Eva Hudlicka, Ph.D., LCSW

Eva Hudlicka, PhD, LCSW has a dual career in computer science (affective computing / artificial intelligence) and psychotherapy. She is a Principal Scientist and President of Psychometrix Associates and a Visiting Lecturer at University of Massachusetts-Amherst.  She is also a licensed clinical social worker, and works in private practice and as an outpatient clinician at a community mental health clinic.

Her primary research focus is the development of computational models of emotion, with emphasis on modeling affective biases on cognition. These models have direct relevance for both basic research on the mechanisms of therapeutic action, and for the development of technologies supporting behavioral health. These include serious therapeutic games and affective virtual agents, such as an affective virtual coach that provides training and coaching in mindfulness meditation, developed by Psychometrix (learn-mindfulness.net).   Previous research includes affect-adaptive user interfaces and affective user modeling, UI and visualization, decision-support systems and knowledge elicitation. Prior to founding Psychometrix Associates, she was a Senior Scientist at Bolt Beranek & Newman in Cambridge, MA.

Dr. Hudlicka is an Associate Editor of the International Jnl. of Synthetic Emotions, and a member of the Editorial Board of the Oxford Series on “Cognitive Models and Architectures”. She previously served as a member of the Editorial Board of the Intl. Jnl. of Machine Consciousness and the Jnl. of Biologically Inspired Cognitive Architectures. She is also a Member of the IEEE Task Force on Player Satisfaction Modeling and was a member of the National Research Council (NRC) committee on “Behavioral Modeling and Simulation”.  She has organized numerous workshops and symposia in affective modeling, and recently chaired a workshop on “Computational Modeling of Cognition-Emotion Interactions: Relevance to Mechanisms of Affective Disorders and Psychotherapeutic Action”, which was held at the 36th Annual Meeting of the Cognitive Science Society.

Dr. Hudlicka has authored over 50 journal and conference papers, and numerous book chapters, has given keynotes and presentations on affective modeling, and taught courses and tutorials in Affective Computing, Computational Emotion Modeling and Human-Computer Interaction.  She recently presented two tutorials at the 13the Biennial Social Work Symposium: “Emerging Affect Theories and Their Relevance for Psychotherapy” and “Beyond Social Media: Advanced Technologies in Social Work Practice”, the latter emphasizing the relevance of advanced AI and affective computing technologies in mental health.

She is a member of the Cognitive Science Society, the International Society for Research on Emotion, the Association for Psychological Science and Emotion Research Net.

Dr. Hudlicka received her BS in Biochemistry from Virginia Tech, her MS from The Ohio State University in Computer Science, and her PhD in Computer Science from the University of Massachusetts-Amherst.  She later received an MSW from the Simmons College Graduate School of Social Work.

Selected recent papers and chapters relevant to applications of artificial intelligence and affective computing in behavioral health include the following:


Book chapters

Virtual Companions, Coaches, and Therapeutic Games in Psychotherapy.  To appear in Artificial Intelligence in Mental Healthcare, D.D. Luxton, ed. (forthcoming)

Virtual Empathic Coaches and Serious Therapeutic Games in Psychotherapy. To appear in Field Guide to Evidence-Based, Technology Careers in Behavioral Health: Professional Career Opportunities for the 21st Century, M.M. Maheu, K. Drude & S. Wright, eds. (forthcoming)

Hudlicka, E. (2011). Affective Gaming in Education, Training and Therapy: Motivation, Requirements, Techniques.  In Handbook of Research on Improving Learning and Motivation through Educational Games: Multidisciplinary Approaches, P. Felicia, ed. Hershey, PA: IGI Global.



Hudlicka, E. (2013). Virtual Training and Coaching of Health Behavior:  Example from Mindfulness Meditation Training. Patient Education and Counseling, 92(2), 160-166.

Hudlicka, E. (2012). Guidelines for Developing Computational Models of Emotions. International Journal of Synthetic Emotions, 2(1).

Hudlicka, E. (2011). Mindfulness Training and Coaching via Virtual Synthetic Characters, 16thCyberTherapy & CyberPsychology Conference, Universite du Quebec en Outaouais, Quebec, Canada. June.

Hudlicka, E. and Broekens, J. (2009). Foundations for Modelling Emotions in Game Characters:  Modelling Emotion Effects on Cognition. In Proceedings of 3rd International Conference on Affective Computing and Intelligent Interaction, Amsterdam.

Hudlicka, E., S. Payr, R. Ventura, C. Becker-Asano, K. Fischer, I. Leite, A. Paiva, C. von Scheve. (2009).  Social interaction with robots and agents: Where do we stand, Where do we go?. In Proceedings of the  3rd International Conference on Affective Computing and Intelligent Interaction, Amsterdam.

Hudlicka, E., Lisetti, C., Hodge, D., Paiva, A., Rizzo, A., Wagner, E. (2008). Artificial Agents for Psychotherapy. In Proceedings of the AAAI Spring Symposium on “Emotion, Personality and Social Behavior”, TR SS-08-04, 60-64. Menlo Park, CA: AAAI.

Hudlicka, E. (2005). Computational Models of Emotion and Personality: Applications to Psychotherapy Research and Practice. In the Proceedings of the 10th Annual Cyber Therapy Conference: A Decade of Virtual Reality, Basel, Switzerland.

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