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Simulation does not just inform choice, it changes choice

Published online by Cambridge University Press:  08 May 2023

Karalyn F. Enz
Affiliation:
Department of Psychology, Princeton University, Princeton, NJ 08540, USA. [email protected] [email protected] https://scholar.princeton.edu/kenz https://psnlab.princeton.edu/
Diana I. Tamir
Affiliation:
Department of Psychology, Princeton University, Princeton, NJ 08540, USA. [email protected] [email protected] https://scholar.princeton.edu/kenz https://psnlab.princeton.edu/

Abstract

Simulation – imagining future events – plays a role in decision-making. In Conviction Narrative Theory, people's emotional responses to their simulations inform their choices. Yet imagining one possible future also increases its plausibility and accessibility relative to other futures. We propose that the act of simulation, in addition to affective evaluation, drives people to choose in accordance with their simulations.

Type
Open Peer Commentary
Copyright
Copyright © The Author(s), 2023. Published by Cambridge University Press

According to Conviction Narrative Theory (CNT), simulating imagined futures allows people to assess how they feel about those futures. These feelings, in turn, inform people's decisions about which future to ultimately pursue. In this account, people simulate by extending the most plausible narrative account of the present into the imagined future. They then use their emotional response – the output of the simulation process – to decide whether to approach or avoid that future (target article). The key here is that the affective evaluation of the simulation drives people's actions: people choose to act in line with imagined futures they feel good about. While we agree that this is one way simulation can affect decision-making, we propose that simulation does more than just give people information about how they feel about their possible choices. We extend the CNT account by considering how the act of simulation itself can change choice.

A growing body of experimental literature finds that simulating a specific event amplifies the perceived likelihood of that event. For example, after a person simulates contracting a disease, they think it is more likely they will get that disease in the future (Sherman, Cialdini, Schwartzman, & Reynolds, Reference Sherman, Cialdini, Schwartzman and Reynolds1985); the easier the symptoms are to imagine, the more people perceive the disease as likely. The effects of simulation also accumulate with repetition. For example, as people imagine a social interaction over and over, the event seems more and more plausible (Schacter, Benoit, De Brigard, & Szpunar, Reference Schacter, Benoit, De Brigard and Szpunar2015; Szpunar & Schacter, Reference Szpunar and Schacter2013). This amplification of plausibility occurs after simulating both good and bad interactions, suggesting that one's affective readout of a simulation may occur independently of these consequences. Simulation even has the power to change people's perceptions of the past, convincing them that they experienced imagined past events (Garry, Manning, Loftus, & Sherman, Reference Garry, Manning, Loftus and Sherman1996). Together, these findings suggest that simulation increases the plausibility of simulated events, even when it doesn't make the event feel more affectively palatable. It is as if simulating an event paves the way for people to think about the event as real, whether or not they want it to happen.

Simulating one possible future can also block the path to alternative futures. Research on memory has shown that recalling one piece of information can make people forget related information – a phenomenon known as retrieval-induced forgetting (Anderson, Bjork, & Bjork, Reference Anderson, Bjork and Bjork1994). For example, if a person studies a list of fruits and then selectively practices apples and grapes, they become less likely to remember oranges or pears later. This suppression can occur during decision-making as well: if people generate detailed evidence supporting one option, it later becomes harder to come up with support for alternative options (Iglesias-Parro & Gómez-Ariza, Reference Iglesias-Parro and Gómez-Ariza2006; Ting & Wallsten, Reference Ting and Wallsten2011; Weber & Johnson, Reference Weber and Johnson2011). Like remembering, mental imagery can induce forgetting (Saunders, Fernandes, & Kosnes, Reference Saunders, Fernandes and Kosnes2009). Simulation may inadvertently narrow people's options by inhibiting the accessibility of non-simulated futures.

Simulation is clearly more than just a passive way to read out affective responses to choice options. By making the imagined future more concrete and blocking the path to other options, simulation paves the way for a person to walk down the simulated path. Indeed, simulation has the power to shift actual behavior such that people become more likely to enact the simulated future: After people simulate helping another person, they become more likely to actually engage in prosocial behavior (Gaesser, Shimura, & Cikara, Reference Gaesser, Shimura and Cikara2020). After people simulate making one choice among several, they become more likely to actually pursue that choice (Enz & Tamir, Reference Enz and Tamirin prep). For example, in controlled lab scenarios, when presented with two snacks to eat, people are more likely to choose the snack that they were randomly assigned to simulate; when presented with two videos to watch, people are more likely to choose the video that they were randomly assigned to simulate. This shift in choice behavior occurs even when people initially like both options equally. This finding translates to consequential decisions outside of the lab, as well. After people simulate an option for an upcoming decision from their own life, they become more likely to choose the option they simulated and less likely to choose any options they did not simulate.

The choice-promoting influence of simulation feeds a positive feedback loop, since people are more likely to simulate options they are initially more likely to choose (Enz & Tamir, Reference Enz and Tamirin prep). Several lines of work have shown that people begin a decision-making process by considering the most plausible options. For example, people often start with options that reflect the status quo (Weber & Johnson, Reference Weber and Johnson2011); options that are valued, moral, or practical (Morris, Phillips, Huang, & Cushman, Reference Morris, Phillips, Huang and Cushman2021; Phillips, Morris, & Cushman, Reference Phillips, Morris and Cushman2019); or options that have worked for them in the past (Klein, Reference Klein, Klein, Orasanu, Calderwood and Zsambok1993, Reference Klein and Moray2005). Simulating these already promising options makes them seem even more attractive, further increasing their likelihood of being simulated, and ultimately chosen. This simulation-induced cognitive feedback loop could help to explain how people become more convinced of their narratives and corresponding imagined futures over time.

Rather than merely providing a route to affective evaluation, we propose that the act of simulation has the power to change one's choices. Importantly, simulation can change choices independent of affect. The cognitive effects of simulation increase the likelihood that a person will choose the future they simulate not only because they feel good about that imagined future, but because it becomes the easiest future to imagine and pursue.

Financial support

This work was supported by NSF grant BCS-1844559 to D. I. T.

Competing interest

None.

References

Anderson, M. C., Bjork, R. A., & Bjork, E. L. (1994). Remembering can cause forgetting: Retrieval dynamics in long-term memory. Journal of Experimental Psychology. Learning, Memory, and Cognition, 20(5), 10631087. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/7931095CrossRefGoogle ScholarPubMed
Enz, K. F., & Tamir, D. I. (in prep). Imagine before you decide: Episodic simulation increases the likelihood of choosing the simulated option.Google Scholar
Gaesser, B., Shimura, Y., & Cikara, M. (2020). Episodic simulation reduces intergroup bias in prosocial intentions and behavior. Journal of Personality and Social Psychology, 118(4), 683705. doi: 10.1037/pspi0000194.CrossRefGoogle ScholarPubMed
Garry, M., Manning, C. G., Loftus, E. F., & Sherman, S. J. (1996). Imagination inflation: Imagining a childhood event inflates confidence that it occurred. Psychonomic Bulletin & Review, 3(2), 208214. doi: 10.3758/BF03212420CrossRefGoogle ScholarPubMed
Iglesias-Parro, S., & Gómez-Ariza, C. J. (2006). Biasing decision making by means of retrieval practice. The European Journal of Cognitive Psychology, 18(6), 899908. doi: 10.1080/09541440500501189CrossRefGoogle Scholar
Klein, G. (1993). A recognition-primed decision (RPD) model of rapid decision making. In Klein, G. A., Orasanu, J., Calderwood, R., & Zsambok, C. E. (Eds.), Decision making in action: Models and methods (pp. 138147). Ablex Publishing.Google Scholar
Klein, G. (2005). Recognition-primed decisions. In Moray, N. (Ed.), Ergonomics: Major writings (Vol. 3, pp. 271307). Taylor & Francis.Google Scholar
Morris, A., Phillips, J., Huang, K., & Cushman, F. (2021). Generating options and choosing between them depend on distinct forms of value representation. Psychological Science, 32(11), 17311746. doi: 10.1177/09567976211005702CrossRefGoogle ScholarPubMed
Phillips, J., Morris, A., & Cushman, F. (2019). How we know what not to think. Trends in Cognitive Sciences, 23(12), 10261040. doi: 10.1016/j.tics.2019.09.007CrossRefGoogle ScholarPubMed
Saunders, J., Fernandes, M., & Kosnes, L. (2009). Retrieval-induced forgetting and mental imagery. Memory & Cognition, 37(6), 819828. doi: 10.3758/MC.37.6.819CrossRefGoogle ScholarPubMed
Schacter, D. L., Benoit, R. G., De Brigard, F., & Szpunar, K. K. (2015). Episodic future thinking and episodic counterfactual thinking: Intersections between memory and decisions. Neurobiology of Learning and Memory, 117, 1421. doi: 10.1016/j.nlm.2013.12.008CrossRefGoogle ScholarPubMed
Sherman, S. J., Cialdini, R. B., Schwartzman, D. F., & Reynolds, K. D. (1985). Imagining can heighten or lower the perceived likelihood of contracting a disease: The mediating effect of ease of imagery. Personality & Social Psychology Bulletin, 11(1), 118127. doi: 10.1177/0146167285111011CrossRefGoogle Scholar
Szpunar, K. K., & Schacter, D. L. (2013). Get real: Effects of repeated simulation and emotion on the perceived plausibility of future experiences. Journal of Experimental Psychology. General, 142(2), 323327. doi: 10.1037/a0028877CrossRefGoogle ScholarPubMed
Ting, H., & Wallsten, T. S. (2011). A query theory account of the effect of memory retrieval on the sunk cost bias. Psychonomic Bulletin & Review, 18(4), 767773. doi: 10.3758/s13423-011-0099-4CrossRefGoogle ScholarPubMed
Weber, E. U., & Johnson, E. J. (2011). Query theory: Knowing what we want by arguing with ourselves. The Behavioral and Brain Sciences, 34(2), 9192. doi: 10.1017/s0140525×10002797CrossRefGoogle Scholar