Cognition
The Affective Trade-Offs We Make
Exploring principles of the Affect Management Framework (AMF).
Posted December 18, 2025 Reviewed by Margaret Foley
Key points
- Affect management is anticipatory: People make decisions based on how they project those decisions will feel.
- Affect management is multifaceted, involving the interplay between different brain processes.
- Affect management is contextual, with different affective features sought in different contexts.
- Affect impacts decision-making at all times, not just when someone is very emotional.
In my conception of the Affect Management Framework (AMF; Haynes-LaMotte, 2025), affect is defined as an evaluative common currency in consciousness that is attached to the brain’s goals and can be swayed by a combination of interoceptive senses, meaning-making processes, the processing dynamics of exteroceptive senses (sight and hearing), and the proprioceptive signals used to control the body. My previous post provided an overview of the framework. This post will explore additional principles.
Affect Management Is Anticipatory
People generally make decisions based on how they predict those decisions would affectively feel, whether or not that prediction is truly accurate (referred to as affective forecasting (Wilson & Gilbert, 2005). For example, someone may choose not take a chance on something due to a sense of loss aversion, even though research suggests that loss aversion is an affective forecasting error (Kermer, Driver-Linn, Wilson, & Gilbert, 2006).
There are several other pieces of evidence for the anticipatory nature of affect management. A meta-analysis by DeWall, Baumeister, Chester, and Bushman (2016) found that anticipated emotion from taking an action was much more strongly related to behaviors and judgments than was currently experienced emotion.
In one illustration of this, my study (LaMotte, Khan, Farrell, & Murphy, 2025) investigated how mood repair motives are involved in abusive relationship behaviors. Men who were court-mandated to be in an Abuse Intervention Program were asked to imagine themselves in several difficult relationship situations (e.g., your partner tells someone else your private information). They were then asked how strongly they would feel different emotions, how strongly they would want to stop feeling them, how much they thought different behaviors would help repair their mood, and how likely they would be to do each behavior if the situation happened to them. The results showed that, across both abusive and non-abusive behavioral responses, there was a strong association between what participants thought would make them feel better and what they would do.
Consistent with these findings and covering a broader range of contexts, a meta-analysis by Chitraranjan and Botenne (2024) found a strong relationship between behavioral intentions and anticipated affect from those behaviors (r = .61).
Affect management is not only operating at times of extreme emotion, but can also explain many other situational decisions that people make in their absence (Slovic, Finucane, Peters, & MacGregor, 2005). For example, people avoid otherwise useful information because of how it would feel to receive it, such as not going to the doctor because they don’t want to receive bad news or have to act on it (Golman & Lowenstein, 2018).
People also tend to procrastinate on making decisions because they anticipate regretting what they will decide (Han, Quadfleig, & Ludwig, 2022), and even hope for worse news when it would mean that they then wouldn’t have to make a difficult decision (Barasz & Hagerty, 2021). Similarly, the sunk cost fallacy, in which someone continues on a course of action despite it being a better decision to switch, is partly due to avoiding the negative affect that comes with acknowledging one’s losses or admitting one was wrong (Dijkstra & Hong, 2019; Wong & Kwong, 2007).
Interestingly, although many of the affect management strategies people employ are intended to reduce negative affect, the concept also extends to behaviors that maximize positive affect. For example, a meta-analysis on emotional eating by Cardi, Leppanen, and Treasure (2015) found that it is done both to repair negative moods and enhance positive ones. This idea is consistent with the Ecological Psychology concept of both needing to escape threats and pursue affordances in the environment in order to survive (Withagen, 2022).
Affect Management Is Multifaceted and Contextual
It is multifaceted in that it operates as a common evaluative currency for decisions and experiences that integrate different senses of the world (e.g., both reading a book and listening to music can have similar affective impact, although they involve different senses). Further highlighting its multifaceted nature, Asutay & Vjästfäll (2024) make the case that affect can serve as a source of information, a director of attention, as well as a source of motivation to take particular actions.
Affect is contextual in that it depends on a host of factors that are happening in that moment, as well as the person’s relevant history (Higgins, 2012). For example, Asutay, Genevsky, Hamilton, and Vjästfäll (2022) found “clear behavioral evidence that momentary affect is a temporally dependent and continuous process, which reflects the affective impact of recent input variables and the previous internal state and that this process is sensitive to the affective context and its uncertainty.”
Affective Trade-Offs
Rather than a single affective value being sought at all moments, the AMF highlights the interplay of a set of elements that can collectively help explain a broad range of affective phenomena and their influence on decision-making.
This is underscored by research on how people will trade one affective domain for another, including:
- undergoing pain in exchange for certainty (Bode et al., 2023);
- maintaining uncertainty rather than learning negative information (Golman & Lowenstein, 2018);
- undergoing pain in order to prevent mind-wandering (Wilson et al., 2014);
- worse outcomes in exchange for agency (Bobadilla-Suarez et al., 2017; Karsh & Eitam, 2015; Owens et al., 2014);
- continued hypervigilance in exchange for agency in PTSD (Resick, Monson, & Chard, 2024);
- hoping for worse outcomes to prevent agency (Barasz & Hagerty, 2021);
- abusive behavior in order to repair negative emotional states (LaMotte et al., 2025);
- and maintaining typically unpleasant emotional states for their utility with instrumental goals (Hackenbracht & Tamir, 2010; Tamir et al., 2008; Tamir & Ford, 2009).
References
Asutay, E., Genevsky, A., Hamilton, J. P., & Västfjäll, D. (2022). Affective context and its uncertainty drive momentary affective experience. Emotion, 22(6), 1336-1346. https://doi.org/10.1037/emo0000912
Asutay, E., & Västfjäll, D. (2024). Affective integration in experience, judgment, and decision-making. Communications Psychology, 2(1), 126. https://doi.org/10.1038/s44271-024-00178-2
Barasz, K., & Hagerty, S. F. (2021). Hoping for the worst? A paradoxical preference for bad news. Journal of Consumer Research, 48(2), 270-288. https://doi.org/10.1093/jcr/ucab004
Bobadilla-Suarez, S., Sunstein, C. R., & Sharot, T. (2017). The intrinsic value of choice: The propensity to under-delegate in the face of potential gains and losses. Journal of Risk and Uncertainty, 54, 187-202. https://doi.org/10.1007/s11166-017-9259-x
Bode, S., Sun, X., Jiwa, M., Cooper, P. S., Chong, T. T. J., & Egorova-Brumley, N. (2023). When knowledge hurts: Humans are willing to receive pain for obtaining non-instrumental information. Proceedings of the Royal Society B, 290(2002), 20231175. https://doi.org/10.1098/rspb.2023.1175
Cardi, V., Leppanen, J., & Treasure, J. (2015). The effects of negative and positive mood induction on eating behaviour: A meta-analysis of laboratory studies in the healthy population and eating and weight disorders. Neuroscience & Biobehavioral Reviews, 57, 299-309. https://doi.org/10.1016/j.neubiorev.2015.08.011
Chitraranjan, C., & Botenne, C. (2024). Association between anticipated affect and behavioral intention: A meta-analysis. Current Psychology, 43(2), 1929-1942. https://doi.org/10.1007/s12144-023-04383-w
DeWall, C. N., Baumeister, R. F., Chester, D. S., & Bushman, B. J. (2016). How often does currently felt emotion predict social behavior and judgment? A meta-analytic test of two theories. Emotion Review, 8(2), 136-143. https://doi.org/10.1177/1754073915572690
Dijkstra, K. A., & Hong, Y. Y. (2019). The feeling of throwing good money after bad: The role of affective reaction in the sunk-cost fallacy. PloS one, 14(1), e0209900. https://doi.org/10.1371/journal.pone.0209900
Golman, R., & Loewenstein, G. (2018). Information gaps: A theory of preferences regarding the presence and absence of information. Decision, 5(3), 143–164. https://doi.org/10.1037/dec0000068
Hackenbracht, J., & Tamir, M. (2010). Preferences for sadness when eliciting help: Instrumental motives in sadness regulation. Motivation and Emotion, 34, 306-315. https://doi.org/10.1007/s11031-010-9180-y
Han, Q., Quadflieg, S., & Ludwig, C. J. (2023). Decision avoidance and post-decision regret: a systematic review and meta-analysis. Plos one, 18(10), e0292857. https://doi.org/10.1371/journal.pone.0292857
Haynes-LaMotte, A. D. (2025). Affect is the evaluative context for the brain’s shifting goals. Adaptive Behavior, 0(0),1 – 24. https://doi.org/10.1177/10597123251379013
Higgins, E. T. (2012). Beyond pleasure and pain: How motivation works. Oxford University Press.
Karsh, N., & Eitam, B. (2015). I control therefore I do: Judgments of agency influence action selection. Cognition, 138, 122-131. https://doi.org/10.1016/j.cognition.2015.02.002
Kermer, D. A., Driver-Linn, E., Wilson, T. D., & Gilbert, D. T. (2006). Loss aversion is an affective forecasting error. Psychological Science, 17(8), 649–653. https://doi.org/10.1111/j.1467-9280.2006.01760.x
Owens, D., Grossman, Z., & Fackler, R. (2014). The control premium: A preference for payoff autonomy. American Economic Journal: Microeconomics, 6(4), 138-161. https://doi.org/10.1257/mic.6.4.138
Resick, P. A., Monson, C. M., & Chard, K. M. (2024). Cognitive processing therapy for PTSD: A comprehensive therapist manual (2nd ed.). The Guilford Press.
Slovic, P., Peters, E., Finucane, M. L., & MacGregor, D. G. (2005). Affect, risk, and decision making. Health Psychology, 24(4S), S35. https://doi.org/10.1037/0278-6133.24.4.S35.
Tamir, M., & Ford, B. Q. (2009). Choosing to be afraid: Preferences for fear as a function of goal pursuit. Emotion, 9(4), 488–497. https://doi.org/10.1037/a0015882
Tamir, M., Mitchell, C., & Gross, J. J. (2008). Hedonic and instrumental motives in anger regulation. Psychological Science, 19(4), 324–328. https://doi.org/10.1111/j.1467-9280.2008.02088.x
Wilson, T. D., & Gilbert, D. T. (2005). Affective forecasting: Knowing what to want. Current directions in psychological science, 14(3), 131-134. https://doi.org/10.1111/j.0963-7214.2005.00355.x
Wilson, T. D., Reinhard, D. A., Westgate, E. C., Gilbert, D. T., Ellerbeck, N., Hahn, C., ... & Shaked, A. (2014). Just think: The challenges of the disengaged mind. Science, 345(6192), 75-77. https://doi.org/10.1126/science.1250830
Withagen, R. (2022). Affective gibsonian psychology. Routledge.
Wong, K. F. E., & Kwong, J. Y. Y. (2007). The role of anticipated regret in escalation of commitment. Journal of Applied Psychology, 92(2), 545–554. https://doi.org/10.1037/0021-9010.92.2.545
