Does effort increase or decrease reward valuation? Considerations from cognitive dissonance theory.
EEG/ERP
cognitive dissonance theory
effort discounting
effort justification
perceived control
reward positivity (RewP)
Journal
Psychophysiology
ISSN: 1540-5958
Titre abrégé: Psychophysiology
Pays: United States
ID NLM: 0142657
Informations de publication
Date de publication:
07 Feb 2024
07 Feb 2024
Historique:
revised:
18
12
2023
received:
29
06
2023
accepted:
22
01
2024
medline:
7
2
2024
pubmed:
7
2
2024
entrez:
7
2
2024
Statut:
aheadofprint
Résumé
The present research tested the effect of manipulated perceived control (over obtaining the outcomes) and effort on reward valuation using the event-related potential known as the Reward Positivity (RewP). This test was conducted in an attempt to integrate two research literatures with opposite findings: Effort justification occurs when high effort leads to high reward valuation, whereas effort discounting occurs when high effort leads to low reward valuation. Based on an examination of past methods used in these literatures, we predicted that perceived control and effort would interactively influence RewP. Consistent with the effort justification literature (cognitive dissonance theory), when individuals have high perceived control, high effort should lead to more reward valuation than low effort should. Consistent with the effort discounting literature, when individuals have low perceived control, low effort should lead to more reward valuation than high effort should. Results supported these interactive and integrative predictions.
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
e14536Subventions
Organisme : Australian Research Council
ID : DP180102504
Informations de copyright
© 2024 The Authors. Psychophysiology published by Wiley Periodicals LLC on behalf of Society for Psychophysiological Research.
Références
Alessandri, J., Darcheville, J. C., & Zentall, T. R. (2008). Cognitive dissonance in children: Justification of effort or contrast? Psychonomic Bulletin & Review, 15(3), 673-677. https://doi.org/10.3758/PBR.15.3.673
Angus, D. J., Kemkes, K., Schutter, D. J., & Harmon-Jones, E. (2015). Anger is associated with reward-related electrocortical activity: Evidence from the reward positivity. Psychophysiology, 52(10), 1271-1280. https://doi.org/10.1111/psyp.12460
Angus, D. J., Latham, A. J., Harmon-Jones, E., Deliano, M., Balleine, B., & Braddon-Mitchell, D. (2017). Electrocortical components of anticipation and consumption in a monetary incentive delay task. Psychophysiology, 54, 1686-1705. https://doi.org/10.1111/psyp.12913
Aronson, E., & Mills, J. (1959). The effect of severity of initiation on liking for a group. The Journal of Abnormal and Social Psychology, 59(2), 177-181. https://doi.org/10.1037/h0047195
Axsom, D. (1989). Cognitive dissonance and behavior change in psychotherapy. Journal of Experimental Social Psychology, 25(3), 234-252. https://doi.org/10.1016/0022-1031(89)90021-8
Axsom, D., & Cooper, J. (1985). Cognitive dissonance and psychotherapy: The role of effort justification in inducing weight loss. Journal of Experimental Social Psychology, 21(2), 149-160. https://doi.org/10.1016/0022-1031(85)90012-5
Becker, M. P., Nitsch, A. M., Miltner, W. H., & Straube, T. (2014). A single-trial estimation of the feedback-related negativity and its relation to BOLD responses in a time-estimation task. Journal of Neuroscience, 34(8), 3005-3012. https://doi.org/10.1523/JNEUROSCI.3684-13.2014
Botvinick, M. M., Huffstetler, S., & McGuire, J. T. (2009). Effort discounting in human nucleus accumbens. Cognitive, Affective, & Behavioral Neuroscience, 9(1), 16-27. https://doi.org/10.3758/CABN.9.1.16
Bowyer, C., Brush, C., Threadgill, H., Harmon-Jones, E., Treadway, M., Patrick, C., & Hajcak, G. (2021). The effort-doors task: A novel approach for examining the temporal dynamics of effort-based reward processing using ERPs. NeuroImage, 228, 117656. https://doi.org/10.1016/j.neuroimage.2020.117656
Bress, J. N., & Hajcak, G. (2013). Self-report and behavioral measures of reward sensitivity predict the feedback negativity. Psychophysiology, 50(7), 610-616. https://doi.org/10.1111/psyp.12053
Carlson, J. M., Foti, D., Harmon-Jones, E., & Proudfit, G. H. (2015). Midbrain volume predicts fMRI and ERP measures of reward reactivity. Brain Structure and Function, 220(3), 1861-1866. https://doi.org/10.1007/s00429-014-0725-9
Carlson, J. M., Foti, D., Mujica-Parodi, L. R., Harmon-Jones, E., & Hajcak, G. (2011). Ventral striatal and medial prefrontal BOLD activation is correlated with reward-related electrocortical activity: A combined ERP and fMRI study. NeuroImage, 57(4), 1608-1616. https://doi.org/10.1016/j.neuroimage.2011.05.037
Chong, T. T. J., Apps, M., Giehl, K., Sillence, A., Grima, L. L., & Husain, M. (2017). Neurocomputational mechanisms underlying subjective valuation of effort costs. PLoS Biology, 15(2), e1002598. https://doi.org/10.1371/journal.pbio.1002598
Cooper, A. J., Duke, É., Pickering, A. D., & Smillie, L. D. (2014). Individual differences in reward prediction error: Contrasting relations between feedback-related negativity and trait measures of reward sensitivity, impulsivity and extraversion. Frontiers in Human Neuroscience, 8. https://doi.org/10.3389/fnhum.2014.00248
Czaczkes, T. J., Brandstetter, B., di Stefano, I., & Heinze, J. (2018). Greater effort increases perceived value in an invertebrate. Journal of Comparative Psychology, 132(2), 200-209.
Dien, J. (2010). The ERP PCA Toolkit: An open source program for advanced statistical analysis of event-related potential data. Journal of Neuroscience Methods, 187(1), 138-145. https://doi.org/10.1016/j.jneumeth.2009.12.009
Festinger, L. (1957). A theory of cognitive dissonance. Stanford University Press.
Forster, K. I., & Forster, J. C. (2003). DMDX: A Windows display program with millisecond accuracy. Behavior Research Methods, Instruments, & Computers, 35, 116-124. https://doi.org/10.3758/BF03195503
Foti, D., & Hajcak, G. (2009). Depression and reduced sensitivity to non-rewards versus rewards: Evidence from event-related potentials. Biological Psychology, 81, 1-8. https://doi.org/10.1016/j.biopsycho.2008.12.004
Foti, D., & Hajcak, G. (2010). State sadness reduces neural sensitivity to nonrewards versus rewards. Neuroreport, 21(2), 143-147. https://doi.org/10.1097/WNR.0b013e3283356448
Foti, D., Hajcak, G., & Dien, J. (2009). Differentiating neural responses to emotional pictures: Evidence from temporal-spatial PCA. Psychophysiology, 46(3), 521-530. https://doi.org/10.1111/j.1469-8986.2009.00796.x
Foti, D., Weinberg, A., Dien, J., & Hajcak, G. (2011). Event-related potential activity in the basal ganglia differentiates rewards from nonrewards: Temporospatial principal components analysis and source localization of the feedback negativity. Human Brain Mapping, 32(12), 2207-2216. https://doi.org/10.1002/hbm.21182
Friedrich, A. M., & Zentall, T. R. (2004). Pigeons shift their preference toward locations of food that take more effort to obtain. Behavioural Processes, 67(3), 405-415. https://doi.org/10.1016/j.beproc.2004.07.001
Gerard, H. B., & Mathewson, G. C. (1966). The effects of severity of initiation on liking for a group: A replication. Journal of Experimental Social Psychology, 2(3), 278-287. https://doi.org/10.1016/0022-1031(66)90084-9
Gratton, G., Coles, M. G., & Donchin, E. (1983). A new method for off-line removal of ocular artifact. Electroencephalography and Clinical Neurophysiology, 55(4), 468-484. https://doi.org/10.1016/0013-4694(83)90135-9
Harmon-Jones, E. (2017). Clarifying concepts in cognitive dissonance theory. Animal Sentience, 1(12), 5.
Harmon-Jones, E. (2019). Cognitive Dissonance: Re-examining a pivotal theory in psychology (2nd ed.). American Psychological Association. https://doi.org/10.1037/0000135-000
Harmon-Jones, E., Amodio, D. M., & Harmon-Jones, C. (2009). Action-based model of dissonance: A review, integration, and expansion of conceptions of cognitive conflict. In M. P. Zanna (Ed.), Advances in experimental social psychology (Vol. 41, pp. 119-166). Academic Press. https://doi.org/10.1016/S0065-2601(08)00403-6
Harmon-Jones, E., Amodio, D. M., & Zinner, L. R. (2007). Social psychological methods in emotion elicitation. In J. A. Coan & J. J. B. Allen (Eds.), Handbook of emotion elicitation and assessment (pp. 91-105). Oxford University Press.
Harmon-Jones, E., Clarke, D., Paul, K., & Harmon-Jones, C. (2020). The effect of perceived effort on reward valuation: Taking the reward positivity (RewP) to dissonance theory. Frontiers in Human Neuroscience, 14. https://doi.org/10.3389/fnhum.2020.00157
Harmon-Jones, E., & Harmon-Jones, C. (2008). Action-based model of dissonance: A review of behavioral, anterior cingulate, and prefrontal cortical mechanisms. Social and Personality Psychology Compass, 2(3), 1518-1538. https://doi.org/10.1111/j.1751-9004.2008.00110.x
Harmon-Jones, E., & Harmon-Jones, C. (2019). Understanding the motivation underlying dissonance effects: The action-based model. In E. Harmon-Jones (Ed.), Cognitive dissonance: Reexamining a pivotal theory in psychology (2nd ed., pp. 63-89). American Psychological Association.
Harmon-Jones, E., Harmon-Jones, C., & Levy, N. (2015). An action-based model of cognitive dissonance processes. Current Directions in Psychological Science, 24, 184-189.
Harmon-Jones, E., & Mills, J. (1999). An introduction to cognitive dissonance theory and an overview of current perspectives on the theory. In E. Harmon-Jones & J. Mills (Eds.), Cognitive dissonance: Progress on a pivotal theory in social psychology (pp. 3-21). American Psychological Association. https://doi.org/10.1037/10318-001
Harmon-Jones, E., Price, T. F., & Harmon-Jones, C. (2015). Supine body posture decreases rationalizations: Testing the action-based model of dissonance. Journal of Experimental Social Psychology, 56, 228-234. https://doi.org/10.1016/j.jesp.2014.10.007
Harmon-Jones, E., & Sun, C.-K. (2021). A supine body posture reduces the error-related negativity: A test of a dissonance theory prediction. Motivation Science, 7(4), 375-385. https://doi.org/10.1037/mot0000232
Harmon-Jones, E., Willoughby, C., Paul, K., & Harmon-Jones, C. (2020). The effect of perceived effort and perceived control on reward valuation: Using the reward positivity to test a dissonance theory prediction. Biological Psychology, 154, 107910. https://doi.org/10.1016/j.biopsycho.2020.107910
Kitayama, S., & Tompson, S. (2015). A biosocial model of affective decision making: Implications for dissonance, motivation, and culture. In Advances in experimental social psychology (Vol. 52, pp. 71-137). Academic Press. https://doi.org/10.1016/bs.aesp.2015.04.001
Kivetz, R. (2003). The effects of effort and intrinsic motivation on risky choice. Marketing Science, 22(4), 477-502. https://doi.org/10.1287/mksc.22.4.477.24911
Krigolson, O. E. (2018). Event-related brain potentials and the study of reward processing: Methodological considerations. International Journal of Psychophysiology, 132, 175-183. https://doi.org/10.1016/j.ijpsycho.2017.11.007
Lange, S., Leue, A., & Beauducel, A. (2012). Behavioral approach and reward processing: Results on feedback-related negativity and P3 component. Biological Psychology, 89(2), 416-425.
Lawrence, D. H., & Festinger, L. (1962). Deterrents and reinforcement: The psychology of insufficient reward. Stanford University Press.
Luck, S. J. (2014). An introduction to the event-related potential technique (2nd ed.). MIT Press.
Luck, S. J., & Gaspelin, N. (2017). How to get statistically significant effects in any ERP experiment (and why you shouldn't). Psychophysiology, 54(1), 146-157. https://doi.org/10.1111/psyp.12639
Luking, K. R., Nelson, B. D., Infantolino, Z. P., Sauder, C. L., & Hajcak, G. (2017). Internal consistency of functional magnetic resonance imaging and electroencephalography measures of reward in late childhood and early adolescence. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 2(3), 289-297. https://doi.org/10.1016/j.bpsc.2016.12.004
Lydall, E. S., Gilmour, G., & Dwyer, D. M. (2010). Rats place greater value on rewards produced by high effort: An animal analogue of the “effort justification” effect. Journal of Experimental Social Psychology, 46(6), 1134-1137. https://doi.org/10.1016/j.jesp.2010.05.011
Mühlberger, C., Angus, D. J., Jonas, E., Harmon-Jones, C., & Harmon-Jones, E. (2017). Perceived control increases the reward positivity and stimulus preceding negativity. Psychophysiology, 54(2), 310-322. https://doi.org/10.1111/psyp.12786
Norton, M. I., Mochon, D., & Ariely, D. (2012). The IKEA effect: When labor leads to love. Journal of Consumer Psychology, 22(3), 453-460. https://doi.org/10.1016/j.jcps.2011.08.002
Polich, J. (2007). Updating P300: An integrative theory of P3a and P3b. Clinical Neurophysiology, 118(10), 2128-2148. https://doi.org/10.1016/j.clinph.2007.04.019
Proudfit, G. H. (2015). The reward positivity: From basic research on reward to a biomarker for depression. Psychophysiology, 52(4), 449-459. https://doi.org/10.1111/psyp.12370
Sambrook, T. D., & Goslin, J. (2015). A neural reward prediction error revealed by a meta-analysis of ERPs using great grand averages. Psychological Bulletin, 141(1), 213-235. https://doi.org/10.1037/bul0000006
Smillie, L. D., Cooper, A. J., & Pickering, A. D. (2011). Individual differences in reward-prediction-error: Extraversion and feedback- related negativity. Social Cognitive and Affective Neuroscience, 6, 646-652. https://doi.org/10.1093/scan/nsq078
Sun, C.-K., & Harmon-Jones, E. (2021). Supine body posture reduces cognitive conflict processing: Evidence from N450 Stroop interference. Psychophysiology, e13693, e13693. https://doi.org/10.1111/psyp.13693
Threadgill, A. H., & Gable, P. A. (2016). Approach-motivated pregoal states enhance the reward positivity. Psychophysiology, 53, 733-738. https://doi.org/10.1111/psyp.12611
Treadway, M. T., Buckholtz, J. W., Schwartzman, A. N., Lambert, W. E., & Zald, D. H. (2009). Worth the ‘EEfRT’? The effort expenditure for rewards task as an objective measure of motivation and anhedonia. PLoS One, 4(8), e6598. https://doi.org/10.1371/journal.pone.0006598
Tsypes, A., Angus, D. J., Martin, S., Kemkes, K., & Harmon-Jones, E. (2019). Trait anger and the reward positivity. Personality and Individual Differences, 144, 24-30. https://doi.org/10.1016/j.paid.2019.02.030
Walster, E. H., Walster, G. W., & Berscheid, E. (1978). Equity: Theory and research. Allyn & Bacon.
Walton, M. E., Kennerley, S. W., Bannerman, D. M., Phillips, P. E. M., & Rushworth, M. F. (2006). Weighing up the benefits of work: Behavioral and neural analyses of effort-related decision making. Neural Networks, 19(8), 1302-1314. https://doi.org/10.1016/j.neunet.2006.03.005
Wright, R. A., Shaw, L. L., & Jones, C. R. (1990). Task demand and cardiovascular response magnitude: Further evidence of the mediating role of success importance. Journal of Personality and Social Psychology, 59(6), 1250-1260. https://doi.org/10.1037/0022-3514.59.6.1250
Wright, R. A., Tunstall, A. M., Williams, B. J., Goodwin, J. S., & Harmon-Jones, E. (1995). Social evaluation and cardiovascular response: An active coping approach. Journal of Personality and Social Psychology, 69(3), 530-543. https://doi.org/10.1037/0022-3514.69.3.530
Zentall, T. R. (2016). Cognitive dissonance or contrast? Animal Sentience, 2016, 142.
Zentall, T. R., & Singer, R. A. (2007). Within-trial contrast: Pigeons prefer conditioned reinforcers that follow a relatively more rather than less aversive event. Journal of the Experimental Analysis of Behavior, 88, 131-149. https://doi.org/10.1901/jeab.2007.27-06