Roger Needham lecture 2011

Machine understanding of human behaviour

Speaker: Prof Maja Pantic, Professor of Affective and Behavioral Computing.

A widely accepted prediction is that computing will move to the background, weaving itself into the fabric of our everyday living spaces and projecting the human user into the foreground. To realize this prediction, next-generation computing should develop anticipatory user interfaces that are human-centred, built for humans, and based on naturally occurring multimodal human behaviour such as affective and social signalling.

This talk will discuss a number of components of human non-verbal behaviour, like facial expressions and vocal outbursts, and a number of specific behaviours, like affective states and social signals. How can they can be automatically sensed and analysed by computer? What is the past research in the field as conducted by the iBUG group at Imperial College London? How far are we from enabling computers to understand human behaviour?

About the speaker

Maja Pantic is a Professor of Affective and Behavioral Computing, and leader of the i·BUG group working on machine analysis of human non-verbal behaviour and its applications to human-computer, human-robot, and computer-mediated human-human interaction.

Prof. Pantic has published more than 250 technical papers in the areas of machine analysis of facial expressions, machine analysis of human body gestures, audiovisual analysis of emotions and social signals, and human-centred machine interfaces.

She has more than 15,000 citations to her work and has served as the keynote speaker, chair and co-chair - and an organisation / program committee member - in her areas of expertise at numerous conferences.