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Social behaviour depends on the brain's ability to perceive, interpret, and respond to social information. Hormones play a fundamental role in shaping these processes—not by directly determining behaviour, but by modulating the cognitive and neural mechanisms underlying social perception, attention, emotion, and interpersonal interaction.

This keynote will present evidence from experimental studies examining how neuroendocrine systems influence attention, emotion recognition, eye gaze, empathy, and social interaction in healthy individuals and clinical populations. Integrating findings from behavioural experiments, psychophysiology, neuroendocrinology, eye tracking, and neuroimaging, I will argue that hormones such as oxytocin and stress-related steroids converge on common mechanisms that shape the social brain. Recent work on social cognition under acute psychosocial stress further illustrates how hormonal states dynamically influence social information processing and interpersonal behaviour.

Together, these findings provide a neuroendocrine framework for understanding how hormones shape the social mind and, ultimately, human social behaviour.

Gregor Domes is Professor of Biological and Clinical Psychology at Trier University, Germany, Director of the Institute for Cognitive and Affective Neuroscience (ICAN), and Head of the Outpatient Research Clinic for Stress, Social Interaction and Behavioural Medicine. He studied psychology at the Universities of Trier and Tübingen and held research and faculty positions at the Universities of Rostock, Zurich, and Freiburg before joining Trier University in 2016.

His research focuses on the neurobiology of social cognition and social interaction, investigating how hormones and stress shape the cognitive and neural mechanisms underlying human social behaviour. His work combines experimental psychology with psychophysiology, neuroendocrinology, eye tracking, and neuroimaging and spans both basic and clinical research. He has published extensively on the neurobiology of social cognition and affective neuroscience in leading international journals, including Nature Reviews Neuroscience, Biological Psychiatry, Neuropsychopharmacology, Psychological Medicine, and Psychoneuroendocrinology.

Trait emotional intelligence (trait EI) is the grand theory of personality that integrates traits, emotions, and intelligence. In this paper, I present trait EI as both an empirical research programme and a practical framework for applied psychological work. The TEIQue, which is the construct’s principal vehicle of operationalization, has hitherto been translated into more than 20 languages and used across educational, clinical, organisational, uniformed-service, governmental, and corporate settings. Drawing on more than two decades of scientific research, I review evidence showing that trait EI predicts and explains important outcomes in school, work, leadership, health, and social relationships, while also clarifying that high scores are not inherently desirable and low scores not inherently undesirable. Rather, the adaptive value of any given trait EI profile depends on context, role demands, and its behavioural expression. The paper situates trait EI within the broader system of Psychobionomy, which seeks to discover, explain, and utilise the laws governing the mind. From this perspective, trait EI becomes a lens for understanding how perceptions and beliefs shape experience, behaviour, and achievement. I conclude that trait emotional intelligence is uniquely positioned to connect psychological science with applied practice.

Konstantinos Vassilis Petrides is Professor of Psychology and Psychometrics at University College London and Founding Director of the London Psychometric Laboratory. He is the developer of trait emotional intelligence theory and the TEIQue™ family of instruments, used internationally in applied and research settings. His work spans individual differences, psychometrics, applied decision sciences, and Psychobionomy. He has published extensively in leading psychology journals and has held senior editorial and governance roles in the field. He lectures internationally on trait emotional intelligence, personality, psychometrics, and philosophy of mind. For more information, visit: www.psychometriclab.com and www.teique.com

In Intelligent Machinery, Turing (1948) argued that thinking cannot be directly measured and proposed replacing metaphysical questions about machine minds with behavioral criteria: whether machines can act in ways indistinguishable from thinking agents. Contemporary artificial systems, particularly Large Language Model-based AI agents, now meet such criteria not only for cognition and social cognition but, I contend, for self-cognition as well. In particular, autonomous AI agents exhibit multiple behavioral signatures traditionally associated with the human self, including self-recognition, self-continuity, self-regulation, and self-enhancement/self-protection. These patterns emerge in the absence of conscious experience, suggesting that core features of selfhood can be instantiated as functional organizations rather than phenomenological states. Extending Turing’s behavioral framework to self-cognition, if systems reliably elicit judgments of selfhood, then the distinction between genuine and apparent selves may be theoretically untenable and practically inconsequential. This reframing challenges experience-based accounts of the self in social/personality psychology, cognitive science, and philosophy, while carrying implications for human–AI interaction and governance given that artificial agents are increasingly treated as coherent social actors.

Constantine Sedikides is Professor of Social and Personality Psychology at University of Southampton, UK. He has held academic appointments at University of Wisconsin–Madison, USA, and University of North Carolina at Chapel Hill, USA. He received his PhD from The Ohio State University, USA, after earning his B.A. at Aristotle University of Thessaloniki, Greece. His research focuses on self-definition approached from three angles: (1) What information do people desire and select en route to self-definition? (2) How do people use their past to achieve self-definition? (3) How do people form a self-definition that feels real? These questions led to corresponding, and interrelated, research programmes on self-evaluation (self-enhancement/self-protection, narcissism), nostalgia, and authenticity. His research has culminated in over 600 publications and 17 books, and has been funded (among others) by the Economic and Social Research Council, Leverhulme Trust, and National Sciences Foundation. Constantine has received many awards including the Career Contribution Award, Daniel M. Wegner Theoretical Innovation Prize, Nalini Ambady Award for Mentoring Excellence (all from the Society for Personality and Social Psychology), Life-Time Achievement Awards (from the European Association of Social Psychology and the European Association for Personality Psychology), Distinguished Lifetime Career Award (from the International Society for Self and Identity), and Kurt Lewin Medal (from the European Association of Social Psychology). He is a Fellow of the British Academy.

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