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Prof Nadia Berthouze
2.10
66-72 Gower Street
London
UK
WC1E 6EA
Prof Nadia Berthouze profile picture
Appointment
  • Professor of Affective Interaction and Computing
  • UCL Interaction Centre
  • Div of Psychology & Lang Sciences
  • Faculty of Brain Sciences
Biography

Nadia Bianchi-Berthouze is a Full Professor in Affective Computing and Interaction at the Interaction Centre of the University College London (UCL). She received her PhD in Computer Science for Biomedicine from the University of the Studies of Milan, Italy. Her research focuses on designing technology that can sense the affective state of its users and use that information to tailor the interaction process. She has pioneered the field of Affective Computing and for more than a decade she has investigated body movement and more recently touch behaviour as means to recognize and measure the quality of the user experience in full-body computer games, physical rehabilitation and textile design. She also studies how full-body technology and body sensory feedback can be used to modulate people’s perception of themselves and of their capabilities to improve self-efficacy and copying capabilities. She has published more than 200 papers in Affective Computing, HCI, and Pattern Recognition. She was awarded the 2003 Technical Prize from the Japanese Society of Kansei Engineering and she has given a TEDxStMartin talk (2012).

Research Summary

The premise of my research is that affect, emotion, and subjective experience should be factored into the design of interactive technology. Indeed, for technology to be truly effective in our social network, it should be able to adapt to the affective needs of each user group or even each individual. The aim of my research is to create systems/software that can sense the affective state of their users and use that information to tailor the interaction process. Body movement and touch appear to be promising media for this goal: they support cognitive processes, regulate emotions, and mediate affective and social communication. I am currently pursuing three lines of research looking at body movement and touch as a way to induce, recognize and measure the quality of experience of humans and in particularly of humans interacting and engaging through/with technology. I am trying to identify the various factors that affect the recognition process, including cross-cultural differences and task context. I investigates such questions in various context such as physical rehabilitation,  textile experiences and creative processes, long distance sport activities, social robots.

Teaching Summary

Affective Interaction The lectures will aims at : 1) giving a basic introduction to the theory of emotion from psychology and neuroscience viewpoints and to understand its importance in human decision and communication processes; 2) addressing the challenges in designing and evaluating systems that are capable of affectively interacting with humans. Methods to design, measure and influence the affective experience will be taught. Examples of current applications (e.g. in entertainment, education, health, therapy, rehabilitation, service robotics) will be used to identify problems and design solutions. Finally, the ethical implications (e.g., privacy) of affective interactive systems will be discussed.

Affective Computing and HRI
The module targets students who have no previous knowledge in cognitive science and emotion theory and therefore the aim of Part 1 of the module is to give a basic introduction to the theory of emotion from psychology and neuroscience viewpoints and to understand its importance in human decision and communication processes. Part 2 will concentrate on the application of machine learning techniques to emotion recognition by looking at current applications in entertainment, education, and health. Part 3 will focus on the challenges in designing robots that are capable of socially interacting with humans. Examples of current applications in entertainment, education, health, therapy, rehabilitation, service robotics, rescue robots will be used to identify problems and discuss machine learning solutions for the topics taught in Parts 2 and 3.

Appointments
01-OCT-2015 Professor UCLIC University CollegeLondon, United Kingdom
01-OCT-2013 – 30-SEP-2015 Reader in Affective Computing UCLIC UCL, United Kingdom
01-OCT-2010 – 30-SEP-2013 Senior Lecturer in Affective Computing UCLIC University College London, United Kingdom
Academic Background
1995   Doctor of Philosophy Universita degli Studi di Milano
1991   Laurea Universita degli Studi di Milano
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