Individuals tend to compare themselves with others, and the results of these self-evaluations influence subsequent performance. When individuals perceive an advantage over their rivals (challenge-type response), they achieve higher levels of performance. According to the biopsychosocial model of challenge and threat, benefits of favourable appraisals are partly mediated by cardiovascular efficiency, which is increased by challenge and decreased by threat evaluations. In this study, we tested whether the biopsychosocial model can be extended to predict behavioural outcomes in esports. We expected that challenge-type evaluations would increase performance compared to threat-type evaluations. Eighty-two men were assigned to a challenge or threat group and completed three rounds of Counter-Strike: Global Offensive – a video game popular in esports. Individuals with the highest scores were awarded cash prizes. Cardiovascular markers of challenge and threat, cognitive appraisals, and game scores were recorded. We manipulated the social challenge and social threat evaluation by informing participants that their performance in the initial round was superior (challenge) or inferior (threat) compared with other gamers. We found that individuals with more gaming experience, believed they were better than other gamers, had higher heart rate and, in turn, achieved higher scores. These effects were related to initial situational appraisal at the baseline and were not boosted by feedback provided during the actual performance. These results are the first to document that social comparisons among gamers are accurate in the prediction of future physiological and behavioural outcomes. Furthermore, these findings emphasize that physiological responses mediate relationships between action-related cognitions and performance.

Subjective experience and physiological activity are fundamental components of emotion. There is an increasing interest in the link between experiential and physiological processes across different disciplines, e.g., psychology, economics, or computer science. However, the findings largely rely on sample sizes that have been modest at best (limiting the statistical power) and capture only some concurrent biosignals. We present a novel publicly available dataset of psychophysiological responses to positive and negative emotions that offers some improvement over other databases. This database involves recordings of 1157 cases from healthy individuals (895 individuals participated in a single session and 122 individuals in several sessions), collected across seven studies, a continuous record of self-reported affect along with several biosignals (electrocardiogram, impedance cardiogram, electrodermal activity, hemodynamic measures, e.g., blood pressure, respiration trace, and skin temperature). We experimentally elicited a wide range of positive and negative emotions, including amusement, anger, disgust, excitement, fear, gratitude, sadness, tenderness, and threat. Psychophysiology of positive and negative emotions (POPANE) database is a large and comprehensive psychophysiological dataset on elicited emotions.

Challenge and threat models predict that once individuals become engaged with performance, their evaluations and cardiovascular response determine further outcomes. Although the role of challenge and threat in predicting performance has been extensively tested, few studies have focused on task engagement. We aimed to investigate task engagement in performance at the psychological and physiological levels. We accounted for physiological task engagement by examining blunted cardiovascular reactivity, the third possible cardiovascular response to performance, in addition to the challenge/threat responses. We expected that low psychological task engagement would be related to blunted cardiovascular reactivity during the performance. Gamers (N = 241) completed five matches of the soccer video game FIFA 19. We recorded psychological task engagement, heart rate reactivity, and the difference between goals scored and conceded. Lower psychological task engagement was related to blunted heart rate reactivity during the performance. Furthermore, poorer performance in the previous game was related to increased task engagement in the subsequent match. The findings extend existing literature by providing initial evidence that blunted cardiovascular reactivity may serve as the index of low task engagement.

Esports refers to competitive video gaming where individuals compete against each other in organized tournaments for prize money. Here, we present the Competitive Esports Physiological, Affective, and Video (CEPAV) dataset, in which 300 male Counter Strike: Global Offensive gamers participated in a study aimed at optimizing affect during esports tournament1. The CEPAV dataset includes (1) physiological data, capturing the player’s cardiovascular responses from before, during, and after over 3000 CS: GO matches; (2) self-reported affective data, detailing the affective states experienced before gameplay; and (3) video data, providing a visual record of 552 in-laboratory gaming sessions. We also collected (affect-related) individual differences measures (e.g., well-being, ill-being) across six weeks in three waves. The self-reported affective data also includes gamers’ natural language descriptions of gaming affective situations. The CEPAV dataset provides a comprehensive resource for researchers and analysts seeking to understand the complex interplay of physiological, affective, and behavioral factors in esports and other performance contexts.

Affective responses during stressful, high-stakes situations can play an important role in shaping performance. For example, feeling shaky and nervous at a job interview can undermine performance, whereas feeling excited during that same interview can optimize performance. Thus, affect regulation—the way people influence their affective responses—might play a key role in determining high-stakes outcomes. To test this idea, we adapted a synergistic mindsets intervention (SMI) (Yeager
et al
. 2022
Nature
607
, 512–520 (doi:
10.1038/s41586-022-04907-7
)) to a high-stakes esports context. Our approach was motivated by the idea that (i) mindsets both about situations and one’s stress responses to situations can be shaped to help optimize stress responses, and (ii) challenge versus threat stress responses will be associated with improved outcomes. After a baseline performance task, we randomly assigned gamers (
n
= 300) either to SMI or a control condition in which they learned brain facts. After two weeks of daily gaming, gamers competed in a cash-prize tournament. We measured affective experiences before the matches and cardiovascular responses before and throughout the matches. Contrary to predictions, gamers did not experience negative affect (including feeling stressed), thus limiting the capacity for the intervention to regulate physiological responses and optimize performance. Compared with the control participants, synergistic mindsets participants did not show greater challenge responses or improved performance outcomes. Though our adaptation of Yeager
et al
.’s SMI did not optimize esports performance, our findings point to important considerations regarding the suitability of an intervention such as this to different performance contexts of varying degrees of stressfulness.

Experiencing an abundance of positive and negative emotions (emodiversity) can predict better outcomes than positive or negative emotions in separation. We tested whether state and trait emodiversity influence behavior in challenging social situations and whether this link is mediated by parasympathetic activation. Two hundred ten undergraduate students reported their emotions from the preceding month and were then randomly assigned to one of four movie-clip conditions: emodiverse (varied positive and negative emotions), positive emotions, negative emotions, or neutral. Afterward, participants engaged in an ultimatum game involving an uneven monetary split. They had to decide either to accept the offer, which would be a prosocial act financially benefit the proposer, or reject it, which would financially harm the proposer. Electrocardiogram, hemodynamic, and respiratory response were recorded continuously. We found that emodiversity, whether temporary or long-term, did not affect participants’ social decisions or physiological responses. Contrary to the emodiversity hypothesis, we found more straightforward effects. First, inducing negative emotions adversely affected participants’ affect and increased their likelihood of rejecting the offer. Second, participants with higher positive affect, greater parasympathetic activation, and faster breathing rates were more likely to accept the offer. In summary, we found little support for the proposed benefits of emodiversity. Instead, our findings highlighted well-established affective and physiological effects (i.e., parasympathetic activation), demonstrating that positive emotions were associated with increased prosocial behavior, whereas negative emotions reduced it. (PsycInfo Database Record (c) 2026 APA, all rights reserved)