Beyond human-likeness: Socialness is more influential when attributing mental states to robots.

We sought to replicate and expand previous work showing that the more human-like a robot appears, the more willing people are to attribute mind-like capabilities and socially engage with it. Forty-two participants played games against a human, a humanoid robot, a mechanoid robot, and a computer algorithm while undergoing functional neuroimaging. We confirmed that the more human-like the agent, the more participants attributed a mind to them. However, exploratory analyses revealed that the perceived socialness of an agent appeared to be as, if not more, important for mind attribution. Our findings suggest top-down knowledge cues may be equally or possibly more influential than bottom-up stimulus cues when exploring mind attribution in non-human agents. While further work is now required to test this hypothesis directly, these preliminary findings hold important implications for robotic design and to understand and test the flexibility of human social cognition when people engage with artificial agents.

Balancing long-term and short-term strategies in a sustainability game.

Our society is marked by a tension between short-term objectives, such as economic growth, and long-term sustainability goals, including mitigating resource depletion. In such a competitive setting, it is crucial to ascertain whether a system can maintain long-term viability and, if so, how. This article aims to enhance the understanding of this issue by analyzing how sustainability concerns change over time by means of a game, and the effect of this variation on the final status of a system. Leveraging insights from the game, we implement an agent-based model to elicit the tension between short-term objectives and sustainability, emphasizing the influence of individual actions on the overall system. The simulation results suggest that the likelihood of a collapse is contingent upon the availability of resources and the manner in which information regarding these resources is gathered and utilized. Finally, the paper proposes practical suggestions for managing this kind of system.

Algorithmic bias: Social science research integration through the 3-D Dependable AI Framework.

Algorithmic bias has emerged as a critical challenge in the age of responsible production of artificial intelligence (AI). This paper reviews recent research on algorithmic bias and proposes increased engagement of psychological and social science research to understand antecedents and consequences of algorithmic bias. Through the lens of the 3-D Dependable AI Framework, this article explores how social science disciplines, such as psychology, can contribute to identifying and mitigating bias at the Design, Develop, and Deploy stages of the AI life cycle. Finally, we propose future research directions to further address the complexities of algorithmic bias and its societal implications.

Gender inequality in workloads explained by operational sex ratio.

Ecological differences between human populations can affect the relative strength of sexual selection, and hence drive gender inequality. Here, we exploit the cultural diversity of southwestern China, where some village sex ratios are female-biased, in part due to a proportion of males entering monastic celibacy, to evaluate the role of sex ratio on the sexual division of labor. We used a detachable activity tracker to measure workload by step counts in both sexes among 561 individuals in 55 villages in six different areas. We show that a lower sex ratio and a higher prevalence of monasticism are associated with higher women's workloads and reduced men's workloads in the non-celibate population. As the operational sex ratio increases, gender inequality diminishes. This study offers valuable insights into the origins of gender disparities by examining the role of sex ratio on the sexual division of labor.

Social status predicts physiological and behavioral responses to chronic stress in rhesus monkeys.

Investigating the underlying factors that cause differential individual responses to chronic stress is crucial for developing personalized therapies, especially in the face of pandemics such as COVID-19. However, this question remains elusive, particularly in primates. In the present study, we aimed to address this question by utilizing monkeys as a model to examine the impacts of social rank on stress levels and physiological and behavioral responses to chronic stress primarily caused by social isolation at both the individual and group levels. Our results showed that high-ranking animals were more susceptible to chronic stress. After exposure to chronic stress, although social hierarchies remained the same, the colonies exhibited more harmonious group relationships (e.g., more prosocial behaviors), with notable contributions from low-ranking animals. Overall, this study deepens our understanding of how social status shapes responses to chronic stress and sheds light on developing tailored and personalized therapies for coping with chronic stress.

Effect of retirement on loneliness: a longitudinal comparative analysis across Australia, China and the USA.

BACKGROUND: There is evidence that the transition to retirement can bring social challenges and may increase loneliness. Few studies have examined the impact of retirement on loneliness; most have been conducted in Western countries. It is important to examine the differences in loneliness postretirement across countries to identify patterns and risk factors that might influence the health and well-being of older adults. We aimed to examine the effect of retirement on loneliness among older adults in Australia, China and the USA. METHODS: Longitudinal analysis of data from population-based samples of Australian, Chinese and American adults over 50. Lagged and fully lagged adjusted models were applied. Social engagement was examined as an effect modifier and a sensitivity analysis was conducted among urban participants. RESULTS: Retirees had a higher predicted prevalence of loneliness than non-retirees in Australia (19.4% (95% CI 18.0% to 20.9%) vs 17.0% (95% CI 15.7% to 18.4%)) and in the USA (19.3% (95% CI 17.5% to 21.1%) vs 15.7% (95% CI 14.3% to 17.3%)). These differences were significant only in the USA. In China, loneliness was significantly lower in those who had retired (10.0% (95% CI 7.9% to 12.5%) vs 17.1% (95% CI 15.7% to 18.5%)). In Australia and the USA, voluntary retirees had the lowest loneliness and involuntary retirees had the highest. Social engagement did not modify the association between retirement and loneliness. CONCLUSIONS: Our findings imply that the effect of retirement should be considered within a cultural context to inform suitable and effective strategies to alleviate loneliness.

Moral hazard in fossil-energy-reliant markets delays early adoption of net-zero technologies.

We use an analytical real option approach to conceptualize and formalize the interaction between long-term climate policies, such as the IRA, and short-term policies intended to protect consumers from volatile fossil-energy prices. An example of the latter is the US releasing strategic oil reserves to lower gas prices. The framework we develop suggests that those short-term policies, which effectively counter incentives created by long-term climate policies, create a moral hazard in fossil-energy-reliant markets. This, in turn, causes early adopters of net-zero technologies to delay their investment. Ultimate adopters, however, do not change their investment decision. The result of this asymmetric reaction to policies is an intensified gradient of the adoption curve of technology, which potentially puts pressure on various supply chains, the financial system, and ultimately government finances. This work is conceptual and does not include an empirical case study since data are too limited in time.

A systematic review on the impact of financial insecurity on the physical and psychological well-being for people living with terminal illness.

BACKGROUND: People living with terminal illness are at higher risk of experiencing financial insecurity. The variance in definitions of financial insecurity, in addition to its impact on the well-being of this population has not yet been systematically analysed. AIM: To understand the definition, prevalence and impact of financial insecurity on the physical and psychological well-being of people living with terminal illness. DESIGN: A systematic review with a narrative synthesis (prospectively registered; CRD42023404516). DATA SOURCES: Medline, Embase, CINAHL, AMED, PsycINFO, ProQuest Central and Cochrane Central Register of Controlled Trials, from inception to May 2023. Included studies had to measure or describe the impact of financial insecurity on an aspect of participants' physical or mental well-being. Study quality was assessed using the Hawker tool. RESULTS: A total of 26 studies were included in the review. Financial insecurity was defined using many different definitions and terminology. Out of 4824 participants, 1126 (23%) reported experiencing high levels of financial insecurity. Nine studies reported 21 unique analyses across three domains of physical well-being. Out of those 21 analyses, 10 (48%) reported a negative result (an increase in financial insecurity was reported with a decrease in physical well-being). Twenty-one studies reported 51 unique analyses across nine domains of psychological well-being. Out of these analyses, 35 (69%) reported a negative result (an increase in financial insecurity was reported with a decrease in psychological well-being). CONCLUSIONS: People living with terminal illness require support with their financial situation to ensure their well-being is not negatively impacted by financial insecurity.

Enhancing musical pleasure through shared musical experience.

Music and social interactions represent two of the most important sources of pleasure in our lives, both engaging the mesolimbic dopaminergic system. However, there is limited understanding regarding whether and how sharing a musical activity in a social context influences and modifies individuals' rewarding experiences. Here, we aimed at (1) modulating the pleasure derived from music under different social scenarios and (2) further investigating its impact on reward-related prosocial behavior and memory. Across three online experiments, we simulated a socially shared music listening and found that participants' music reward was significantly modulated by the social context, with higher reported pleasure for greater levels of social sharing. Furthermore, the increased pleasure reported by the participants positively influenced prosocial behavior and memory outcomes, highlighting the facilitating role of socially boosted reward. These findings provide evidence about the rewarding nature of socially driven music experiences, with important potential implications in educational and clinical settings.

Prioritized neural processing of social threats during perceptual decision-making.

Emotional signals, notably those signaling threat, benefit from prioritized processing in the human brain. Yet, it remains unclear whether perceptual decisions about the emotional, threat-related aspects of stimuli involve specific or similar neural computations compared to decisions about their non-threatening/non-emotional components. We developed a novel behavioral paradigm in which participants performed two different detection tasks (emotion vs. color) on the same, two-dimensional visual stimuli. First, electroencephalographic (EEG) activity in a cluster of central electrodes reflected the amount of perceptual evidence around 100 ms following stimulus onset, when the decision concerned emotion, not color. Second, participants' choice could be predicted earlier for emotion (240 ms) than for color (380 ms) by the mu (10 Hz) rhythm, which reflects motor preparation. Taken together, these findings indicate that perceptual decisions about threat-signaling dimensions of facial displays are associated with prioritized neural coding in action-related brain regions, supporting the motivational value of socially relevant signals.

Reward-related regions play a role in natural story comprehension.

The reward system was shown to be involved in a wide array of processes. Nevertheless, the exploration of the involvement of the reward system during language processing has not yet been directly tested. We investigated the role of reward-processing regions while listening to a natural story. We utilized a published dataset in which half of the participants listened to a natural story and the others listened to a scrambled version of it to compare the functional MRI signals in the reward system between these conditions and discovered a distinct pattern between conditions. This suggests that the reward system is activated during the comprehension of natural stories. We also show evidence that the fMRI signals in reward-related areas might potentially correlate with the predictability level of processed sentences. Further research is needed to determine the nature of the involvement and the way the activity interacts with various aspects of the sentences.

When concentrated disadvantage happens: Exploring the nexus of energy and internet insecurities among vulnerable households.

Digital divide and energy insecurity are pervasive issues among underserved communities, issues that become prounoued during the COVID-19 lockdowns. These disparities underscore the critical need to address them promptly to narrow socio-economic gaps. Our study, based on an online survey of 2,588 respondents in the United Kingdom, explores how concentrated socio-economic disadvantage exacerbates insecurities relating to energy and internet access. Our findings reveal that marginalized groups including low-income households, women, renters, ethnic minorities, and individuals with lower educational attainment are disproportionately affected. Our research extends beyond financial implications to explore the broader social and psychological effects such as trust in utility and internet providers. The study also demonstrates how heightened burdens from energy and internet costs adversely affect the quality of indoor environments, underscoring the interconnected nature of these challenges. Based on these insights, we advocate for policy interventions that adopt comprehensive social justice frameworks to tackle these intersecting inequalities effectively.

Actual cost of electricity: An economic index to overcome levelized cost of electricity limits.

The selection of renewable energy technologies is widely based on the economic index levelized cost of electricity (LCOE). However, the LCOE ignores the potential temporal mismatch between electricity generation and actual grid demand: this aspect is accounted for in the new index named actual cost of electricity (ACOE), here proposed. This index provides a more accurate economic assessment of renewable energy, minimizing the number of assumptions to be made and outlining the benefits of including a storage. The proposed index is tested across ten cases encompassing three renewable technologies: wind, photovoltaic, and concentrated solar power. The outcomes show that the actual renewable electricity generation of a plant can be reduced by 40%-50% when accounting for the actual electricity demand, resulting in an ACOE exceeding the LCOE by up to 100/150 $/MWh. In addition, the ACOE enables the identification of breakthrough conditions that make storage adoption economically feasible.

[Social medicine and the social sciences in Latin America: conceptual tensions for the transformation of public health in the 20th centuryMedicina social e ciências sociais na América Latina: tensões conceituais para a transformação da saúde pública no século XX]. / La medicina social y las ciencias sociales en América Latina: tensiones conceptuales para la transformación de la salud pública en el siglo XX.

The development of public health in Latin America during the 20th century combined, early on, the social medicine framework on the social, political, and environmental origins of disease with the contributions of medical anthropological fieldwork. Despite the hegemony of the medical model, the surge of the preventive medicine framework further legitimized the involvement of social scientists in the study of the multicausality of disease. However, the limitations brought by the preventive medicine model's lack of historical and political contextualization gave way to the Latin American social medicine movement, which was grounded in historical materialism, and the development of both critical epidemiology and critical medical anthropology.

Desde o início, a evolução da saúde pública na América Latina ao longo do século XX combinou o marco teórico da medicina social sobre as origens sociais, políticas e ambientais das doenças com as contribuições derivadas do trabalho de campo da antropologia médica. Apesar da hegemonia do modelo médico, o surgimento do modelo de medicina preventiva legitimou ainda mais a participação dos cientistas sociais no estudo da multicausalidade das doenças. Entretanto, as limitações causadas pela falta de contextualização histórica e política do modelo de medicina preventiva abriram espaço para o movimento latino-americano de medicina social, fundamentado no materialismo histórico, e para o desenvolvimento da epidemiologia crítica e da antropologia médica crítica.

Adaptation of the technology readiness levels for impact assessment in implementation sciences: The TRL-IS checklist.

Background: Intervention development is a critical process in implementation research. There are key stages involved in the process to design, pilot, demonstrate and release a technology or an intervention. The Technology Readiness Level (TRL) is a globally accepted instrument for assessing the maturity of research development. However, the original levels do not fit all, and some adjustments are required for its applicability in implementation sciences. Aims: This study aimed to gather the prior knowledge base on TRL in public and population health research; to develop a standard definition of readiness, and to adapt and validate the TRL to an implementation science context (TRL-IS). Materials and methods: A Mixed methods approach has been followed in this study. A scoping review using the PRISMA extension (PRISMA-ScR) informed a nominal expert panel for developing a standard definition of readiness and to modify the TRL following an ontoterminology approach. Then the maturity of six practical case study examples were rated by ten researchers using the modified TRL to estimate inter-rater reliability, and a group of experts provided final content and face validity and feasibility.This mixed methods study included 1) a scoping review to examine the current literature and develop a knowledge base, identify knowledge gaps and to clarify concepts; 2) the development of a standard definition of 'Readiness' and related terms; and 3) adaptation of the TRL to implementation science and development of a checklist to rate the maturity of applications.A standard definition of readiness and related terms was produced by the core team, and an international nominal group (n = 30) was conducted to discuss and validate the definition and terms, and the location of 'Readiness' in the initiation and early development phases of implementation.Following feedback from the nominal group, the development of the TRL-IS was finalised and a TRL-IS rating checklist was developed to rate the maturity of applications. The TRL-IS checklist was tested using six cases based on real world studies on implementation research.The inter-rater reliability of the TRL-IS was evaluated by ten raters and finally six raters evaluated the content and face validity, and feasibility, of the TRL-IS checklist using the System Usability Scale (SUS). Results: Few papers (n = 11) utilised the TRL to evaluate the readiness of readiness of health and social science implementation research. The main changes in the adaption of the TRL-IS included the removal of laboratory testing, limiting the use of "operational" environment and a clearer distinction between level 6 (pilot in a relevant environment) and 7 (demonstration in the real world prior to release). The adapted version was considered relevant by the expert panel. The TRL-IS checklist showed evidence of good inter-rater reliability (ICC = 0.90 with 95 % confident interval = 0.74-0.98, p < .001) and provides a consistent metric. Conclusions: In spite of recommendations made by national and international research funding agencies, few health and social science implementation studies include the TRL as part of their evaluation protocol. The TRL-IS offers a high degree of conceptual clarity between scientific maturity phases or readiness levels, and good reliability among raters of varying experience. This study highlights that adoption of the TRL-IS framework in implementation sciences will bolster the scientific robustness and comparability of research maturity in this domain.

The social microbiome: The missing mechanism mediating the sociality-fitness nexus?

In many social mammals, early social life and social integration in adulthood largely predict individual health, lifespan, and reproductive success. So far, research has mainly focused on chronic stress as the physiological mediator between social environment and fitness. Here, we propose an alternative, non-exclusive mechanism relying on microbially mediated effects: social relationships with conspecifics in early life and adulthood might strongly contribute to diversifying host microbiomes and to the transmission of beneficial microbes. In turn, more diverse and valuable microbiomes would promote pathogen resistance and optimal health and translate into lifelong fitness benefits. This mechanism relies on recent findings showing that microbiomes are largely transmitted via social routes and play a pervasive role in host development, physiology and susceptibility to pathogens. We suggest that the social transmission of microbes could explain the sociality-fitness nexus to a similar or higher extent than chronic social stress and deserves empirical studies in social mammals.

Inter-subject correlation of audience facial expressions predicts audience engagement during theatrical performances.

During performances, audiences experience various emotional states, and these are reflected in their ongoing facial expressions. We investigated if audience engagement could be determined by measuring the inter-subject correlation (ISC) of non-invasively recorded audience facial expressions. We filmed the faces of multiple audience members at theatrical performances and determined the intensity of their different facial expressions throughout the performances. Neutral, happy, anger, and disgust expression ISCs accounted for up to 24% of the performance dramaturge's predictions of audience engagement. Expression synchrony was greater between individuals in close proximity, suggesting effects of emotional contagion or cognitive similarities between neighboring individuals, whereas expression synchrony was greatest between individuals who were younger, female, and with greater levels of empathy, showing that individual characteristics impact shared audience experiences. Together, our results show that facial expression synchronization could be used as a real-time non-invasive indicator of engagement in audiences larger than achieved using previous approaches.

Planetary Energy Flow and Entropy Production Rate by Earth from 2002 to 2023.

In this work, satellite data from the Clouds and Earth's Radiant Energy System (CERES) and Moderate Resolution Imaging Spectroradiometer (MODIS) instruments are analyzed to determine how the global absorbed sunlight and global entropy production rates have changed from 2002 to 2023. The data is used to test hypotheses derived from the Maximum Power Principle (MPP) and Maximum Entropy Production Principle (MEP) about the evolution of Earth's surface and atmosphere. The results indicate that both the rate of absorbed sunlight and global entropy production have increased over the last 20 years, which is consistent with the predictions of both hypotheses. Given the acceptance of the MPP or MEP, some peripheral extensions and nuances are discussed.

AI and climate resilience governance.

While artificial intelligence (AI) offers promising solutions to address climate change impacts, it also raises many application limitations and challenges. A risk governance perspective is used to analyze the role of AI in supporting decision-making for climate adaptation, spanning risk assessment, policy analysis, and implementation. This comprehensive review combines expert insights and systematic literature review. The study's findings indicate a large emphasis on applying AI to climate "risk assessments," particularly regarding hazard and exposure assessment, but a lack of innovative approaches and tools to evaluate resilience and vulnerability as well as prioritization and implementation process, all of which involve subjective, qualitative, and context-specific elements. Additionally, the study points out challenges such as difficulty of simulating complex long-term changes, and evolving policies and human behavior, reliance on data quality and computational resources, and the need for improved interpretability of results as areas requiring further development.

Emotions and cognition; a promising crossroad for brain tumor diagnosis and prevention.

Cognitive and behavioral neuroscience is essential for understanding brain tumors and their effects. Researchers have realized that an important step is to start looking for cognitive impairment at the time of diagnosis to see what deficits the brain tumor has left the patient with. Then cognitive assessment should be made after the tumor has been removed to see how it changes. The aim of this study was to assess the current research on tumor diagnosis and prevention through a filter of emotion and cognition; and then look at what future steps need to be taken. This review reports what research has already been done and what research still needs to be accomplished, including addressing the need for more data on cognitive impairment while the brain tumor is active, in the literature.