Work

Social Attitude Recognition in Multimodal Interaction with a Pedagogical Agent

Year: 2012

Type: article

Abstract: Conversational agents have been widely used in pedagogical contexts. They have the advantage of offering to users not only a task-oriented support, but also the possibility to relate with the system at social level. Therefore, besides endowing the conversational agent with knowledge necessary to fulfill pedagogical goals, it is important to provide the agent with social intelligence. To do so the agent should be able to recognize the social attitude of the user during the interaction in order to accommodate the conversational strategy. In this paper we illustrate how we defined and applied a model for recognizing the social attitude of the student in natural interaction with a Pedagogical Conversational Agent (PCA) starting from the linguistic, acoustic and gestural analysis of the communicative act.

Source: DOAJ (DOAJ: Directory of Open Access Journals)

DOI: 10.20368/1971-8829/649

Authors: De Carolis, Berardina, Ferilli, Stefano, Novielli, Nicole, Leuzzi, Fabio, Rotella, Fulvio

Institution: University of Bari Aldo Moro

Language: English

Topic: Intelligent Tutoring Systems and Adaptive Learning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: green

OpenAlex ID: W1593731314

FWCI:

Cites: 25

Cited by: 1

Related to: 10