Talk summary: Designing artificially intelligent systems and interfaces with socio-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 limited. In this talk, I will present some of our research explorations in this area, including virtual-reality-based cognitive training with affective adaptation, and tele-presence robotics that is sensitive to socio-emotional phenomena with its potential use for well-being.
Dr. Gunes is a Reader (Associate Professor) in Affective Intelligence and Robotics (AFAR) and the Director of the AFAR Lab at University of Cambridge’s Department of Computer Science and Technology (https://www.cl.cam.ac.uk/~hg410/). Her expertise is in the areas of affective computing and social signal processing cross-fertilizing research in multimodal interaction, computer vision, signal processing, machine learning and social robotics. She has published over 100 papers in these areas (H-index=31, citations > 4750). Dr Gunes is the former President of the Association for the Advancement of Affective Computing (2017-2019), the General Co-Chair of ACII 2019, and the Program Co-Chair of ACM/IEEE HRI 2020 and IEEE FG 2017. She was the Chair of the Steering Board of IEEE Transactions on Affective Computing in the period of 2017-2019 and has been an active member of the research community in shaping interdisciplinary dialogue at the international level. In 2019 she co-led the effort for creating a new Theme on Reproducibility for Human-Robot Interaction at the ACM/IEEE HRI 2020 Conference, and in 2014 she co-led the effort for creating a new area at the ACM Multimedia Conference on Emotional and Social Signals which has been running ever since. In 2019 she has been awarded the prestigious EPSRC Fellowship to investigate adaptive robotic emotional intelligence for well-being and has been named a Faculty Fellow of the Alan Turing Institute. Dr Gunes is a Senior Member of the IEEE and a member of the ACM.