. B., Yang, D., Montague, P. R., & Eagleman, D. M. (2007). Vividness of mental imagery: Individual variability can be measured objectively. Vision Research, 47(4), 474–478. https://doi.org/10.1016/j.visres.2006.11.013
   PubMed Web of Science ®Google Scholar
• Damasio, A. R. (2005). Descartes’ error: Emotion, reason, and the human brain. Penguin.
   Google Scholar
• D’Argembeau, A., Raffard, S., & Van der Linden, M. (2008). Remembering the past and imagining the future in schizophrenia. Journal of Abnormal Psychology, 117(1), 247–251. https://doi.org/10.1037/0021-843X.117.1.247
   PubMed Web of Science ®Google Scholar
• D’Argembeau, A., Renaud, O., & Van Der Linden, M. (2011). Frequency, characteristics and functions of future-oriented thoughts in daily life. Applied Cognitive Psychology, 25(1), 96–103. https://doi.org/10.1002/acp.1647
   Web of Science ®Google Scholar
• D’Argembeau, A., & Van der Linden, M. (2006). Individual differences in the phenomenology of mental time travel: The effect of vivid visual imagery and emotion regulation strategies. Consciousness and Cognition, 15(2), 342–350. https://doi.org/10.1016/j.concog.2005.09.001
   PubMed Web of Science ®Google Scholar
• Davidson, R. J. (2004). What does the prefrontal cortex “do” in affect: Perspectives on frontal EEG asymmetry research. Biological Psychology, 67(1–2), 219–234. https://doi.org/10.1016/j.biopsycho.2004.03.008
   PubMed Web of Science ®Google Scholar
• De Groot, K., & Thurik, R. (2018). Disentangling risk and uncertainty: When risk-taking measures are not about risk. Frontiers in Psychology, 9. https://doi.org/10.3389/fpsyg.2018.02194
   Web of Science ®Google Scholar
• Dudai, Y., & Carruthers, M. (2005). The janus face of mnemosyne. Nature, 434(7033), 567–567. https://doi.org/10.1038/434567a
   PubMed Web of Science ®Google Scholar
• Evans, J. S. B. T. (2019). Hypothetical thinking: Dual processes in reasoning and judgement. Psychology Press. https://doi.org/10.4324/9780367823832
   Google Scholar
• Farah, M. J. (1988). Is visual imagery really visual? Overlooked evidence from neuropsychology. Psychological Review, 95(3), 307–317. https://doi.org/10.1037/0033-295X.95.3.307
   PubMed Web of Science ®Google Scholar
• Finnbogadóttir, H., & Berntsen, D. (2011). Involuntary and voluntary mental time travel in high and low worriers. Memory (Hove, England), 19(6), 625–640. https://doi.org/10.1080/09658211.2011.595722
   PubMed Web of Science ®Google Scholar
• Forgas, J. P. (1995). Mood and judgment: The affect infusion model (AIM). Psychological Bulletin, 117(1), 39–66. https://doi.org/10.1037/0033-2909.117.1.39
   PubMed Web of Science ®Google Scholar
• Frederick, S., Loewenstein, G., & O’Donoghue, T. (2002). Time discounting and time preference: A critical review. Journal of Economic Literature, 40(2), 351–401. https://doi.org/10.1257/jel.40.2.351
   Web of Science ®Google Scholar
• Fulford, J., Milton, F., Salas, D., Smith, A., Simler, A., Winlove, C., & Zeman, A. (2018). The neural correlates of visual imagery vividness – An fMRI study and literature review. Cortex, 105, 26–40. https://doi.org/10.1016/j.cortex.2017.09.014
   PubMed Web of Science ®Google Scholar
• Gaesser, B., Keeler, K., & Young, L. (2018). Moral imagination: Facilitating prosocial decision-making through scene imagery and theory of mind. Cognition, 171, 180–193. https://doi.org/10.1016/j.cognition.2017.11.004
   PubMed Web of Science ®Google Scholar
• Gaesser, B., & Schacter, D. L. (2014). Episodic simulation and episodic memory can increase intentions to help others. Proceedings of the National Academy of Sciences, 111(12), 4415–4420. https://doi.org/10.1073/pnas.1402461111
   PubMed Web of Science ®Google Scholar
• Ganis, G. (2020). Imagination and moral cognition. In A. Abraham (Ed.), The Cambridge handbook of the imagination (1st ed, pp. 390–405). Cambridge University Press. https://doi.org/10.1017/9781108580298.024
   Google Scholar
• Ganis, G., Thompson, W. L., & Kosslyn, S. M. (2004). Brain areas underlying visual mental imagery and visual perception: An fMRI study. Cognitive Brain Research, 20(2), 226–241. https://doi.org/10.1016/j.cogbrainres.2004.02.012
   PubMedGoogle Scholar
• Gigerenzer, G. (2002). Calculated risks: How to know when numbers deceive you. Simon & Schuster.
   Google Scholar
• Gilbert, D. T., & Wilson, T. D. (2007). Prospection: Experiencing the future. Science, 317(5843), 1351–1354. https://doi.org/10.1126/science.1144161
   PubMed Web of Science ®Google Scholar
• Gilovich, T., Griffin, D., & Kahneman, D. (2002). Heuristics and biases: The psychology of intuitive judgment. Cambridge University Press.
   Google Scholar
• Glöckner, A., & Betsch, T. (2008). Modeling option and strategy choices with connectionist networks: Towards an integrative model of automatic and deliberate decision making. Judgment and Decision Making, 3(3), 215–228. https://doi.org/10.1017/S1930297500002424
   Web of Science ®Google Scholar
• Glöckner, A., Betsch, T., & Schindler, N. (2010). Coherence shifts in probabilistic inference tasks. Journal of Behavioral Decision Making, 23(5), 439–462. https://doi.org/10.1002/bdm.668
   Web of Science ®Google Scholar
• Glöckner, A., & Herbold, A.-K. (2011). An eye-tracking study on information processing in risky decisions: Evidence for compensatory strategies based on automatic processes. Journal of Behavioral Decision Making, 24(1), 71–98. https://doi.org/10.1002/bdm.684
   Web of Science ®Google Scholar
• Goetzmann, W. N., Kim, D., Kumar, A., & Wang, Q. (2015). Weather-induced mood, institutional investors, and stock returns. Review of Financial Studies, 28(1), 73–111. https://doi.org/10.1093/rfs/hhu063
   Web of Science ®Google Scholar
• Greene, J. D., Sommerville, R. B., Nystrom, L. E., Darley, J. M., & Cohen, J. D. (2001). An fMRI investigation of emotional engagement in moral judgment. Science, 293(5537), 2105–2108. https://doi.org/10.1126/science.1062872
   PubMed Web of Science ®Google Scholar
• Greening, S. G., Lee, T.-H., Burleigh, L., Grégoire, L., Robinson, T., Jiang, X., Mather, M., & Kaplan, J. (2022). Mental imagery can generate and regulate acquired differential fear conditioned reactivity. Scientific Reports, 12(1), 997. https://doi.org/10.1038/s41598-022-05019-y
   PubMed Web of Science ®Google Scholar
• Harmon-Jones, E., & Allen, J. J. B. (1998). Anger and frontal brain activity: EEG asymmetry consistent with approach motivation despite negative affective valence. Journal of Personality and Social Psychology, 74(5), 1310–1316. https://doi.org/10.1037/0022-3514.74.5.1310
   PubMed Web of Science ®Google Scholar
• Harmon-Jones, E., & Gable, P. A. (2017). On the role of asymmetric frontal cortical activity in approach and withdrawal motivation: An updated review of the evidence. Psychophysiology, 1–23. https://doi.org/10.1111/psyp.12879
   Web of Science ®Google Scholar
• Hertwig, R., & Erev, I. (2009). The description-experience gap in risky choice. Trends in Cognitive Sciences, 13(12), 517–523. https://doi.org/10.1016/j.tics.2009.09.004
   PubMed Web of Science ®Google Scholar
• Hertwig, R., & Wulff, D. U. (2022). A description–experience framework of the psychology of risk. Perspectives on Psychological Science, 17(3), 631–651. https://doi.org/10.1177/17456916211026896
   Web of Science ®Google Scholar
• Hirshleifer, D., & Shumway, T. (2003). Good day sunshine: Stock returns and the weather. The Journal of Finance, 58(3), 1009–1032. https://doi.org/10.1111/1540-6261.00556
   Web of Science ®Google Scholar
• Holmes, E. A., Blackwell, S. E., Burnett Heyes, S., Renner, F., & Raes, F. (2016). Mental imagery in depression: Phenomenology, potential mechanisms, and treatment implications. Annual Review of Clinical Psychology, 12(1), 249–280. https://doi.org/10.1146/annurev-clinpsy-021815-092925
   PubMed Web of Science ®Google Scholar
• Holmes, E. A., Geddes, J. R., Colom, F., & Goodwin, G. M. (2008). Mental imagery as an emotional amplifier: Application to bipolar disorder. Behaviour Research and Therapy, 46(12), 1251–1258. https://doi.org/10.1016/j.brat.2008.09.005
   PubMed Web of Science ®Google Scholar
• Holmes, E. A., Kiss, M., & Eimer, M. (2006). Attention modulates the processing of emotional expression triggered by foveal faces. Neuroscience Letters, 394(1), 48–52. https://doi.org/10.1016/j.neulet.2005.10.002
   PubMed Web of Science ®Google Scholar
• Holmes, E. A., Lang, T. J., & Shah, D. M. (2009). Developing interpretation bias modification as a "cognitive vaccine" for depressed mood: Imagining positive events makes you feel better than thinking about them verbally.. Journal of Abnormal Psychology, 118(1), 76–88. https://doi.org/10.1037/a0012590
   PubMed Web of Science ®Google Scholar
• Holmes, E. A., & Mathews, A. (2005). Mental imagery and emotion: A special relationship? Emotion, 5(4), 489–497. https://doi.org/10.1037/1528-3542.5.4.489
   PubMed Web of Science ®Google Scholar
• Holmes, E. A., & Mathews, A. (2010). Mental imagery in emotion and emotional disorders. Clinical Psychology Review, 30(3), 349–362. https://doi.org/10.1016/j.cpr.2010.01.001
   PubMed Web of Science ®Google Scholar
• Holmes, E. A., Mathews, A., Mackintosh, B., & Dalgleish, T. (2008). The causal effect of mental imagery on emotion assessed using picture-word cues. Emotion, 8(3), 395–409. https://doi.org/10.1037/1528-3542.8.3.395
   PubMed Web of Science ®Google Scholar
• Hoppe, J. M., Holmes, E. A., & Agren, T. (2021). Exploring the neural basis of fear produced by mental imagery: Imaginal exposure in individuals fearful of spiders. Philosophical Transactions of the Royal Society B: Biological Sciences, 376(1817), 20190690. https://doi.org/10.1098/rstb.2019.0690
   PubMed Web of Science ®Google Scholar
• Hsee, C. K., & Rottenstreich, Y. (2004). Music, pandas, and muggers: On the affective psychology of value. Journal of Experimental Psychology: General, 133(1), 23–30. https://doi.org/10.1037/0096-3445.133.1.23
   PubMed Web of Science ®Google Scholar
• Huber, O., Beutter, C., Montoya, J., & Huber, O. W. (2001). Risk-defusing behaviour: Towards an understanding of risky decision making. European Journal of Cognitive Psychology, 13(3), 409–426. https://doi.org/10.1080/09541440125915
   Web of Science ®Google Scholar
• Isen, A. M., & Labroo, A. A. (2003). Some ways in which positive affect facilitates decision making and judgment. In S. L. Schneider, & J. Shanteau (Eds.), Emerging perspectives on judgment and decision research (pp. 365–393). Cambridge University Press. https://doi.org/10.1017/CBO9780511609978.013
   Google Scholar
• Ishai, A., & Sagi, D. (1995). Common mechanisms of visual imagery and perception. Science, https://doi.org/10.1126/science.7792605
   PubMed Web of Science ®Google Scholar
• Ivins, A., Di Simplicio, M., Close, H., Goodwin, G. M., & Holmes, E. (2014). Mental imagery in bipolar affective disorder versus unipolar depression: Investigating cognitions at times of ‘positive’ mood. Journal of Affective Disorders, 166, 234–242. https://doi.org/10.1016/j.jad.2014.05.007
   PubMed Web of Science ®Google Scholar
• Ji, J. L., Heyes, S. B., MacLeod, C., & Holmes, E. A. (2016). Emotional mental imagery as simulation of reality: Fear and beyond—a tribute to peter lang. Behavior Therapy, 47(5), 702–719. https://doi.org/10.1016/j.beth.2015.11.004
   PubMed Web of Science ®Google Scholar
• Johnson, S., & Tuckett, D. (2017). Narrative decision-making in investment choices: How investors use news about company performance. SSRN Electronic Journal, https://doi.org/10.2139/ssrn.3037463
   Google Scholar
• Kahneman, D., Ritov, I., & Schkade, D. (1999). Economic preferences or attitude expressions?: An analysis of dollar responses to public issues. Journal of Risk and Uncertainty, 19(1/3), 203–235. https://doi.org/10.1023/A:1007835629236
   Web of Science ®Google Scholar
• Kahneman, D., & Tversky, A. (1979). Prospect theory: An analysis of decision under risk. Econometrica, 47(2), 263–292. https://doi.org/10.2307/1914185
   Web of Science ®Google Scholar
• Kahneman, D., & Tversky, A. (1982). The simulation heuristic. In D. Kahneman, P. Slovic, & A. Tversky (Eds.), Judgment under uncertainty (1st ed, pp. 201–208). Cambridge University Press. https://doi.org/10.1017/CBO9780511809477.015
   Google Scholar
• Kahneman, D., Wakker, P. P., & Sarin, R. (1997). Back to Bentham? Explorations of experienced utility. The Quarterly Journal of Economics, 112(2), 375–406. https://doi.org/10.1162/003355397555235
   Web of Science ®Google Scholar
• Kamstra, M. J., Kramer, L. A., & Levi, M. D. (2003). Winter blues: A SAD stock market cycle. American Economic Review, 93(1), 324–343. https://doi.org/10.1257/000282803321455322
   Web of Science ®Google Scholar
• Kappes, H. B., & Morewedge, C. K. (2016). Mental simulation as substitute for experience. Social and Personality Psychology Compass, 10(7), 405–420. https://doi.org/10.1111/spc3.12257
   Web of Science ®Google Scholar
• Kavanagh, D. J., Andrade, J., & May, J. (2005). Imaginary relish and exquisite torture: The elaborated intrusion theory of desire. Psychological Review, 112(2), 446–467. https://doi.org/10.1037/0033-295X.112.2.446
   PubMed Web of Science ®Google Scholar
• Keeney, R. L., & Raiffa, H. (1993). Decisions with multiple objectives: Preferences and value tradeoffs. Cambridge University Press.
   Google Scholar
• Keltner, D., & Lerner, J. S. (2010). Emotion. In D. T. Gilbert, S. T. Fiske, & G. Lindzey (Eds.), The handbook of social psychology (pp. 253–352). Wiley. https://doi.org/10.1039/pc9797600253
   Google Scholar
• Keogh, R., & Pearson, J. (2018). The blind mind: No sensory visual imagery in aphantasia. Cortex, 105, 53–60. https://doi.org/10.1016/j.cortex.2017.10.012
   PubMed Web of Science ®Google Scholar
• Kim, S.-E., Kim, J.-W., Kim, J.-J., Jeong, B. S., Choi, E. A., Jeong, Y.-G., Kim, J. H., Ku, J., & Ki, S. W. (2007). The neural mechanism of imagining facial affective expression. Brain Research, 1145, 128–137. https://doi.org/10.1016/j.brainres.2006.12.048
   PubMed Web of Science ®Google Scholar
• Klein, G. (2008). Naturalistic decision making. Human Factors: The Journal of the Human Factors and Ergonomics Society, 50(3), 456–460. https://doi.org/10.1518/001872008X288385
   PubMed Web of Science ®Google Scholar
• Klein, I., Dubois, J., Mangin, J.-F., Kherif, F., Flandin, G., Poline, J.-B., Denis, M., Kosslyn, S. M., & Le Bihan, D. (2004). Retinotopic organization of visual mental images as revealed by functional magnetic resonance imaging. Cognitive Brain Research, 22(1), 26–31. https://doi.org/10.1016/j.cogbrainres.2004.07.006
   PubMedGoogle Scholar
• Knudstrup, M., Segrest, S. L., & Hurley, A. E. (2003). The use of mental imagery in the simulated employment interview situation. Journal of Managerial Psychology, 18(6), 573–591. https://doi.org/10.1108/02683940310494395
   Google Scholar
• Knutson, B., & Huettel, S. A. (2015). The risk matrix. Current Opinion in Behavioral Sciences, 5, 141–146. https://doi.org/10.1016/j.cobeha.2015.10.012
   Web of Science ®Google Scholar
• Koffka, K. (1934). Principles of gestalt psychology. Harcourt, Brace.
   Google Scholar
• Kosslyn, S. M. (1994). Image and brain: The resolution of the imagery debate. MIT Press.
   Google Scholar
• Kosslyn, S. M., Ganis, G., & Thompson, W. L. (2001). Neural foundations of imagery. Nature Reviews Neuroscience, 2(9), 635–642. https://doi.org/10.1038/35090055
   PubMed Web of Science ®Google Scholar
• Kosslyn, S. M., Thompson, W. L., & Alpert, N. M. (1997). Neural systems shared by visual imagery and visual perception: A positron emission tomography study. NeuroImage, 6(4), 320–334. https://doi.org/10.1006/nimg.1997.0295
   PubMed Web of Science ®Google Scholar
• Kosslyn, S. M., Thompson, W. L., Klm, I. J., & Alpert, N. M. (1995). Topographical representations of mental images in primary visual cortex. Nature, 378(6556), 496–498. https://doi.org/10.1038/378496a0
   PubMed Web of Science ®Google Scholar
• Kossowska, M., Letki, N., Zaleskiewicz, T., & Wichary, S. (2022). Human behaviour in pandemics: Social and psychological determinants in a global health crisis. Routledge.
   Google Scholar
• Kreiman, G., Koch, C., & Fried, I. (2000). Imagery neurons in the human brain. Nature, 408(6810), 357–361. https://doi.org/10.1038/35042575
   PubMed Web of Science ®Google Scholar
• Lang, P. J., Levin, D. N., Miller, G. A., & Kozak, M. J. (1983). Fear behavior, fear imagery, and the psychophysiology of emotion: The problem of affective response integration. Journal of Abnormal Psychology, 92(3), 276–306. https://doi.org/10.1037/0021-843X.92.3.276
   PubMed Web of Science ®Google Scholar
• Lejuez, C. W., Read, J. P., Kahler, C. W., Richards, J. B., Ramsey, S. E., Stuart, G. L., Strong, D. R., & Brown, R. A. (2002). Evaluation of a behavioral measure of risk taking: The balloon analogue risk task (BART). Journal of Experimental Psychology: Applied, 8(2), 75–84. https://doi.org/10.1037/1076-898X.8.2.75
   PubMed Web of Science ®Google Scholar
• Lempert, K. M., & Phelps, E. A. (2013). Neuroeconomics of emotion and decision making. In P. Glimcher, & E. Fehr (Eds.), Neuroeconomics: Decision making and the brain: Second edition (pp. 219–236). Academic Press. https://doi.org/10.1016/B978-0-12-416008-8.00012-7
   Google Scholar
• Lerner, J. S., & Keltner, D. (2001). Fear, anger, and risk. Journal of Personality and Social Psychology, 81(1), 146–159. https://doi.org/10.1037/0022-3514.81.1.146
   PubMed Web of Science ®Google Scholar
• Lerner, J. S., Li, Y., Valdesolo, P., & Kassam, K. S. (2015). Emotion and decision making. Annual Review of Psychology, 66(1), 799–823. https://doi.org/10.1146/annurev-psych-010213-115043
   PubMed Web of Science ®Google Scholar
• Loewenstein, G., & Lerner, J. S. (2003). The role of affect in decision making. In R. J. Davidson, K. R. Scherer, & H. H. Goldsmith (Eds.), Handbook of affective sciences (pp. 619–642). Oxford University Press.
   Google Scholar
• Loewenstein, G., & Prelec, D. (1992). Anomalies in intertemporal choice: Evidence and an interpretation. The Quarterly Journal of Economics, 107(2), 573–597. https://doi.org/10.2307/2118482
   Web of Science ®Google Scholar
• Loewenstein, G., Weber, E. U., Hsee, C. K., & Welch, N. (2001). Risk as feelings. Psychological Bulletin, 127(2), 267–286. https://doi.org/10.1037/0033-2909.127.2.267
   PubMed Web of Science ®Google Scholar
• Loomes, G., & Sugden, R. (1982). Regret theory: An alternative theory of rational choice under uncertainty. The Economic Journal, 92(368), 805–824. https://doi.org/10.2307/2232669
   Web of Science ®Google Scholar
• Lopes, L., & Oden, G. (1999). The role of aspiration level in risky choice: A comparison of cumulative prospect theory and SP/A theory. Journal of Mathematical Psychology, 43(2), 286–313. https://doi.org/10.1006/jmps.1999.1259
   PubMed Web of Science ®Google Scholar
• Luce, R. D., & Raiffa, H. (1989). Games and decisions: Introduction and critical survey. Dover Publications.
   Google Scholar
• MacKisack, M., Aldworth, S., Macpherson, F., Onians, J., Winlove, C., & Zeman, A. (2016). On picturing a candle: The prehistory of imagery science. Frontiers in Psychology, 7. https://doi.org/10.3389/fpsyg.2016.00515
   PubMed Web of Science ®Google Scholar
• MacLeod, A. (1994). Worry and explanation-based pessimism. In Worrying: Perspectives on theory, assessment and treatment (pp. 115–134). John Wiley & Sons.
   Google Scholar
• MacLeod, A. (1999). Prospective cognitions. In T. Dalgleish, & M. J. Power (Eds.), Handbook of cognition and emotion (pp. 267–280). John Wiley & Sons, Ltd. https://doi.org/10.1002/0470013494.ch14
   Google Scholar
• MacLeod, A. (2017). Prospection, well-being, and mental health. Oxford University Press.
   Google Scholar
• Manuck, S. B., Flory, J. D., Muldoon, M. F., & Ferrell, R. E. (2003). A neurobiology of intertemporal choice. In Time and decision: Economic and psychological perspectives on intertemporal choice (pp. 139–172). Russell Sage Foundation.
   Google Scholar
• Marks, D. F. (1973). Visual imagery differences in the recall of pictures. British Journal of Psychology, 64(1), 17–24. https://doi.org/10.1111/j.2044-8295.1973.tb01322.x
   PubMed Web of Science ®Google Scholar
• Marks, D. F. (1999). Consciousness, mental imagery and action. British Journal of Psychology, 90(4), 567–585. https://doi.org/10.1348/000712699161639
   Web of Science ®Google Scholar
• Mathews, A., Ridgeway, V., & Holmes, E. A. (2013). Feels like the real thing: Imagery is both more realistic and emotional than verbal thought. Cognition & Emotion, 27(2), 217–229. https://doi.org/10.1080/02699931.2012.698252
   PubMed Web of Science ®Google Scholar
• May, J., Kavanagh, D. J., & Andrade, J. (2015). The elaborated intrusion theory of desire: A 10-year retrospective and implications for addiction treatments. Addictive Behaviors, 44, 29–34. https://doi.org/10.1016/j.addbeh.2014.09.016
   PubMed Web of Science ®Google Scholar
• McClelland, J. L., Mirman, D., Bolger, D. J., & Khaitan, P. (2014). Interactive activation and mutual constraint satisfaction in perception and cognition. Cognitive Science, 38(6), 1139–1189. https://doi.org/10.1111/cogs.12146
   PubMed Web of Science ®Google Scholar
• McClelland, J. L., & Rumelhart, D. E. (1981). An interactive activation model of context effects in letter perception: I. An account of basic findings. Psychological Review, 88(5), 375–407. https://doi.org/10.1037/0033-295X.88.5.375
   Web of Science ®Google Scholar
• Mellers, B. A., Schwartz, A., Ho, K., & Ritov, I. (1997). Decision affect theory: Emotional reactions to the outcomes of risky options. Psychological Science, 8(6), 423–429. https://doi.org/10.1111/j.1467-9280.1997.tb00455.x
   Web of Science ®Google Scholar
• Mellet, E., Tzourio, N., Denis, M., & Mazoyer, B. (1995). A positron emission tomography study of visual and mental spatial exploration. Journal of Cognitive Neuroscience, 7(4), 433–445. https://doi.org/10.1162/jocn.1995.7.4.433
   PubMed Web of Science ®Google Scholar
• Miloyan, B., Bulley, A., & Suddendorf, T. (2016). Episodic foresight and anxiety: Proximate and ultimate perspectives. British Journal of Clinical Psychology, 55(1), 4–22. https://doi.org/10.1111/bjc.12080
   PubMed Web of Science ®Google Scholar
• Mischel, W., Shoda, Y., & Rodriguez, M. L. (1989). Delay of gratification in children. Science, 244(4907), 933–938. https://doi.org/10.1126/science.2658056
   PubMed Web of Science ®Google Scholar
• Mishra, S. (2014). Decision-making under risk. Personality and Social Psychology Review, 18(3), 280–307. https://doi.org/10.1177/1088868314530517
   PubMed Web of Science ®Google Scholar
• Mohr, P. N. C., Biele, G., & Heekeren, H. R. (2010). Neural processing of risk. The Journal of Neuroscience, 30(19), 6613–6619. https://doi.org/10.1523/JNEUROSCI.0003-10.2010
   PubMed Web of Science ®Google Scholar
• Montgomery, H. (1983). Advances in psychology. Advances in Psychology, 14, 343–369. https://doi.org/10.1016/S0166-4115(08)62243-8
   Google Scholar
• Montgomery, H. (1989). From cognition to action: The search for dominance in decision making. In H. Montgomery, & O. Svenson (Eds.), Process and structure in human decision making (pp. 23–49). John Wiley & Sons, Ltd.
   Google Scholar
• Moulton, S. T., & Kosslyn, S. M. (2009). Imagining predictions: Mental imagery as mental emulation. Philosophical Transactions of the Royal Society B: Biological Sciences, 364(1521), 1273–1280. https://doi.org/10.1098/rstb.2008.0314
   PubMed Web of Science ®Google Scholar
• Murphy, S. M., & Martin, K. A. (2002). The use of imagery in sport. In Advances in sport psychology (2nd ed, pp. 405–439). Human Kinetics.
   Google Scholar
• Murphy, S. M., Nordin, S., & Cumming, J. (2008). Imagery in sport, exercise, and dance. In Advances in sport psychology (3rd ed, pp. 297–324, 463–467). Human Kinetics.
   Google Scholar
• Nanay, B. (2016). The role of imagination in decision-making. Mind & Language, 31(1), 127–143. https://doi.org/10.1111/mila.12097
   Web of Science ®Google Scholar
• Neck, C. P., & Manz, C. C. (1992). Thought self-leadership: The influence of self-talk and mental imagery on performance. Journal of Organizational Behavior, 13(7), 681–699. https://doi.org/10.1002/job.4030130705
   Web of Science ®Google Scholar
• Neck, C. P., & Manz, C. C. (1996). Thought self-leadership: The impact of mental strategies training on employee cognition, behavior, and affect. Journal of Organizational Behavior, 17(5), 445–467. https://doi.org/10.1002/(SICI)1099-1379(199609)17:5<445::AID-JOB770>3.0.CO;2-N
   Web of Science ®Google Scholar
• Öhman, A., & Mineka, S. (2001). Fears, phobias, and preparedness: Toward an evolved module of fear and fear learning. Psychological Review, 108(3), 483–522. https://doi.org/10.1037/0033-295X.108.3.483
   PubMed Web of Science ®Google Scholar
• Okuda, J., Fujii, T., Ohtake, H., Tsukiura, T., Tanji, K., Suzuki, K., Kawashima, R., Fukuda, H., Itoh, M., & Yamadori, A. (2003). Thinking of the future and past: The roles of the frontal pole and the medial temporal lobes. NeuroImage, 19(4), 1369–1380. https://doi.org/10.1016/S1053-8119(03)00179-4
   PubMed Web of Science ®Google Scholar
• Ottaviani, R., & Beck, A. T. (1987). Cognitive aspects of panic disorders. Journal of Anxiety Disorders, 1(1), 15–28. https://doi.org/10.1016/0887-6185(87)90019-3
   Google Scholar
• Paivio, A. (1990). Mental representations. Oxford University Press. https://doi.org/10.1093/acprof:oso/9780195066661.001.0001
   Google Scholar
• Parrott, W. G. (2017). Role of emotions in risk perception. In G. Emilien, R. Weitkunat, & F. Lüdicke (Eds.), Consumer perception of product risks and benefits (pp. 221–232). Springer International Publishing. https://doi.org/10.1007/978-3-319-50530-5_12
   Google Scholar
• Pearson, J. (2019). The human imagination: The cognitive neuroscience of visual mental imagery. Nature Reviews Neuroscience, 20(10), 624–634. https://doi.org/10.1038/s41583-019-0202-9
   PubMed Web of Science ®Google Scholar
• Pearson, J., & Kosslyn, S. M. (2015). The heterogeneity of mental representation: Ending the imagery debate. Proceedings of the National Academy of Sciences, 112(33), 10089–10092. https://doi.org/10.1073/pnas.1504933112
   PubMed Web of Science ®Google Scholar
• Pearson, J., Naselaris, T., Holmes, E. A., & Kosslyn, S. M. (2015). Mental imagery: Functional mechanisms and clinical applications. Trends in Cognitive Sciences, 19(10), 590–602. https://doi.org/10.1016/j.tics.2015.08.003
   PubMed Web of Science ®Google Scholar
• Peters, E., & Slovic, P. (1996). The role of affect and worldviews as orienting dispositions in the perception and acceptance of nuclear Power1. Journal of Applied Social Psychology, 26(16), 1427–1453. https://doi.org/10.1111/j.1559-1816.1996.tb00079.x
   Web of Science ®Google Scholar
• Pfister, H., & Böhm, G. (2008). The multiplicity of emotions: A framework of emotional functions in decision making. Judgment and Decision Making, 3(1), 5–17. https://doi.org/10.1017/S1930297500000127
   Web of Science ®Google Scholar
• Phan, K. L., Wager, T., Taylor, S. F., & Liberzon, I. (2002). Functional neuroanatomy of emotion: A meta-analysis of emotion activation studies in PET and fMRI. NeuroImage, 16(2), 331–348. https://doi.org/10.1006/nimg.2002.1087
   PubMed Web of Science ®Google Scholar
• Phelps, E. A., Lempert, K. M., & Sokol-Hessner, P. (2014). Emotion and decision making: Multiple modulatory neural circuits. Annual Review of Neuroscience, 37(1), 263–287. https://doi.org/10.1146/annurev-neuro-071013-014119
   PubMed Web of Science ®Google Scholar
• Poppa, T., & Bechara, A. (2018). The somatic marker hypothesis: Revisiting the role of the ‘body-loop’ in decision-making. Current Opinion in Behavioral Sciences, 19, 61–66. https://doi.org/10.1016/j.cobeha.2017.10.007
   Web of Science ®Google Scholar
• Pratt, D., Cooper, M. J., & Hackmann, A. (2004). Imagery and its characteristics in people who are anxious about spiders. Behavioural and Cognitive Psychotherapy, 32(2), 165–176. https://doi.org/10.1017/S1352465804001158
   Web of Science ®Google Scholar
• Rachlin, H. (2000). The science of self-control. Harvard University Press.
   Google Scholar
• Ramsey, R., Cumming, J., & Edwards, M. G. (2009). Mental imagery inflates performance expectations but not actual performance of a novel and challenging motor task. Imagination, Cognition and Personality, 28(4), 331–347. https://doi.org/10.2190/IC.28.4.d
   Google Scholar
• Raune, D., MacLeod, A., & Holmes, E. A. (2005). The simulation heuristic and visual imagery in pessimism for future negative events in anxiety. Clinical Psychology & Psychotherapy, 12(4), 313–325. https://doi.org/10.1002/cpp.455
   Web of Science ®Google Scholar
• Read, S. J., Vanman, E. J., & Miller, L. C. (1997). Connectionism, parallel constraint satisfaction processes, and gestalt principles: (Re)Introducing cognitive dynamics to social psychology. Personality and Social Psychology Review, 1(1), 26–53. https://doi.org/10.1207/s15327957pspr0101_3
   PubMedGoogle Scholar
• Renner, F., Murphy, F. C., Ji, J. L., Manly, T., & Holmes, E. A. (2019). Mental imagery as a “motivational amplifier” to promote activities. Behaviour Research and Therapy, 114, 51–59. https://doi.org/10.1016/j.brat.2019.02.002
   PubMed Web of Science ®Google Scholar
• Reyna, V. F., & Huettel, S. A. (2014). Reward, representation, and impulsivity: A theoretical framework for the neuroscience of risky decision making. In The neuroscience of risky decision making (pp. 11–42). American Psychological Association. https://doi.org/10.1037/14322-002
   Google Scholar
• Reyna, V. F., Nelson, W. L., Han, P. K., & Dieckmann, N. F. (2009). How numeracy influences risk comprehension and medical decision making. Psychological Bulletin, 135(6), 943–973. https://doi.org/10.1037/a0017327
   PubMed Web of Science ®Google Scholar
• Reyna, V. F., Wilhelms, E. A., McCormick, M. J., & Weldon, R. B. (2015). Development of risky decision making: Fuzzy-trace theory and neurobiological perspectives. Child Development Perspectives, 9(2), 122–127. https://doi.org/10.1111/cdep.12117
   PubMed Web of Science ®Google Scholar
• Rick, S., & Loewenstein, G. (2008). Intangibility in intertemporal choice. Philosophical Transactions of the Royal Society B: Biological Sciences, 363(1511), 3813–3824. https://doi.org/10.1098/rstb.2008.0150
   PubMed Web of Science ®Google Scholar
• Riquelme, H. (2002). Can people creative in imagery interpret ambiguous figures faster than people less creative in imagery? The Journal of Creative Behavior, 36(2), 105–116. https://doi.org/10.1002/j.2162-6057.2002.tb01059.x
   Web of Science ®Google Scholar
• Rottenstreich, Y., & Hsee, C. K. (2001). Money, kisses, and electric shocks: On the affective psychology of risk. Psychological Science, 12(3), 185–190. https://doi.org/10.1111/1467-9280.00334
   PubMed Web of Science ®Google Scholar
• Rottenstreich, Y., & Tversky, A. (1997). Unpacking, repacking, and anchoring: Advances in support theory. Psychological Review, 104(2), 406–415. https://doi.org/10.1037/0033-295X.104.2.406
   PubMed Web of Science ®Google Scholar
• Rozin, P., Lowery, L., Imada, S., & Haidt, J. (1999). The CAD triad hypothesis: A mapping between three moral emotions (contempt, anger, disgust) and three moral codes (community, autonomy, divinity). Journal of Personality and Social Psychology, 76(4), 574–586. https://doi.org/10.1037/0022-3514.76.4.574
   PubMed Web of Science ®Google Scholar
• Schacter, D. L., Addis, D. R., & Buckner, R. L. (2008). Episodic simulation of future events. Annals of the New York Academy of Sciences, 1124(1), 39–60. https://doi.org/10.1196/annals.1440.001
   PubMedGoogle Scholar
• Schacter, D. L., Benoit, R. G., & Szpunar, K. K. (2017). Episodic future thinking: Mechanisms and functions. Current Opinion in Behavioral Sciences, 17, 41–50. https://doi.org/10.1016/j.cobeha.2017.06.002
   PubMed Web of Science ®Google Scholar
• Schifferstein, H. N. J. (2009). Comparing mental imagery across the sensory modalities. Imagination, Cognition and Personality, 28(4), 371–388. https://doi.org/10.2190/IC.28.4.g
   Google Scholar
• Schoemaker, P. J. H. (1982). The expected utility model: Its variants, purposes, evidence and limitations. Journal of Economic Literature, 20(2), 529–563.
   Web of Science ®Google Scholar
• Schulze, C., & Hertwig, R. (2021). A description–experience gap in statistical intuitions: Of smart babies, risk-savvy chimps, intuitive statisticians, and stupid grown-ups. Cognition, 210, 104580. https://doi.org/10.1016/j.cognition.2020.104580
   PubMed Web of Science ®Google Scholar
• Schwarz, N. (2000). Emotion, cognition, and decision making. Cognition & Emotion, 14(4), 433–440. https://doi.org/10.1080/026999300402745
   Web of Science ®Google Scholar
• Schwarz, N. (2001). Feelings as information: Implications for affective influences on information processing. In L. L. Martin, & G. L. Clore (Eds.), Theories of mood and cognition: A user’s handbook (pp. 159–176). Erlbaum.
   Google Scholar
• Schwarz, N., & Clore, G. L. (1983). Mood, misattribution, and judgments of well-being: Informative and directive functions of affective states. Journal of Personality and Social Psychology, 45(3), 513–523. https://doi.org/10.1037/0022-3514.45.3.513
   Web of Science ®Google Scholar
• Seligman, M. E. P. (2016). Homo prospectus. Oxford University Press.
   Google Scholar
• Seligman, M. E. P., Railton, P., Baumeister, R. F., & Sripada, C. (2013). Navigating into the future or driven by the past. Perspectives on Psychological Science, 8(2), 119–141. https://doi.org/10.1177/1745691612474317
   Web of Science ®Google Scholar
• Shah, A. K., & Oppenheimer, D. M. (2008). Heuristics made easy: An effort-reduction framework. Psychological Bulletin, 134(2), 207–222. https://doi.org/10.1037/0033-2909.134.2.207
   PubMed Web of Science ®Google Scholar
• Sharot, T., Riccardi, A. M., Raio, C. M., & Phelps, E. A. (2007). Neural mechanisms mediating optimism bias. Nature, 450(7166), 102–105. https://doi.org/10.1038/nature06280
   PubMed Web of Science ®Google Scholar
• Sheffrin, S. M. (1996). Rational expectations (2nd ed). Cambridge University Press.
   Google Scholar
• Simon, D., Stenstrom, D. M., & Read, S. J. (2015). The coherence effect: Blending cold and hot cognitions. Journal of Personality and Social Psychology, 109(3), 369–394. https://doi.org/10.1037/pspa0000029
   PubMed Web of Science ®Google Scholar
• Sinclair, A. H., Manalili, G. M., Brunec, I. K., Adcock, R. A., & Barense, M. D. (2021). Prediction errors disrupt hippocampal representations and update episodic memories. Proceedings of the National Academy of Sciences, 118(51), e2117625118. https://doi.org/10.1073/pnas.2117625118
   PubMed Web of Science ®Google Scholar
• Sjöberg, L. (2007). Emotions and risk perception. Risk Management, 9(4), 223–237. https://doi.org/10.1057/palgrave.rm.8250038
   Google Scholar
• Slovic, P. (1987). Perception of risk. Science, 236(4799), 280–285. https://doi.org/10.1126/science.3563507
   PubMed Web of Science ®Google Scholar
• Slovic, P., Finucane, M. L., Peters, E., & MacGregor, D. G. (2004). Risk as analysis and risk as feelings: Some thoughts about affect, reason, risk, and rationality. Risk Analysis, 24(2), 311–322. https://doi.org/10.1111/j.0272-4332.2004.00433.x
   PubMed Web of Science ®Google Scholar
• Slovic, P., Finucane, M. L., Peters, E., & MacGregor, D. G. (2007). The affect heuristic. European Journal of Operational Research, 177(3), 1333–1352. https://doi.org/10.1016/j.ejor.2005.04.006
   Web of Science ®Google Scholar
• Slovic, P., Flynn, J. H., & Layman, M. (1991). Perceived risk, trust, and the politics of nuclear waste. Science, 254(5038), 1603–1607. https://doi.org/10.1126/science.254.5038.1603
   PubMed Web of Science ®Google Scholar
• Slovic, P., & Peters, E. (2006). Risk perception and affect. Current Directions in Psychological Science, 15(6), 322–325. https://doi.org/10.1111/j.1467-8721.2006.00461.x
   Web of Science ®Google Scholar
• Smieja, J. M., Zaleskiewicz, T., Sobkow, A., & Traczyk, J. (2023). Imagining risk taking: The valence of mental imagery Is related to the declared willingness to take risky actions. PsyArXiv, https://doi.org/10.31234/osf.io/kyv4p
   Google Scholar
• Smith, R., & Lane, R. D. (2016). Unconscious emotion: A cognitive neuroscientific perspective. Neuroscience & Biobehavioral Reviews, 69, 216–238. https://doi.org/10.1016/j.neubiorev.2016.08.013
   PubMed Web of Science ®Google Scholar
• Sobkow, A., Traczyk, J., & Zaleskiewicz, T. (2016). The affective bases of risk perception: Negative feelings and stress mediate the relationship between mental imagery and risk perception. Frontiers in Psychology, 7(932), https://doi.org/10.3389/fpsyg.2016.00932
   PubMedGoogle Scholar
• Stallen, M., & Sanfey, A. G. (2015). The neuroscience of social conformity: Implications for fundamental and applied research. Frontiers in Neuroscience, 9, 337. https://doi.org/10.3389/fnins.2015.00337
   PubMed Web of Science ®Google Scholar
• Starmer, C. (2000). Developments in non-expected utility theory: The hunt for a descriptive theory of choice under risk. Journal of Economic Literature, 38(2), 332–382. https://doi.org/10.1257/jel.38.2.332
   Web of Science ®Google Scholar
• Stein, M. B., & Gorman, J. (2001). Unmasking social anxiety disorder. Journal of Psychiatry & Neuroscience, 26(3), 185–189.
   PubMed Web of Science ®Google Scholar
• Stevenson, L. (2003). Twelve conceptions of imagination. The British Journal of Aesthetics, 43(3), 238–259. https://doi.org/10.1093/bjaesthetics/43.3.238
   Web of Science ®Google Scholar
• Suddendorf, T. (2013). The gap: The science of what separates us from other animals. Basic Books, a member of the Perseus Books Group.
   Google Scholar
• Suddendorf, T., & Busby, J. (2003). Mental time travel in animals? Trends in Cognitive Sciences, 7(9), 391–396. https://doi.org/10.1016/S1364-6613(03)00187-6
   PubMed Web of Science ®Google Scholar
• Suddendorf, T., & Busby, J. (2005). Making decisions with the future in mind: Developmental and comparative identification of mental time travel. Learning and Motivation, 36(2), 110–125. https://doi.org/10.1016/j.lmot.2005.02.010
   Web of Science ®Google Scholar
• Suddendorf, T., & Corballis, M. C. (1997). Mental time travel and the evolution of the human mind. Genetic, Social, and General Psychology Monographs, 123(2), 133–167.
   PubMedGoogle Scholar
• Suddendorf, T., & Corballis, M. C. (2007). The evolution of foresight: What is mental time travel, and is it unique to humans? Behavioral and Brain Sciences, 30(03), 299–313. https://doi.org/10.1017/S0140525X07001975
   PubMed Web of Science ®Google Scholar
• Svenson, O. (1992). Differentiation and consolidation theory of human decision making: A frame of reference for the study of pre- and post-decision processes. Acta Psychologica, 80(1–3), 143–168. https://doi.org/10.1016/0001-6918(92)90044-E
   Web of Science ®Google Scholar
• Switras, J. E. (1978). An alternate-form instrument to assess vividness and controllability of mental imagery in seven modalities. Perceptual and Motor Skills, 46(2), 379–384. https://doi.org/10.2466/pms.1978.46.2.379
   PubMed Web of Science ®Google Scholar
• Szpunar, K. K. (2010). Episodic future thought. Perspectives on Psychological Science, 5(2), 142–162. https://doi.org/10.1177/1745691610362350
   Web of Science ®Google Scholar
• Szpunar, K. K., Spreng, R. N., & Schacter, D. L. (2014). A taxonomy of prospection: Introducing an organizational framework for future-oriented cognition. Proceedings of the National Academy of Sciences, 111(52), 18414–18421. https://doi.org/10.1073/pnas.1417144111
   PubMed Web of Science ®Google Scholar
• Taylor, S. E., Pham, L. B., Rivkin, I. D., & Armor, D. A. (1998). Harnessing the imagination: Mental simulation, self-regulation, and coping. American Psychologist, 53(4), 429–439. https://doi.org/10.1037/0003-066X.53.4.429
   PubMed Web of Science ®Google Scholar
• Tetlock, P. E., & Gardner, D. (2015). Superforecasting: The art and science of prediction (1st ed.). Crown Publishers.
   Google Scholar
• Thagard, P., & Millgram, E. (1995). Inference to the best plan: A coherence theory of decision. In A. Ram, & D. B. Leake (Eds.), Goal-driven learning (pp. 439–454). MIT Press.
   Google Scholar
• Tobler, P. N., & Weber, E. U. (2013). Valuation for risky and uncertain choices. In P. Glimcher, & E. Fehr (Eds.), Neuroeconomics: Decision making and the brain: Second edition (pp. 149–172). Academic Press. https://doi.org/10.1016/B978-0-12-416008-8.00009-7
   Google Scholar
• Traczyk, J., Sobkow, A., & Zaleskiewicz, T. (2015). Affect-laden imagery and risk taking: The mediating role of stress and risk perception. PLoS ONE, 10(3), e0122226. https://doi.org/10.1371/journal.pone.0122226
   PubMed Web of Science ®Google Scholar
• Tuckett, D., & Nikolic, M. (2017). The role of conviction and narrative in decision-making under radical uncertainty. Theory & Psychology, 27(4), 501–523. https://doi.org/10.1177/0959354317713158
   PubMed Web of Science ®Google Scholar
• Tulving, E. (2002). Episodic memory: From mind to brain. Annual Review of Psychology, 53(1), 1–25. https://doi.org/10.1146/annurev.psych.53.100901.135114
   PubMed Web of Science ®Google Scholar
• Tversky, A. (1972). Elimination by aspects: A theory of choice. Psychological Review, 79(4), 281–299. https://doi.org/10.1037/h0032955
   Web of Science ®Google Scholar
• Tversky, A., & Kahneman, D. (1973). Availability: A heuristic for judging frequency and probability. Cognitive Psychology, 5(2), 207–232. https://doi.org/10.1016/0010-0285(73)90033-9
   Web of Science ®Google Scholar
• Tversky, A., & Kahneman, D. (1992). Advances in prospect theory: Cumulative representation of uncertainty. Journal of Risk and Uncertainty, 5(4), 297–323. https://doi.org/10.1007/BF00122574
   Web of Science ®Google Scholar
• Tversky, A., & Koehler, D. J. (1994). Support theory: A nonextensional representation of subjective probability. Psychological Review, 101(4), 547–567. https://doi.org/10.1037/0033-295X.101.4.547
   Web of Science ®Google Scholar
• Van Bavel, J. J., Baicker, K., Boggio, P. S., Capraro, V., Cichocka, A., Cikara, M., Crockett, M. J., Crum, A. J., Douglas, K. M., Druckman, J. N., Drury, J., Dube, O., Ellemers, N., Finkel, E. J., Fowler, J. H., Gelfand, M., Han, S., Haslam, S. A., Jetten, J., … Willer, R. (2020). Using social and behavioural science to support COVID-19 pandemic response. Nature Human Behaviour, 4(5), 460–471. https://doi.org/10.1038/s41562-020-0884-z
   PubMed Web of Science ®Google Scholar
• Volz, K. G., & Gigerenzer, G. (2012). Cognitive processes in decisions under risk are not the same as in decisions under uncertainty. Frontiers in Neuroscience, https://doi.org/10.3389/fnins.2012.00105
   PubMed Web of Science ®Google Scholar
• von Neumann, J., & Morgenstern, O. (1944). Theory of games and economic behavior. Princeton University Press.
   Google Scholar
• Vrana, S. R., Cuthbert, B. N., & Lang, P. J. (1986). Fear imagery and text processing. Psychophysiology, 23(3), 247–253. https://doi.org/10.1111/j.1469-8986.1986.tb00626.x
   PubMed Web of Science ®Google Scholar
• Weber, E. U. (2017). Understanding public risk perception and responses to changes in perceived risk. In E. J. Balleisen, J. B. Wiener, K. D. Krawiec, & L. S. Bennear (Eds.), Policy shock: Recalibrating risk and regulation after oil spills, nuclear accidents and financial crises (pp. 58–81). Cambridge University Press. https://doi.org/10.1017/9781316492635.004
   Google Scholar
• Weber, E. U., Blais, A.-R., & Betz, N. E. (2002). A domain-specific risk-attitude scale: Measuring risk perceptions and risk behaviors. Journal of Behavioral Decision Making, 15(4), 263–290. https://doi.org/10.1002/bdm.414
   Web of Science ®Google Scholar
• Wilson, T. D., & Gilbert, D. T. (2005). Affective forecasting. Current Directions in Psychological Science, 14(3), 131–134. https://doi.org/10.1111/j.0963-7214.2005.00355.x
   Web of Science ®Google Scholar
• Winkielman, P., & Berridge, K. C. (2004). Unconscious emotion. Current Directions in Psychological Science, 13(3), 120–123. https://doi.org/10.1111/j.0963-7214.2004.00288.x
   Web of Science ®Google Scholar
• Winlove, C. I. P., Milton, F., Ranson, J., Fulford, J., MacKisack, M., Macpherson, F., & Zeman, A. (2018). The neural correlates of visual imagery: A co-ordinate-based meta-analysis. Cortex, 105, 4–25. https://doi.org/10.1016/j.cortex.2017.12.014
   PubMed Web of Science ®Google Scholar
• Wyer, R. S., Hung, I. W., & Jiang, Y. (2008). Visual and verbal processing strategies in comprehension and judgment. Journal of Consumer Psychology, 18(4), 244–257. https://doi.org/10.1016/j.jcps.2008.09.002
   Web of Science ®Google Scholar
• Zaleskiewicz, T., & Traczyk, J. (2020). Emotions and financial decision making. In T. Zaleskiewicz, & J. Traczyk (Eds.), Psychological perspectives on financial decision making (pp. 107–133). Springer International Publishing. https://doi.org/10.1007/978-3-030-45500-2_6
   Google Scholar
• Zaleskiewicz, T., Traczyk, J., Sobkow, A., Fulawka, K., & Megías-Robles, A. (2022). Visualizing risky behaviors induces a stronger neural response in brain areas responsible for mental imagery and emotions than visualizing neutral behaviors. https://doi.org/10.21203/rs.3.rs-1189673/v1
   Google Scholar
• Zeelenberg, M., van Dijk, W. W., Manstead, A. S. R., & vanr de Pligt, J. (2000). On bad decisions and disconfirmed expectancies: The psychology of regret and disappointment. Cognition & Emotion, 14(4), 521–541. https://doi.org/10.1080/026999300402781
   Web of Science ®Google Scholar
• Zeman, A. (2020). Aphantasia. In A. Abraham (Ed.), The Cambridge handbook of the imagination (1st ed, pp. 692–710). Cambridge University Press. https://doi.org/10.1017/9781108580298.042
   Google Scholar