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Automatic Analysis of Affect and Personality Analysis in Multiperson Settings

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Designing intelligent systems and interfaces with socio-emotional skills is a challenging task. Past works have mainly focussed on automatically analysing expressions, affect and personality of people in individual settings. However, when we move from single user settings to multiuser and group ones, the process of affect analysis calls for new definitions, new datasets with meaningful annotations, and appropriate feature extraction and classification mechanisms in space and time. This talk questions some of the initial assumptions made in this area, and presents an overview of the works we have undertaken in recent years in human-human and human-human-robot interaction settings.

This talk is part of the NLIP Seminar Series series.

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