IEEE In many applications, Embodied Conversational Agents (ECAs) must be able to express various affects such as emotions or social attitudes. Non-verbal signals, such as smiles or gestures, contribute to the expression of attitudes. Social attitudes …
Within this chapter, we are presenting how game developers could take inspiration from the research in Embodied Conversational Agent to develop non-player characters capable of expressing believable emotional and social reactions. Inspired by the …
In this article, we propose an architecture of a socio-affective Embodied Conversational Agent (ECA). The different computational models of the architecture enable an ECA to express emotions and social attitudes during an interaction with a user. …
This paper presents a socially adaptive virtual agent that can adapt its behaviour according to social constructs (e.g. attitude, relationship) that are updated depending on the behaviour of its interlocutor. We consider the context of job interviews …
In this paper, we present a model and its evaluation for expressing attitudes through sequences of non-verbal signals for Embodied Conversational Agents. To build our model, a corpus of job interviews has been annotated at two levels: the non-verbal …
The use of virtual agents in social coaching has increased rapidly in the last decade. In social coaching, the virtual agent should be able to express different social attitudes to train the user in different situations than can occur in real life. …
This paper presents a model of social attitudes for reasoning about the appropriate attitude to express during an interaction. It combines a theoretical approach with a study of a corpus of human-to-human interactions.
Interpersonal attitudes are expressed by non-verbal behaviors on a variety of different modalities. The perception of these behaviors is influenced by how they are sequenced with other behaviors from the same person and behaviors from other …