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Dissociable Effects of Pro-Self and Prosocial Effort on Reward Dynamics: A Habituation Perspective
Shi Hongqiao, Zhang Xi, You Yuxuan, Chen Xuhai, Luo Yangmei
Journal of Psychological Science ›› 2026, Vol. 49 ›› Issue (4) : 809-821.
PDF(2606 KB)
PDF(2606 KB)
Dissociable Effects of Pro-Self and Prosocial Effort on Reward Dynamics: A Habituation Perspective
In daily life, individuals exert efforts in pursuit of diverse rewarding objectives. Such efforts can be categorized as either self-directed (pro-self efforts) or others/society-directed (prosocial efforts). Prosocial behaviors, which entail expending efforts for the welfare of others, hold a significant position within the realm of human moral conduct and are of crucial importance for human well-being and the sound progress of society. However, the majority of prior research has primarily focused on the impact of pro-self efforts on reward processing, with less attention given to how prosocial efforts influence this process. Furthermore, the manner in which the reward value associated with prosocial efforts dynamically evolves over time remains unclear. The present study employed the effort-door task, integrated with event-related potential (ERP) technology, to examine the impact of pro-self and prosocial effort on the habituation of reward processing at different stages (i.e., “anticipation” and “consumption”).
The study included 42 participants and adopted a 2 (effort type: pro-self vs. prosocial) × 2 (effort level: high vs. low) within-subjects design. Pro-self effort was defined as the effort exerted to win money for oneself, whereas prosocial effort referred to the effort exerted to win money for a charity. Effort level was manipulated via the required number of key presses. To examine the neural dynamics of reward processing, we employed Cue-P3 and reward positivity (RewP) as neural correlates of reward anticipation and consumption, respectively. Each trial began with a 1000 ms fixation cross, followed by a lock icon and the required number of key presses. Participants used the pinky finger of their non-dominant hand to press the "H" key until the required effort was completed, at which point the lock icon turned into an unlocked symbol. Then, two identical doors appeared on the screen, from which participants selected one to receive feedback. Feedback was presented as either a green upward arrow (indicating a gain of 1 yuan) or a red downward arrow (indicating a loss of.5 yuan), each with a 50% probability.
Considering the nested nature of the data, we used 4 multilevel linear models (MLM) to examine the effects of effort type and effort level on reward anticipation and consumption habituation. A multilevel linear model for Cue-P3 revealed a significant main effect of effort level (B = -.66, SE=.32, t(574) = -2.06, p <.05), with higher amplitudes under high effort. No other main effects or interactions were significant. For RewP, a significant three-way interaction emerged (B = -.18, SE =.09, t(2613) = -2.05, p <.05). Specifically, for pro-self effort, the main effect of effort level (B = 1.67, SE =.70, t(301) = 2.39, p <.05) and its interaction with trial number (B = -.20, SE=.06, t(1262) = -3.25, p <.01) were significant. Simple slope analysis showed no trial effect under high pro-self effort(B=.06, SE =.05, t(103) = 1.15, p >.05), but a significant decrease under low pro-self effort(B= -.14, SE =.05, t(95.3) = -2.90, p <.01). For prosocial effort, only a significant main effect of trial number was found (B= -.11, SE =.04, t(980) = -2.65, p <.01), with no other significant effects (the main effect of effort level: B=.52, SE =.68, t(1277) =.77, p >.05; the interaction between effort level and trial: B = -.02, SE =.06, t(1304)= -.33, p >.05).
These findings demonstrate that both pro-self and prosocial efforts enhance reward anticipation, but do not influence its habituation process. Moreover, pro-self effort slows down the habituation of pleasure derived from rewards in the reward consumption phase, whereas prosocial effort does not affect this process. This indicates a dissociation between the aftereffects of pro-self and prosocial efforts on reward consumption habituation but not on reward anticipation habituation. The research expands our understanding of the temporal dynamics of reward value driven by different motivations. It also holds significant implications for understanding how humans perceive and adapt to rewards under various motivational drives..
pro-self effort / prosocial effort / reward anticipation / reward consumption / habituation
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We have developed a toolbox and graphic user interface, EEGLAB, running under the crossplatform MATLAB environment (The Mathworks, Inc.) for processing collections of single-trial and/or averaged EEG data of any number of channels. Available functions include EEG data, channel and event information importing, data visualization (scrolling, scalp map and dipole model plotting, plus multi-trial ERP-image plots), preprocessing (including artifact rejection, filtering, epoch selection, and averaging), independent component analysis (ICA) and time/frequency decompositions including channel and component cross-coherence supported by bootstrap statistical methods based on data resampling. EEGLAB functions are organized into three layers. Top-layer functions allow users to interact with the data through the graphic interface without needing to use MATLAB syntax. Menu options allow users to tune the behavior of EEGLAB to available memory. Middle-layer functions allow users to customize data processing using command history and interactive 'pop' functions. Experienced MATLAB users can use EEGLAB data structures and stand-alone signal processing functions to write custom and/or batch analysis scripts. Extensive function help and tutorial information are included. A 'plug-in' facility allows easy incorporation of new EEG modules into the main menu. EEGLAB is freely available (http://www.sccn.ucsd.edu/eeglab/) under the GNU public license for noncommercial use and open source development, together with sample data, user tutorial and extensive documentation.
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Civil societies function because people pay taxes and make charitable contributions to provide public goods. One possible motive for charitable contributions, called "pure altruism," is satisfied by increases in the public good no matter the source or intent. Another possible motive, "warm glow," is only fulfilled by an individual's own voluntary donations. Consistent with pure altruism, we find that even mandatory, tax-like transfers to a charity elicit neural activity in areas linked to reward processing. Moreover, neural responses to the charity's financial gains predict voluntary giving. However, consistent with warm glow, neural activity further increases when people make transfers voluntarily. Both pure altruism and warm-glow motives appear to determine the hedonic consequences of financial transfers to the public good.
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Eudaimonic well-being-a sense of purpose, meaning, and engagement with life-is protective against psychopathology and predicts physical health, including lower levels of the stress hormone cortisol. Although it has been suggested that the ability to engage the neural circuitry of reward may promote well-being and mediate the relationship between well-being and health, this hypothesis has remained untested. To test this hypothesis, we had participants view positive, neutral, and negative images while fMRI data were collected. Individuals with sustained activity in the striatum and dorsolateral prefrontal cortex to positive stimuli over the course of the scan session reported greater well-being and had lower cortisol output. This suggests that sustained engagement of reward circuitry in response to positive events underlies well-being and adaptive regulation of the hypothalamic-pituitary-adrenal axis.
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Altruistic behavior, i.e., promoting the welfare of others at a cost to oneself, is subserved by the integration of various social, affective, and economic factors represented in extensive brain regions. However, it is unclear how different regions interact to process/integrate information regarding the helper's interest and recipient's need when deciding whether to behave altruistically. Here we combined an interactive game with functional Magnetic Resonance Imaging (fMRI) and transcranial direct current stimulation (tDCS) to characterize the neural network underlying the processing/integration of self-interest and other-need. At the behavioral level, high self-risk decreased helping behavior and high other-need increased helping behavior. At the neural level, activity in medial prefrontal cortex (MPFC) and right dorsolateral prefrontal cortex (rDLPFC) were positively associated with self-risk levels, and activity in right inferior parietal lobe (rIPL) and rDLPFC were negatively associated with other-need levels. Dynamic causal modeling further suggested that both MPFC and rIPL were extrinsically connected to rDLPFC; high self-risk enhanced the effective connectivity from MPFC to rDLPFC, and the modulatory effect of other-need on the connectivity from rIPL to rDLPFC positively correlated with the modulatory effect of other-need on individuals' helping rate. Two tDCS experiments provided causal evidence that rDLPFC affects both self-interest and other-need concerns, and rIPL selectively affects the other-need concerns. These findings suggest a crucial role of the MPFC-IPL-DLPFC network during altruistic decision-making, with rDLPFC as a central node for integrating and modulating motives regarding self-interest and other-need.Copyright © 2017. Published by Elsevier Inc.
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According to prominent models in cognitive psychology, neuroscience, and economics, effort (be it physical or mental) is costly: when given a choice, humans and non-human animals alike tend to avoid effort. Here, we suggest that the opposite is also true and review extensive evidence that effort can also add value. Not only can the same outcomes be more rewarding if we apply more (not less) effort, sometimes we select options precisely because they require effort. Given the increasing recognition of effort's role in motivation, cognitive control, and value-based decision-making, considering this neglected side of effort will not only improve formal computational models, but also provide clues about how to promote sustained mental effort across time.Copyright © 2018 Elsevier Ltd. All rights reserved.
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Why does performing certain tasks cause the aversive experience of mental effort and concomitant deterioration in task performance? One explanation posits a physical resource that is depleted over time. We propose an alternative explanation that centers on mental representations of the costs and benefits associated with task performance. Specifically, certain computational mechanisms, especially those associated with executive function, can be deployed for only a limited number of simultaneous tasks at any given moment. Consequently, the deployment of these computational mechanisms carries an opportunity cost--that is, the next-best use to which these systems might be put. We argue that the phenomenology of effort can be understood as the felt output of these cost/benefit computations. In turn, the subjective experience of effort motivates reduced deployment of these computational mechanisms in the service of the present task. These opportunity cost representations, then, together with other cost/benefit calculations, determine effort expended and, everything else equal, result in performance reductions. In making our case for this position, we review alternative explanations for both the phenomenology of effort associated with these tasks and for performance reductions over time. Likewise, we review the broad range of relevant empirical results from across sub-disciplines, especially psychology and neuroscience. We hope that our proposal will help to build links among the diverse fields that have been addressing similar questions from different perspectives, and we emphasize ways in which alternative models might be empirically distinguished.
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This study aimed at examining how social distance modulates costly prosocial behaviors in the gain (i.e., helping another win a good outcome) and loss contexts (i.e., helping another avoid a bad outcome). To this end, participants were instructed to choose between two lotteries - One of the two lotteries was costly to their payment and always better than the other, which would result in the other person having a greater chance of ending up with more money - to give another person (a friend or a stranger) in the gain or loss context while electroencephalograms (EEGs) were recorded. The behavioral results demonstrated that in the gain context, participants tended to choose better lotteries to win money for friends than for strangers, whereas this effect of social distance was absent in the loss context. The event-related potential (ERP) results showed that in the gain context, a larger P3 was observed in response to prosocial decision-making for friends than for strangers, while the effect of social distance did not emerge in P3 under the loss context. These findings suggest that the modulation of social distance in prosocial behaviors under the gain and loss contexts is driven by different psychological mechanisms.Copyright © 2020 Elsevier B.V. All rights reserved.
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Reward or pleasure can be achieved from a hedonic approach (pleasure attainment) or eudaimonic approach (meaning and self-realization). However, the neurodynamics of hedonic and eudaimonic reward processing remain unclear. By operationalizing hedonic reward as "win money for oneself" and eudaimonic reward as "win money for charity", the current study used the monetary incentive delay task to parse hedonic and eudaimonic reward dynamics into the anticipatory and consummatory stages while event-related potentials (ERPs) were recorded. 24 participants (12 women) were recruited in this study. The results showed that in the anticipatory stage, the amplitudes evoked by hedonic and eudaimonic reward did not differ during early cue recognition (P2, N2), but they separated during late cue elaboration (cue-P3). In the consummatory stage, hedonic reward elicited a larger FRN effect, but eudaimonic reward elicited a larger fb-P3 effect. In addition, we also used the neural indices of hedonic and eudaimonic reward processing to predict participants' longitudinal changes in well-being (depression and positive emotion) across 6 months as exploratory in nature. Preliminary regression evidence suggested that greater differential amplitude of cue-P3 elicited by eudaimonic reward anticipation versus neutral anticipation positively predicted longitudinal increases in positive emotion. The findings elucidated specific substages of hedonic and eudaimonic reward processing and explored their potential roles in longitudinal changes in well-being.Copyright © 2018 Elsevier B.V. All rights reserved.
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People adapt to repeated getting. The happiness we feel from eating the same food, from earning the same income, and from many other experiences quickly decreases as repeated exposure to an identical source of happiness increases. In two preregistered experiments ( N = 615), we examined whether people also adapt to repeated giving-the happiness we feel from helping other people rather than ourselves. In Experiment 1, participants spent a windfall for 5 days ($5.00 per day on the same item) on themselves or another person (the same one each day). In Experiment 2, participants won money in 10 rounds of a game ($0.05 per round) for themselves or a charity of their choice (the same one each round). Although getting elicited standard adaptation (happiness significantly declined), giving did not grow old (happiness did not significantly decline; Experiment 1) and grew old more slowly than equivalent getting (happiness declined at about half the rate; Experiment 2). Past research suggests that people are inevitably quick to adapt in the absence of change. These findings suggest otherwise: The happiness we get from giving appears to sustain itself.
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Current research on prosocial behavior covers a broad and diverse range of phenomena. We argue that this large research literature can be best organized and understood from a multilevel perspective. We identify three levels of analysis of prosocial behavior: (a) the "meso" level--the study of helper-recipient dyads in the context of a specific situation; (b) the micro level--the study of the origins of prosocial tendencies and the sources of variation in these tendencies; and (c) the macro level--the study of prosocial actions that occur within the context of groups and large organizations. We present research at each level and discuss similarities and differences across levels. Finally, we consider ways in which theory and research at these three levels of analysis might be combined in future intra- and interdisciplinary research on prosocial behavior.
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The anticipation of favourable or unfavourable events is a key component in our daily life. However, the temporal dynamics of anticipation processes in relation to brain activation are still not fully understood. A modified version of the monetary incentive delay task was administered during separate functional magnetic resonance imaging (fMRI) and electroencephalogram (EEG) sessions in the same 25 participants to assess anticipatory processes with a multi-modal neuroimaging set-up. During fMRI, gain and loss anticipation were both associated with heightened activation in ventral striatum and reward-related areas. EEG revealed most pronounced P300 amplitudes for gain anticipation, whereas CNV amplitudes distinguished neutral from gain and loss anticipation. Importantly, P300, but not CNV amplitudes, were correlated to neural activation in the ventral striatum for both gain and loss anticipation. Larger P300 amplitudes indicated higher ventral striatum blood oxygen level dependent (BOLD) response. Early stimulus evaluation processes indexed by EEG seem to be positively related to higher activation levels in the ventral striatum, indexed by fMRI, which are usually associated with reward processing. The current results, however, point towards a more general motivational mechanism processing salient stimuli during anticipation. Copyright © 2014. Published by Elsevier Inc.
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Task motivation depends on what we did before. A recent theory differentiates between tasks that we want to do and tasks that we have to do. After a have-to task, motivation shifts towards a want-to task. We measured this shift of motivation via brain responses to monetary feedback in a risk game that was used as want-to task in our study. We tested 20 healthy participants that were about 28 years old in a within-subjects design. Participants worked on a Stroop task (have-to task) or an easier version of the Stroop task as a control condition and played a risk game afterwards (want-to task). After the Stroop task, brain responses to monetary feedback in the risk game were larger compared to the easier control task, especially for feedback indicating higher monetary rewards. We conclude that higher amplitudes of feedback-related brain responses in the risk game reflect the shift of motivation after a have-to task towards a want-to task.Copyright © 2017 Elsevier B.V. All rights reserved.
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Although many studies have investigated the relationship between the amount of effort invested in a certain task and one's attitude towards the subsequent reward, whether exerted effort would impact one's expectation and evaluation of performance feedback itself still remains to be examined. In the present study, two types of calculation tasks that varied in the required effort were adopted, and we resorted to electroencephalography to probe the temporal dynamics of how exerted effort would affect one's anticipation and evaluation of performance feedback. In the high-effort condition, a more salient stimulus-preceding negativity was detected during the anticipation stage, which was accompanied with a more salient FRN/P300 complex (a more positive P300 and a less negative feedback-related negativity) in response to positive outcomes in the evaluation stage. These results suggested that when more effort was invested, an enhanced anticipatory attention would be paid toward one's task performance feedback and that positive outcomes would be subjectively valued to a greater extent.
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Being characterized by reduced pleasure from social interaction, social anhedonia constitutes a transdiagnostic marker for various psychiatric disorders. However, the neural portrait of social anhedonia remains elusive because of heterogeneities of reward type and reward dynamics in previous studies. The present event-related potential study investigated neural dynamics in response to monetary and social rewards in social anhedonia. Event-related potential responses were examined when a high social anhedonia (HSA, N = 23) group and a low social anhedonia (LSA, N = 26) group were anticipating and consuming social and monetary rewards. LSA but not HSA participants showed an increased stimulus-preceding negativity (anticipatory phase) and and increased reward positivity (consummatory phase) for monetary as compared with social rewards. This group difference could spring from an increased relevance of social rewards or a general decline in affective responding due to a potential association between social anhedonia and depression. Our findings provide preliminary evidence for neural aberrations of the reward system in social anhedonia, which is contingent upon reward type and reward dynamics.© The Author(s) 2020. Published by Oxford University Press.
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