arrow
Return

Fully generated scripted dialogue for embodied agents

delete2008-06-01
delete27
delete
OA
AI
K
Kees van Deemter *
B
Brigitte Krenn
P
Paul Piwek
M
Martin Klesen
M
Marc L. Schröder
S
Stefan Baumann
DOI:10.1016/j.artint.2008.02.002delete
deleteOriginal
deleteShare
deleteSave
View PDF
Abstract

Abstract

En 中文
This paper presents the NECA approach to the generation of dialogues between Embodied Conversational Agents (ECAs). This approach consist of the automated construction of an abstract script for an entire dialogue (cast in terms of dialogue acts), which is incrementally enhanced by a series of modules and finally performed by means of text, speech and body language, by a cast of ECAs. The approach makes it possible to automatically produce a large variety of highly expressive dialogues, some of whose essential properties are under the control of a user. The paper discusses the advantages and disadvantages of NECA's approach to Fully Generated Scripted Dialogue (FGSD), and explains the main techniques used in the two demonstrators that were built. The paper can be read as a survey of issues and techniques in the construction of ECAs, focusing on the generation of behaviour (i.e., focusing on information presentation) rather than on interpretation. (c) 2008 Published by Elsevier B.V.
Keywords:
Embodied Conversational Agents
Fully Generated Scripted Dialogue
multimodal interfaces
emotion modelling
affective reasoning
Natural Language Generation
speech synthesis
body language
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Artificial Intelligence Review cover
Artificial Intelligence Review
IF:
13.9
Papers:
6.1K
Citations:
1.9W

Organization

U
University of Cologne
Scholars:
3.0W
Papers: 2.1W
Citations: 2.4W
U
University of Vienna
Scholars:
1.7W
Papers: 1.6W
Citations: 40
U
University of Aberdeen
Scholars:
1.3W
Papers: 1.3W
Citations: 2.0W
researcher View more organizations