Work

A Methodology to Design Human-Like Embodied Conversational Agents

Year: 2012

Type: preprint

Abstract: This paper presents a bottom-up methodology to study human-human and human-agent dialogues in order to improve the design of embodied conversational agents (ECAs). The methodology uses a matrix representation of dialogues, constructed by means of a (semi-)automatic annotation process. A multidimensional dialogue pattern extraction and a clustering algorithm are applied to the coding matrices. The extracted patterns model the human behaviours.

Authors: Zacharie Alès, Guillaume Dubuisson Duplessis, Ovidiu Șerban, Alexandre Pauchet

Institution: Laboratoire d'Informatique, du Traitement de l'Information et des Systèmes

Language: French

Topic: Speech and dialogue systems

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W2989358558

Cites: 44

Cited by: 7

Related to: 10