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From Human Affect and Personality to Social Robots: Affective and Social Signal Processing

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If you have a question about this talk, please contact David Greaves .

Computing that is sensitive to affective and social phenomena aims to equip devices and interfaces with the means to interpret, understand, and respond to human personality, affect, moods and intentions – similarly to how humans rely on their senses to assess each other’s affective and social behaviour. This talk will focus on automatic recognition of affect and social signals, and will present an overview of recent research works my team has conducted in these fields. Automatic affect recognition will be covered in the context of human-computer and human-virtual agent interactions, and social signal processing will be explored in the context of personality perception in human-robot interactions.

This talk is part of the Wednesday Seminars - Department of Computer Science and Technology series.

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