Regional Ambient Temperature Is Associated with Human Personality

Human personality traits differ across geographic regions1-5 . However, it remains unclear what generates these geographic personality differences. Since humans constantly experience and react to ambient temperature, we propose that temperature is a critical environmental factor that is associated with individuals’ habitual behavioral patterns and thus with fundamental dimensions of personality. To test the relationship between ambient temperature and personality, we conducted two large-scale studies within two geographically large yet culturally distinct countries: China and the United States. Using data from 59 Chinese cities (N = 5,587), multilevel analyses and machine learning revealed that individuals who grew up in areas with milder temperatures (i.e., closer to 22 °C) scored higher on personality factors related to socialization/stability (agreeableness, conscientiousness, emotional stability) and personal growth/plasticity (extraversion, openness to experience). These relationships between temperature clemency and personality factors were replicated in a larger dataset of 12,499 ZIP-code level locations (the lowest geographic level feasible) within the United States (N = 1,660,638). Taken together, our findings provide a perspective on how and why personalities vary across geographic regions beyond past theories (subsistence theory, selective migration theory, pathogen prevalence theory). As climate change continues across the globe, we may also observe concomitant changes in human personality

Personality predicts musical sophistication

There is little research on the role of personality in musical expertise. We address this gap in the literature by using data from a large national study (N = 7,870) to examine how scores on 10 facets of the Big Five dimensions of personality predicted self-reported musical sophistication and performance on two behavioral tests (melodic memory and rhythm perception). Personality predicted musical sophistication even after controlling for demographic variables and musicianship, with Openness to Aesthetics the best trait predictor. Substance use also predicted musical sophistication for various subscales and the behavioral tests. These findings replicated in both musician and non-musician subgroups.The authors thank Robert R. McCrae for his helpful comments on an earlier draft. Data collection was made possible by the LabUK research unit of the British Broadcasting Corporation.This is the accepted manuscript of a paper published in the Journal of Research in Personality (Greenberg DM, Müllensiefen D, Lamb ME, Rentfrow PJ, Journal of Research in Personality, 2015, doi:10.1016/j.jrp.2015.06.002). The final version is available at http://dx.doi.org/10.1016/j.jrp.2015.06.00

Putting mood in context: Using smartphones to examine how people feel in different locations

Does personality predict how people feel in different types of situations? The present research addressed this question using data from several thousand individuals who used a mood tracking smartphone application for several weeks. Results from our analyses indicated that people’s momentary affect was linked to their location, and provided preliminary evidence that the relationship between state affect and location might be moderated by personality. The results highlight the importance of looking at person-situation relationships at both the trait- and state-levels and also demonstrate how smartphones can be used to collect person and situation information as people go about their everyday lives.Engineering and Physical Sciences Research Council (Grant ID: EP/I032673/1)This is the final version of the article. It first appeared from Elsevier via https://doi.org/10.1016/j.jrp.2016.06.00

What Drives Our Emotions When We Watch Sporting Events? An ESM Study on the Affective Experience of German Spectators during the 2018 FIFA World Cup

There is ample evidence that watching sports induces strong emotions that translate into manifold consequential behaviours. However, it is rather ill-understood how exactly spectators’ emotions unfold during soccer matches and what determines their intensity. To address these questions, we used the 2018 FIFA World Cup as a natural quasi-experiment to conduct a pre-registered study on spectators’ emotional experiences. Employing an app-based experience-sampling design, we tracked 251 German spectators during the tournament and assessed high-resolution changes in core affect (valence, activation) throughout soccer matches. Across the three German matches, multi-level models revealed that all spectators exhibited strong changes on both affective dimensions in response to Germany’s performance. Although fans experienced slightly more intense affect than non-fans, particularly during losses, this moderating effect was very small in comparison to the magnitude of the affective fluctuations that occurred independent of fan identity. Taken together, the findings suggest group emotions (collectively felt emotion irrespective of individual affiliation) rather than group-affiliation based emotions (individually felt emotion because of an affiliated group), as the dominant process underlying spectator affect during the 2018 FIFA World Cup.</jats:p

Musical preferences are linked to cognitive styles

Why do we like the music we do? Research has shown that musical preferences and personality are linked, yet little is known about other influences on preferences such as cognitive styles. To address this gap, we investigated how individual differences in musical preferences are explained by the empathizing-systemizing (E-S) theory. Study 1 examined the links between empathy and musical preferences across four samples. By reporting their preferential reactions to musical stimuli, samples 1 and 2 (Ns = 2,178 and 891) indicated their preferences for music from 26 different genres, and samples 3 and 4 (Ns = 747 and 320) indicated their preferences for music from only a single genre (rock or jazz). Results across samples showed that empathy levels are linked to preferences even within genres and account for significant proportions of variance in preferences over and above personality traits for various music-preference dimensions. Study 2 (N = 353) replicated and extended these findings by investigating how musical preferences are differentiated by E-S cognitive styles (i.e., 'brain types'). Those who are type E (bias towards empathizing) preferred music on the Mellow dimension (R&B/soul, adult contemporary, soft rock genres) compared to type S (bias towards systemizing) who preferred music on the Intense dimension (punk, heavy metal, and hard rock). Analyses of fine-grained psychological and sonic attributes in the music revealed that type E individuals preferred music that featured low arousal (gentle, warm, and sensual attributes), negative valence (depressing and sad), and emotional depth (poetic, relaxing, and thoughtful), while type S preferred music that featured high arousal (strong, tense, and thrilling), and aspects of positive valence (animated) and cerebral depth (complexity). The application of these findings for clinicians, interventions, and those on the autism spectrum (largely type S or extreme type S) are discussed.This work was supported by the Medical Research Council

Fear and deprivation in Trump’s America: A regional analysis of voting behavior in the 2016 and 2020 U.S. presidential elections

Since Trump was elected U.S. President in 2016, researchers have sought to explain his support, with some focusing on structural factors (e.g., economics) and others focusing on psychological factors (e.g., negative emotions). We integrate these perspectives in a regional analysis of 18+ structural variables capturing economic, demographic, and health factors as well as the aggregated neuroticism scores of 3+ million individuals. Results revealed that regions that voted for Trump in 2016 and 2020 had high levels of neuroticism and economic deprivation. Regions that voted for Trump also had high anti-Black implicit bias and low ethnic diversity, though Trump made gains in ethnically diverse regions in 2020. Trump’s voter base differed from the voter base of more traditional Republican candidates and Democrat Bernie Sanders. In sum, structural and psychological factors both explain Trump’s unique authoritarian appeal

Smartphone sensing methods for studying behavior in everyday life

Human behavior is the focus of many studies in the social, health, and behavioral sciences. Yet, few studies use behavioral observation methods to collect objective measures of behavior as it occurs in daily life, out in the real world — presumably the context of ultimate interest. Here, we provide a review of recent studies focused on measuring human behavior using smartphones and their embedded mobile sensors. To draw attention to current advances in the field of smartphone sensing, we describe the daily behaviors captured using these methods, which include movement behaviors (physical activity, mobility patterns), social behaviors (face-to-face encounters, computer-mediated communications), and other daily activities (non-mediated and mediated activities). We conclude by pointing to promising areas of future research for studies using Smartphone Sensing Methods (SSMs) in the behavioral sciences.This research was supported by National Science Foundation (NSF) Award BCS-1520288

In the shadow of coal: How large-scale industries contributed to present-day regional differences in personality and well-being

Recent research has identified regional variation of personality traits within countries but we know little about the underlying drivers of this variation. We propose that the Industrial Revolution, as a key era in the history of industrialized nations, has led to a persistent clustering of well-being outcomes and personality traits associated with psychological adversity via processes of selective migration and socialization. Analyzing data from England and Wales, we examine relationships between the historical employment share in large-scale coal-based industries (coal mining and steam-powered manufacturing industries that used this coal as fuel for their steam engines) and today’s regional variation in personality and well- being. Even after controlling for possible historical confounds (historical energy supply, education, wealth, geology, climate, population density), we find that the historical local dominance of large-scale coal-based industries predicts today’s markers of psychological adversity (lower Conscientiousness [and order facet scores], higher Neuroticism [and anxiety and depression facet scores], lower activity [an Extraversion facet], and lower life satisfaction and life expectancy). An instrumental variable analysis, using the historical location of coalfields, supports the causal assumption behind these effects (with the exception of life satisfaction). Further analyses focusing on mechanisms hint at the roles of selective migration and persisting economic hardship. Finally, a robustness check in the U.S. replicates the effect of the historical concentration of large-scale industries on today’s levels of psychological adversity. Taken together, the results show how today’s regional patterns of personality and well-being may have their roots in major societal changes underway decades or centuries earlier

A Tale of Peaks and Valleys: Sinusoid Relationship Patterns Between Mountainousness and Basic Human Values

Mountains—mythic and majestic—have fueled widespread speculation about their effects on character. Emerging empirical evidence has begun to show that physical topography is indeed associated with personality traits, especially heightened openness. Here, we extend this work to the domain of personal values, linking novel large-scale individual values data ( n = 32,666) to objective indicators of altitude and mountainousness derived from satellite radar data. Partial correlations and conditional random forest machine-learning algorithms demonstrate that altitude and mountainousness are related to increased conservation values and decreased hedonism. Effect sizes are generally small (| r| &lt; .031) but comparable to other socio-ecological predictors, such as population density and latitude. The findings align with the dual-pressure model of ecological stress, suggesting that it might be most adaptive in the mountains to have an open personality to effectively deal with threats and endorse conservative values that promote a social order that minimizes threats. </jats:p