Andrea Kleinsmith

University of Florida


Lecture Information:
  • April 24, 2024
  • 11:53 AM
  • ECS: 241

Speaker Bio

Andrea Kleinsmith is a postdoctoral researcher under Professor Benjamin Lok in the Virtual Experiences Research Group in the Computer and Information Science and Engineering Department at the University of Florida. Andrea’s primary research interests are in Human-Computer Interaction and Affective Computing and focuses on measuring and modeling body expressions “in the wild” to create systems that automatically recognize users’ emotional and mental states. Prior to joining Florida, Andrea was a postdoctoral researcher under Dr. Marco Gillies at Goldsmiths, University of London in the UK. Andrea received her Ph.D. in Computer Science from University College London, UK in 2010, her M.Sc. in Computer Science from the University of Aizu in Japan, and her B.A. in Psychology from the University of Oregon.

Abstract

As the technology with which humans interact on a daily basis becomes more and more ubiquitous, understanding how to facilitate the interaction to create a more positive and meaningful experience is a key issue in human-computer interaction and other areas of computer science. Broadly, my research focuses on building an understanding human behavior in terms of emotion and empathy expression and perception and using that understanding to model and recognize expressive behaviors. In this talk, I will highlight my results in the area of affective human-computer interaction and interactive technologies. Emotion expression and perception from body expressions are investigated to build models of emotionally expressive nonverbal behavior for automatic recognition and to design movement based interfaces. Virtual patients are leveraged to train medical students’ interpersonal communication skills. In particular, I will discuss the role that virtual patients can play in empathic communication skills training. Finally, I will discuss my future research direction which aims at measuring and modeling affective body expressions in order to build recognition systems and training applications for real world situations with first responders.