Alexander Kathan

Papers

Total Citations

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About

Alexander Kathan is a pioneering researcher at the intersection of social psychology and artificial intelligence, specializing in computational models of nuanced human behavior. His work focuses on two key areas: automated humour recognition and the computational modelling of charisma—both essential for developing more naturalistic human-robot interaction. Kathan’s most-cited paper (16 citations) introduces a personalised approach to audiovisual humour recognition, addressing the critical challenge of individual-level fairness in AI systems. This work acknowledges humour as one of the most subtle and contextualised behavioural patterns, with profound impacts on human emotions and social cognition. In his subsequent research (6 citations), Kathan provides a "brick by brick blueprint" for building charismatic AI, exploring how machines can be endowed with the ability to attract and influence others—a skill with vast applications in human-robot interaction and computational social science. His contributions are notable for bridging the gap between complex social phenomena and machine learning, tackling both technical accuracy and ethical fairness. Kathan’s research is laying the groundwork for AI that can genuinely understand and replicate the subtleties of human social behaviour, making him a key figure in the development of emotionally intelligent machines.