Right dorsolateral prefrontal cortex regulates default prosociality preference.

The dorsolateral prefrontal cortex has been shown to be associated with prosocial behavior. However, the direction of this relationship remains controversial. To resolve inconsistencies in the existing literature, we introduced the concept of default prosociality preference and hypothesized that this preference moderates the relationship between gray matter volume in the dorsolateral prefrontal cortex and prosocial behavior. This study analyzed the data of 168 participants obtained from voxel-based morphometry, 4 types of economic games, and 3 different measures of social value orientation that represent default prosociality preference. Here we show that, in individuals who were consistently classified as proself on the 3 social value orientation measures, gray matter volume in the right dorsolateral prefrontal cortex was positively associated with prosocial behavior. However, in individuals who were consistently classified as prosocial, the direction of this association was vice versa. These results indicate that the right dorsolateral prefrontal cortex regulates default prosociality preference.

[Spiritual interventions in multimodal pain management]. / Spirituelle Interventionen in der multimodalen Schmerztherapie.

If we understand chronic pain not only as a disease but also as an existential crisis, it seems logical and reasonable to consider spiritual aspects in the treatment process. Spirituality is understood as an umbrella term for all activities and experiences that give meaning and significance to people's lives-irrespective of their religious affiliation. So far, spiritual aspects have been considered therapeutically mainly in the palliative context. According to current survey-based studies of pain patients, the inclusion of spiritual themes in therapy leads to an improvement in quality of life and pain tolerance and is moreover explicitly desired by those patients. A consistent expansion of multimodal treatment approaches in the sense of a biopsychosocial-spiritual concept has not yet been implemented. The following basic attitudes and behaviors are relevant for practical implementation: openness to spiritual themes and authenticity, taking a spiritual history, listening, standing firm, activation of values, use of motives from religion, mythology, and art. Professional competence generally involves all practitioners, but may also require qualified professionals for specialized assistance. The integration of authentic spiritual assistance into multimodal pain management should help to stabilize self-esteem and the experience of identity of the patients through resource activation and identification of burdensome spiritual beliefs. The detailed integration and investigation of the efficiency of spiritual interventions in multimodal pain therapy require further research.

Understanding food waste sorting behavior in institutional food services: An integrated psychological framework.

Food waste from institutional food services accounts for a significant part of global food waste. Food waste sorting (FWS) at the source reduces waste management costs and environmental impacts in organizations. Yet what drives individual FWS behavior remains underexplored. This study explores the psychological process of FWS in institutional catering environments, integrating the value-belief-norm model, the theory of planned behavior, and self-determination theory. Data were collected from 431 university students in China and analyzed using partial least squares structural equation modeling (PLS-SEM). Results indicated the interplay of values, beliefs, norms, and motivations in shaping FWS behaviors. Social value orientations (SVO) indirectly affected FWS through awareness of consequences and personal norms. Subjective norms, potentially attributed to external regulations in canteens, influenced FWS intention through personal norms and induced FWS primarily via controlled motivations. The findings imply that behavioral strategies to induce FWS may leverage social influence and external regulation while also translating values and knowledge into intrinsic motivations through educational programs and awareness campaigns.

Social value orientation modulates behavioral and neural responses to social influence.

Substantial studies have investigated the social influence effect; however, how individuals with different social value orientations (SVOs), prosocials and proselfs, respond to different social influences remains unknown. This study examines the impact of positive and negative social information on the responses of people with different SVOs. A face-attractiveness assessment task was employed to investigate the relationships between influence probability, memory, and event-related potentials of social influence. A significant interactional effect suggested that prosocials and proselfs reacted differently to positive (group rating was more attractive) and negative (group rating was less attractive) social influences. Specifically, proselfs demonstrated significantly higher influence probability, marginally better recall performance, smaller N400, and larger late positive potential on receiving negative influence information than on receiving positive influence information, while prosocials showed no significant differences. Overall, correlations between N400/LPP, influence probability, and recall performance were significant. The above results indicate the modulating role of SVO when responding to social influence. These findings have important implications for understanding how people conform and how prosocial behavior occurs.

The Dispositional Essence of Proactive Social Preferences: The Dark Core of Personality vis-à-vis 58 Traits.

Individuals differ in how they weigh their own utility versus others'. This tendency codefines the dark factor of personality (D), which is conceptualized as the underlying disposition from which all socially and ethically aversive (dark) traits arise as specific, flavored manifestations. We scrutinize this unique theoretical notion by testing, for a broad set of 58 different traits and related constructs, whether any predict how individuals weigh their own versus others' utility in proactive allocation decisions (i.e., social value orientations) beyond D. These traits and constructs range from broad dimensions (e.g., agreeableness), to aversive traits (e.g., sadism) and beliefs (e.g., normlessness), to prosocial tendencies (e.g., compassion). In a large-scale longitudinal study involving the assessment of consequential choices (median N = 2,270; a heterogeneous adult community sample from Germany), results from several hundred latent model comparisons revealed that no meaningful incremental variance was explained beyond D. Thus, D alone is sufficient to represent the social preferences inherent in socially and ethically aversive personality traits.

A downstream social norms approach for curtailing e-cigarette waste: Promising social marketing interventions from consumer interactions.

Irresponsibly disposed electronic cigarette (e-cigarette) waste poses significant public health and environmental harm. This study explores downstream social marketing interventions that can be used to curtail the growth of e-cigarette waste in South Africa through the lenses of the social norms approach. This study harnesses the power of social marketing to identify downstream interventions that can be used by marketers to curb the problem of e-cigarette waste. An exploratory research design and a qualitative method were employed. Six virtual focus groups were conducted to collect cross-sectional data from South African electronic cigarette users. Reciprocal altruism, social orientation value, moral licensing and ecological beliefs were found to be the main normative influences that characterise e-cigarette waste. The results support the proposition that social marketers should employ a downstream approach to develop interventions to curtail the growth of e-cigarette waste. Such measures are envisaged to complement upstream initiatives. This study offers new insights on how to manage e-cigarette waste in the context of an emerging market.

Narcissism moderates the association between basal testosterone and generosity in men.

Research has linked hormones to behavioral outcomes in intricate ways, often moderated by psychological dispositions. The associations between testosterone and antisocial or prosocial outcomes also depend on dispositions relevant to status and dominance. In two studies (N1 = 68, N2 = 83), we investigated whether endogenous testosterone, measured in saliva, and narcissism, a psychological variable highly relevant to status motivation, interactively predicted men's preferences regarding resource allocation. Narcissism moderated the links between testosterone and social value orientation: among low narcissists testosterone negatively predicted generosity in resource allocation and probability of endorsing a prosocial (vs. pro-self) value orientation, whereas among high narcissists testosterone tended to positively predict generosity and the probability of endorsing a prosocial (vs. pro-self) value orientation. We discuss these results as examples of calibrating effects of testosterone on human behavior, serving to increase and maintain social status. We advocate the relevance of psychological dispositions, alongside situations, when examining the role of T in social outcomes.

Social behavior for autonomous vehicles.

Deployment of autonomous vehicles on public roads promises increased efficiency and safety. It requires understanding the intent of human drivers and adapting to their driving styles. Autonomous vehicles must also behave in safe and predictable ways without requiring explicit communication. We integrate tools from social psychology into autonomous-vehicle decision making to quantify and predict the social behavior of other drivers and to behave in a socially compliant way. A key component is Social Value Orientation (SVO), which quantifies the degree of an agent's selfishness or altruism, allowing us to better predict how the agent will interact and cooperate with others. We model interactions between agents as a best-response game wherein each agent negotiates to maximize their own utility. We solve the dynamic game by finding the Nash equilibrium, yielding an online method of predicting multiagent interactions given their SVOs. This approach allows autonomous vehicles to observe human drivers, estimate their SVOs, and generate an autonomous control policy in real time. We demonstrate the capabilities and performance of our algorithm in challenging traffic scenarios: merging lanes and unprotected left turns. We validate our results in simulation and on human driving data from the NGSIM dataset. Our results illustrate how the algorithm's behavior adapts to social preferences of other drivers. By incorporating SVO, we improve autonomous performance and reduce errors in human trajectory predictions by 25%.

Does similarity trigger cooperation? Dyadic effect of similarity in social value orientation and cognitive resources on cooperation.

Although a considerable amount of research has demonstrated a robust relationship between social value orientation and cooperation, these studies may be limited by focusing solely on the individual. Building on the growing literature documenting the effect of group formation on cooperation and personality similarity on negotiation, the present study explored whether similarity in social value orientation (both being pro-social or pro-self) leads to more cooperation in social dilemmas among dyad members. Drawing from expectancy theory and the concept of cognitive resources, we further predicted that the relationship between similarity in social value orientation and cooperation uniquely depends on whether the individual is cognitively busy. To test our hypothesis, we grouped our participants according to their social value orientation into three different dyads (similar-pro-self, similar-pro-social, and pro-self-pro-social) to complete a repeated prisoner's dilemma task, and controlled their cognitive resources using a simultaneous digit memory task. The results suggested that (1) heterogeneous dyads' (pro-self-pro-social) cooperation possibility experience a steeper decay as the number of rounds increases compared with the two homogeneous dyads (similar-pro-self, similar-pro-social). In addition, (2) similarity in social value orientation, interacting with participants' cognitive resources, significantly influenced individual-level cooperation. Specifically, both pro-selfs and pro-socials, paired with unlike-minded counterparts, were more cooperative when they had abundant cognitive resources. However, cognitive resources had no significant influence on dyads with similar social value orientation. Overall, these findings demonstrate the importance of considering personality configuration when attempting to understand cooperation in social dilemmas among dyads. Supplementary Information: The online version contains supplementary material available at 10.1007/s12144-022-03276-8.

The emergence of conventions in the repeated volunteer's dilemma: The role of social value orientation, payoff asymmetries and focal points.

Conventions are arbitrary rules of behavior that coordinate social interactions. Here we study the effects of individuals' social value orientations (SVO) and situational conditions on the emergence of conventions in the three-person volunteer's dilemma (VOD). The VOD is a step-level collective good game in which only one actor's action is required to produce a benefit for the group. It has been shown that if actors interact in the payoff-symmetric VOD repeatedly, a turn-taking convention emerges, resulting in an equal distribution of payoffs. If the VOD is asymmetric, with one "strong" actor having lower costs of volunteering, a solitary-volunteering convention emerges by which the strong actor volunteers earning less than others. In study 1 we test whether SVO promotes turn-taking and hampers solitary-volunteering. We find that groups with more prosocials engage less in turn-taking and no effect of SVO on the emergence of solitary-volunteering. In study 2 we test whether making one actor focal is sufficient for solitary-volunteering to emerge. We find instead that payoff asymmetry with one strong actor is a necessary precondition. We discuss explanations for our findings and propose directions for future research.

Age, frequency of volunteering, and Present-Hedonistic time perspective predict donating items to people in need, but not money to combat COVID-19 during lock-down.

Restrictions due to COVID-19 necessitated staying at home, but in some cases, encouraged charitable behavior, e.g., donating items to people in need (e.g., clothes, food), or money to support combatting COVID-19. Drawing on the previous findings regarding helping during disastrous situations and roles of time perspective in helping behaviors, the study tested the predictive value of age, gender, previous volunteering, altruistic social value orientation, and time perspectives of donating items to people in need or money to combat COVID-19. The study is pioneering in terms of including time perspectives as individual differences which might contribute to making donations during COVID-19 circumstances. The study was questionnaire-based and conducted online in the eighth week of social distancing in Poland. 150 young adults (age 18-35) took part in the study. Results of multivariable logistic regression analysis indicated that age, frequency of volunteering before the epidemic, and Present-Hedonistic time perspective predict donating items to people in need, but none of the tested variables predicted donating money to combat COVID-19. The findings suggest that charitable behavior, especially in the context of extraordinary social situations, needs to be treated as a multifaceted phenomenon. The study indicates that a Present-Hedonistic time perspective would be a promising individual difference to test in future studies on prosociality.

Computing Social Value Conversion in the Human Brain.

Social signals play powerful roles in shaping self-oriented reward valuation and decision making. These signals activate social and valuation/decision areas, but the core computation for their integration into the self-oriented decision machinery remains unclear. Here, we study how a fundamental social signal, social value (others' reward value), is converted into self-oriented decision making in the human brain. Using behavioral analysis, modeling, and neuroimaging, we show three-stage processing of social value conversion from the offer to the effective value and then to the final decision value. First, a value of others' bonus on offer, called offered value, was encoded uniquely in the right temporoparietal junction (rTPJ) and also in the left dorsolateral prefrontal cortex (ldlPFC), which is commonly activated by offered self-bonus value. The effective value, an intermediate value representing the effective influence of the offer on the decision, was represented in the right anterior insula (rAI), and the final decision value was encoded in the medial prefrontal cortex (mPFC). Second, using psychophysiological interaction and dynamic causal modeling analyses, we demonstrated three-stage feedforward processing from the rTPJ and ldPFC to the rAI and then from rAI to the mPFC. Further, we showed that these characteristics of social conversion underlie distinct sociobehavioral phenotypes. We demonstrate that the variability in the conversion underlies the difference between prosocial and selfish subjects, as seen from the differential strength of the rAI and ldlPFC coupling to the mPFC responses, respectively. Together, these findings identified fundamental neural computation processes for social value conversion underlying complex social decision making behaviors.SIGNIFICANCE STATEMENT In daily life, we make decisions based on self-interest, but also in consideration for others' status. These social influences modulate valuation and decision signals in the brain, suggesting a fundamental process called value conversion that translates social information into self-referenced decisions. However, little is known about the conversion process and its underlying brain mechanisms. We investigated value conversion using human fMRI with computational modeling and found three essential stages in a progressive brain circuit from social to empathic and decision areas. Interestingly, the brain mechanism of conversion differed between prosocial and individualistic subjects. These findings reveal how the brain processes and merges social information into the elemental flow of self-interested decision making.

Response time in economic games reflects different types of decision conflict for prosocial and proself individuals.

Behavioral and neuroscientific studies explore two pathways through which internalized social norms promote prosocial behavior. One pathway involves internal control of impulsive selfishness, and the other involves emotion-based prosocial preferences that are translated into behavior when they evade cognitive control for pursuing self-interest. We measured 443 participants' overall prosocial behavior in four economic games. Participants' predispositions [social value orientation (SVO)] were more strongly reflected in their overall game behavior when they made decisions quickly than when they spent a longer time. Prosocially (or selfishly) predisposed participants behaved less prosocially (or less selfishly) when they spent more time in decision making, such that their SVO prosociality yielded limited effects in actual behavior in their slow decisions. The increase (or decrease) in slower decision makers was prominent among consistent prosocials (or proselfs) whose strong preference for prosocial (or proself) goals would make it less likely to experience conflict between prosocial and proself goals. The strong effect of RT on behavior in consistent prosocials (or proselfs) suggests that conflict between prosocial and selfish goals alone is not responsible for slow decisions. Specifically, we found that contemplation of the risk of being exploited by others (social risk aversion) was partly responsible for making consistent prosocials (but not consistent proselfs) spend longer time in decision making and behave less prosocially. Conflict between means rather than between goals (immediate versus strategic pursuit of self-interest) was suggested to be responsible for the time-related increase in consistent proselfs' prosocial behavior. The findings of this study are generally in favor of the intuitive cooperation model of prosocial behavior.

Using a Stochastic Agent Model to Optimize Performance in Divergent Interest Tacit Coordination Games.

In recent years collaborative robots have become major market drivers in industry 5.0, which aims to incorporate them alongside humans in a wide array of settings ranging from welding to rehabilitation. Improving human-machine collaboration entails using computational algorithms that will save processing as well as communication cost. In this study we have constructed an agent that can choose when to cooperate using an optimal strategy. The agent was designed to operate in the context of divergent interest tacit coordination games in which communication between the players is not possible and the payoff is not symmetric. The agent's model was based on a behavioral model that can predict the probability of a player converging on prominent solutions with salient features (e.g., focal points) based on the player's Social Value Orientation (SVO) and the specific game features. The SVO theory pertains to the preferences of decision makers when allocating joint resources between themselves and another player in the context of behavioral game theory. The agent selected stochastically between one of two possible policies, a greedy or a cooperative policy, based on the probability of a player to converge on a focal point. The distribution of the number of points obtained by the autonomous agent incorporating the SVO in the model was better than the results obtained by the human players who played against each other (i.e., the distribution associated with the agent had a higher mean value). Moreover, the distribution of points gained by the agent was better than any of the separate strategies the agent could choose from, namely, always choosing a greedy or a focal point solution. To the best of our knowledge, this is the first attempt to construct an intelligent agent that maximizes its utility by incorporating the belief system of the player in the context of tacit bargaining. This reward-maximizing strategy selection process based on the SVO can also be potentially applied in other human-machine contexts, including multiagent systems.

Offers beyond the negotiating dyad: Including the excluded in a network exchange experiment.

Based on the assumption of self-interest, allocations in network exchange models and experiments are typically restricted to negotiating dyads. Network members beyond the dyad are excluded by design from a share of the divided resource. Social value orientation may, however, induce subjects to allocate parts of the resource to third network members. We experimentally study three-person networks in which subjects can make bilateral offers that allocate payoff shares to all network members. Our results show that subjects give on average ten percent of the bargaining value to third network members if they have this option. The concern for third network members is moderated by social values: the stronger the social value orientations of the deciding individuals, the more payoff is allocated to third network members. We conclude that fairness is an important initial motivator that affects the way in which structural power is used in network exchange.

Value orientation and payment for ecosystem services: Perceived detrimental consequences lead to willingness-to-pay for ecosystem services.

This research analyzed whether the three distinct value orientations posited under the Value-Belief-Norm (VBN) model determine willingness-to-pay (WTP) for a payment for ecosystem services (PES) program. A survey instrument gathered U.S. residents' knowledge and attitudes toward ecosystem services and PES, and elicited WTP for the restoration of a hypothetical degraded forest watershed for improved ecosystem services. Data from over 1000 respondents nationwide were analyzed using exploratory factor analysis (EFA) and ordered logistic regression. Urban respondents were more familiar with the concepts of ecosystem service and PES than rural respondents but familiarity did not yield statistically different WTP estimates. Based on results from the EFA, we posit that latent value orientations might be distinguished as 'detrimental', 'biospheric' and 'beneficial (egoistic)' - as compared to 'altruistic', 'biospheric' and 'egoistic' as suggested in the VBN's general awareness of consequences scale. Awareness of biospheric and detrimental consequences along with ascriptions to personal norms had positive and significant effects on stated WTP. Beneficial (egoistic) value orientation was negatively associated with WTP and carried a negative average WTP per household per year (US$ -30.48) for the proposed PES restoration program as compared with biospheric (US$ 15.53) and detrimental (US$ 3.96) orientations. Besides personal norms, awareness of detrimental consequences to human wellbeing from environmental degradation seems the stronger driver of WTP for the restoration and protection of forest watershed ecosystem services under a PES program.

Modeling the Social Dynamics of Moral Enhancement: Social Strategies Sold Over the Counter and the Stability of Society.

How individuals tend to evaluate the combination of their own and other's payoffs-social value orientations-is likely to be a potential target of future moral enhancers. However, the stability of cooperation in human societies has been buttressed by evolved mildly prosocial orientations. If they could be changed, would this destabilize the cooperative structure of society? We simulate a model of moral enhancement in which agents play games with each other and can enhance their orientations based on maximizing personal satisfaction. We find that given the assumption that very low payoffs lead agents to be removed from the population, there is a broadly stable prosocial attractor state. However, the balance between prosociality and individual payoff-maximization is affected by different factors. Agents maximizing their own satisfaction can produce emergent shifts in society that reduce everybody's satisfaction. Moral enhancement considerations should take the issues of social emergence into account.

The power of subliminal and supraliminal eye contact on social decision making: An individual-difference perspective.

We conducted two experiments to explore how social decision making is influenced by the interaction of eye contact and social value orientation (SVO). Specifically, participants with a Prosocial (Prosocials) or a Proself (Proselfs) SVO played Prisoner Dilemma games with a computer partner following supraliminal (Experiment 1) and subliminal (Experiment 2) direct gaze from that partner. Results showed that participants made more cooperative decisions after supraliminal eye contact than no eye contact, and the effect only existed for the Prosocials but not for the Proselfs. Nevertheless, when the computer partner made a subliminal eye contact with the participants, although more cooperative choices were found among the Prosocials following subliminal eye contact, relative to no contact, the Proselfs demonstrated reduced cooperation rates. These findings suggest that Prosocials and Proselfs interpreted eye contact in distinct ways at different levels of awareness, which led to various social decision making.

The Impact of Person-Organization Fit on Nurse Job Satisfaction and Patient Care Quality.

PURPOSE: In the current healthcare context, large health care organizations may increasingly emphasize profit, biomedicine, efficiency, and customer service in the delivery of care. This orientation toward nursing work by large organizations may be perceived by nurses as incompatible with professional caring. METHODS: Ordinary Least Squares regression was used to explore the impact of person-organization fit (i.e., value congruence between self and employing organization) on nurses' general job satisfaction and quality of patient care (n=753). RESULTS: Nurses' perceived person-organization fit is a significant predictor of general job satisfaction and quality of patient care. CONCLUSION: The implications of our findings are discussed and recommendations for nursing leaders and future research are made.

With you or against you: social orientation dependent learning signals guide actions made for others.

In social environments, it is crucial that decision-makers take account of the impact of their actions not only for oneself, but also on other social agents. Previous work has identified neural signals in the striatum encoding value-based prediction errors for outcomes to oneself; also, recent work suggests that neural activity in prefrontal cortex may similarly encode value-based prediction errors related to outcomes to others. However, prior work also indicates that social valuations are not isomorphic, with social value orientations of decision-makers ranging on a cooperative to competitive continuum; this variation has not been examined within social learning environments. Here, we combine a computational model of learning with functional neuroimaging to examine how individual differences in orientation impact neural mechanisms underlying 'other-value' learning. Across four experimental conditions, reinforcement learning signals for other-value were identified in medial prefrontal cortex, and were distinct from self-value learning signals identified in striatum. Critically, the magnitude and direction of the other-value learning signal depended strongly on an individual's cooperative or competitive orientation toward others. These data indicate that social decisions are guided by a social orientation-dependent learning system that is computationally similar but anatomically distinct from self-value learning. The sensitivity of the medial prefrontal learning signal to social preferences suggests a mechanism linking such preferences to biases in social actions and highlights the importance of incorporating heterogeneous social predispositions in neurocomputational models of social behavior.