Skip to content

Home

The ARTISAL group works on the computational modeling of human behavior, both as a basic research method in the study of human behavior as well as the use of these computational models in a range of education and analysis applications. Work at the lab bridges computer science and psychology. Current research includes modeling human decision-making, social interaction and nonverbal behavior at the individual, dyadic and group level. Specifically, at the individual level, we are using Bayesian approaches to model the relation between the perception of nonverbal expressions, inferences of underlying emotional states and theory of mind reasoning about others. We are also exploring data-driven approaches to making inferences about people from objective, behavioral measures, using smart phone technology. At the dyadic level, we are employing experimental techniques and data driven approaches to study and model human social interaction in negotiation contexts as well as human-agent social interaction in experimental games and virtual reality. At the multi-agent level, we are using data driven approaches to develop models of human behavior in large scale social technical systems under stress from disasters and disruptions.

The lab has a special interest in the application of these models to the design of virtual humans that can  interact with people using verbal and nonverbal behavior. We are also interested in  applications of multi-agent based social simulations. Current research is being applied to craft health interventions, simulate supply chains, study the response to large scale disasters and crowd agent-based interactive narratives for social skills training.

Join Us

  • We always looking for prospective students and interns, especially students interested in pursuing a PhD in Artificial Social Intelligence:
    • Virtual Human technology
    • Computational models of emotion, cognition, theory of mind and social interaction
    • Multimodal interaction between humans and machines
    • Multi-agent based approaches to social simulation
    • Embodied cognition and metaphor
  • We are seeking to hire now post doctoral researchers for research in:
    • Multi-agent systems, POMDPs, Recursive Models, Explainable AI
  • The lab is part of Glasgow's newly awarded UKRI AI Centre for Doctoral Training in Artificial Social Intelligence that is a multi-disciplinary collaboration. The Centre will be funding a growing cohort PhD Computer Science and Psychology students over the next 5 years starting in Fall 2019. Professor Marsella is co-director of the Centre.