A brief intervention to motivate empathy among middle school students.

Empathy tracks socioemotional adjustment during early adolescence, yet adolescents this age tend to show reductions in empathy compared with younger children. Here we took a novel approach to building empathy among early adolescents in four middle schools (n = 857). Rather than addressing the ability to empathize, we targeted the motivation to empathize. To do so, we leveraged strategies demonstrated to change motivation among early adolescents: social norms and mindsets. Compared with those in other conditions, students who received a norms-based intervention reported greater motivation to empathize with others, which was in turn associated with increased peer-reported prosocial behaviors, as well as lower levels of loneliness and aggression. The effects of this norms condition were strongest at schools with relatively high engagement with the intervention. Findings suggest a novel avenue for increasing empathy among early adolescents-focusing on peer-driven motivation-and underscore the importance of context in shaping intervention outcomes. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

A computational theory of the subjective experience of flow.

Flow is a subjective state characterized by immersion and engagement in one's current activity. The benefits of flow for productivity and health are well-documented, but a rigorous description of the flow-generating process remains elusive. Here we develop and empirically test a theory of flow's computational substrates: the informational theory of flow. Our theory draws on the concept of mutual information, a fundamental quantity in information theory that quantifies the strength of association between two variables. We propose that the mutual information between desired end states and means of attaining them - [Formula: see text] - gives rise to flow. We support our theory across five experiments (four preregistered) by showing, across multiple activities, that increasing [Formula: see text] increases flow and has important downstream benefits, including enhanced attention and enjoyment. We rule out alternative constructs including alternative metrics of associative strength, psychological constructs previously shown to predict flow, and various forms of instrumental value.

Psychological Selfishness.

Selfishness is central to many theories of human morality, yet its psychological nature remains largely overlooked. Psychologists often draw on classical conceptions of selfishness from evolutionary biology (i.e., selfish gene theory), economics (i.e., rational self-interest), and philosophy (i.e., psychological egoism), but such characterizations offer limited insight into the psychology of selfishness. To address this gap, we propose a novel framework in which selfishness is recast as a psychological construction. From this view, selfishness is perceived in ourselves and others when we detect a situation-specific desire to benefit the self that disregards others' desires and prevailing social expectations for the situation. We argue that detecting and deterring such psychological selfishness in both oneself and others is crucial in social life-facilitating the maintenance of social cohesion and close relationships. In addition, we show how using this psychological framework offers a richer understanding of the nature of human social behavior. Delineating a psychological construct of selfishness can promote coherence in interdisciplinary research on selfishness and provide insights for interventions to prevent or remediate the negative effects of selfishness.

Belief in Altruistic Motives Predicts Prosocial Actions and Inferences.

Are humans ever truly altruistic? Or are all actions, however noble, ultimately motivated by self-interest? Psychologists and philosophers have long grappled with this question, but few have considered laypeople's beliefs about the nature of prosocial motives. Here we examine these beliefs and their social correlates across two experiments (N = 445). We find that people tend to believe humans can be, and frequently are, altruistically motivated-echoing prior work. Moreover, people who more strongly believe in altruistic motives act more prosocially themselves-for instance, sacrificing greater amounts of money and time to help others-a relationship that holds even when controlling for trait empathy. People who believe in altruistic motives also judge other prosocial agents to be more genuinely kind, especially when agents' motives are ambiguous. Lastly, people independently show a self-serving bias-believing their own motives for prosociality are more often altruistic than others'. Overall, this work suggests that believing in altruistic motives predicts the extent to which people both see altruism and act prosocially, possibly reflecting the self-fulfilling nature of such lay theories.

Building empathy through motivation-based interventions.

Empathy is associated with adaptive social and emotional outcomes; as such, a crucial outstanding question is whether it can be bolstered in ways that make practical differences in people's lives. Most empathy-building efforts address one's ability to empathize, increasing empathy by training skills like perspective taking. However, empathy is more than the ability to share and understand others' feelings; it also reflects underlying motives that drive people to experience or avoid it. As such, another strategy for increasing empathy could focus on shifting relevant motives. Here we explored this idea, leveraging two intervention techniques (mindsets and social norms) to increase motivation to empathize. Two hundred ninety-two first-year college students were randomly assigned to one of three intervention conditions-malleable mindset, social norms, or a combination of the two-or a control condition. Eight weeks later, participants in the intervention conditions endorsed stronger beliefs about empathy's malleability and exhibited greater empathic accuracy when rating others' positive emotions as compared to the control condition. They also reported having made a greater number of friends since starting college. The interventions did not affect outcomes related to intergroup processes or empathic accuracy when rating others' negative emotions, indicating a boundary condition for these interventions. This experiment underscores the potential of motivation-based empathy interventions to generate positive, real-world impact. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Motivated misremembering of selfish decisions.

People often prioritize their own interests, but also like to see themselves as moral. How do individuals resolve this tension? One way to both pursue personal gain and preserve a moral self-image is to misremember the extent of one's selfishness. Here, we test this possibility. Across five experiments (N = 3190), we find that people tend to recall being more generous in the past than they actually were, even when they are incentivized to recall their decisions accurately. Crucially, this motivated misremembering effect occurs chiefly for individuals whose choices violate their own fairness standards, irrespective of how high or low those standards are. Moreover, this effect disappears under conditions where people no longer perceive themselves as responsible for their fairness violations. Together, these findings suggest that when people's actions fall short of their personal standards, they may misremember the extent of their selfishness, thereby potentially warding off threats to their moral self-image.

The lateral prefrontal cortex and moral goal pursuit.

In the face of competing desires, humans often strive to be fair, honest, and considerate of others. Research from social neuroscience implicates the lateral prefrontal cortex (LPFC) in our capacity to pursue such goals, yet its precise computational role is less clear. Here, we draw on insights from the neuroscience of hierarchical control and value-based choice to offer an integrative look at how LPFC supports the pursuit of moral goals. We conclude by highlighting how future work may leverage these insights to deepen our understanding of the dynamic neural code of morality.

Neural detection of socially valued community members.

As people form social groups, they benefit from being able to detect socially valuable community members-individuals who act prosocially, support others, and form strong relationships. Multidisciplinary evidence demonstrates that people indeed track others' social value, but the mechanisms through which such detection occurs remain unclear. Here, we combine social network and neuroimaging analyses to examine this process. We mapped social networks in two freshman dormitories (n = 97), identifying how often individuals were nominated as socially valuable (i.e., sources of friendship, empathy, and support) by their peers. Next, we scanned a subset of dorm members ("perceivers"; n = 50) as they passively viewed photos of their dormmates ("targets"). Perceiver brain activity in regions associated with mentalizing and value computation differentiated between highly valued targets and other community members but did not differentiate between targets with middle versus low levels of social value. Cross-validation analysis revealed that brain activity from novel perceivers could be used to accurately predict whether targets viewed by those perceivers were high in social value or not. These results held even after controlling for perceivers' own ratings of closeness to targets, and even though perceivers were not directed to focus on targets' social value. Overall, these findings demonstrate that individuals spontaneously monitor people identified as sources of strong connection in the broader community.

When is giving an impulse? An ERP investigation of intuitive prosocial behavior.

Human prosociality is often assumed to emerge from exerting reflective control over initial, selfish impulses. However, recent findings suggest that prosocial actions can also stem from processes that are fast, automatic and intuitive. Here, we attempt to clarify when prosocial behavior may be intuitive by examining prosociality as a form of reward seeking. Using event-related potentials (ERPs), we explored whether a neural signature that rapidly encodes the motivational salience of an event-the P300-can predict intuitive prosocial motivation. Participants allocated varying amounts of money between themselves and charities they initially labelled as high- or low-empathy targets under conditions that promoted intuitive or reflective decision making. Consistent with our predictions, P300 amplitude over centroparietal regions was greater when giving involved high-empathy targets than low-empathy targets, but only when deciding under intuitive conditions. Reflective conditions, alternatively, elicited an earlier frontocentral positivity related to response inhibition, regardless of target. Our findings suggest that during prosocial decision making, larger P300 amplitude could (i) signal intuitive prosocial motivation and (ii) predict subsequent engagement in prosocial behavior. This work offers novel insight into when prosociality may be driven by intuitive processes and the roots of such behaviors.