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EPSRC CDT in Sensor Technologies for a Healthy and Sustainable Future


Human behaviour sensing for social robotics

Computing that is sensitive to affective and social phenomena aims to equip devices, interfaces and robots with the means to interpret, understand, and respond to human nonverbal behaviour, personality, affect, moods and intentions, similarly to how humans rely on their senses to assess each other's affective and social behaviour. Designing robots with socio-emotional skills is a challenging task. The availability of commercial robots and developments in academia provide us a positive outlook, however, the capabilities of current social robots are still limited.

This talk will focus on sensing and computationally  analysing affect and personality, and will present an overview of the recent collaborative works we have conducted in these areas, in the context of human-robot interaction for both autonomous and telepresence robotics.



Hatice Gunes

Computer Laboratory

University of Cambridge

Dr Hatice Gunes ( is a Senior Lecturer in the University of Cambridge's Computer Laboratory. Her research expertise is in the areas of affective computing and social signal processing that lie at the crossroad of computer vision, signal processing, and machine learning fields applied to computer/robot mediated human-human interactions and human-robot interactions. She has published over 100 papers in these areas. Her recent work has been focusing on Digital Personhood through the EPSRC Being There Project (2013-2017) that aimed to produce greater social integration of robots in public spaces, and to increase access to public spaces in robot proxy forms. Dr Gunes is the Guest Editor of the Frontiers in Robotics and AI's Research Topic on Affective and Social Signals for HRI, the President-Elect of the Association for the Advancement of Affective Computing (AAAC) and the Chair of the Steering Board of IEEE Transactions on Affective Computing. She has also served as an Associate Editor for a number of robotics conferences including IEEE RO-MAN 2016-2017 and ACM/IEEE HRI 2017-2018.

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