LCSR Seminar: Hatice Gunes

Description

Hatice Gunes, a professor of affective intelligence and robotics at the University of Cambridge's Department of Computer Science and Technology, will give a talk titled "Emotional Intelligence for Human-Embodied AI Interaction" for the Laboratory for Computational Sensing and Robotics.

Please attend the event by using the Zoom link, available on the department event page.

Abstract:

Emotional intelligence for artificial systems is not a luxury but a necessity. It is paramount for many applications that require both short- and long-term engaging human–technology interactions, including entertainment, hospitality, education, and health care. However, creating artificially intelligent systems and interfaces with social and emotional skills is a challenging task. Progress in industry and developments in academia provide us a positive outlook, however, the artificial emotional intelligence of the current technology is still quite limited. Creating technology with artificial emotional intelligence requires the development of perception, learning, action and adaptation capabilities, and the ability to execute these pipelines in real-time in human-AI interactions. Truly addressing these challenges relies on cross-fertilization of multiple research fields, including psychology, nonverbal behavior understanding, psychiatry, vision, social signal processing, affective computing, and human-computer and human-robot interaction. My lab's research has been pushing the state of the art in a wide spectrum of research topics in this area, including the design and creation of new datasets; novel feature representations and learning algorithms for sensing and understanding human nonverbal behaviors in solo, dyadic and group settings; designing short/long-term human-robot adaptive interactions for well-being; and creating algorithmic solutions to mitigate the bias that creeps into these systems. In this talk, I will present the recent explorations of the Cambridge Affective Intelligence and Robotics Lab in these areas with insights for human-embodied-AI-interaction research.