Emotion Selection in a Multi-Personality Conversational Agent

Jean-Claude Heudin

2017

Abstract

Conversational agents and personal assistants represent an historical and important application field in artificial intelligence. This paper presents a novel approach to the problem of humanizing artificial characters by designing believable and unforgettable characters who exhibit various salient emotions in conversations. The proposed model is based on a multi-personality architecture where each agent implements a facet of its identity, each one with its own pattern of perceiving and interacting with the user. In this paper we focus on the emotion selection principle that chooses, from all the candidate responses, the one with the most appropriate emotional state. The experiment shows that a conversational multi-personality character with emotion selection performs better in terms of user engagement than a neutral mono-personality one.

Paper Citation

in Harvard Style

Heudin J. (2017). Emotion Selection in a Multi-Personality Conversational Agent . In Proceedings of the 9th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-758-220-2, pages 34-41. DOI: 10.5220/0006113600340041

in Bibtex Style

@conference{icaart17,
author={Jean-Claude Heudin},
title={Emotion Selection in a Multi-Personality Conversational Agent},
booktitle={Proceedings of the 9th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2017},
pages={34-41},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006113600340041},
isbn={978-989-758-220-2},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - Emotion Selection in a Multi-Personality Conversational Agent
SN - 978-989-758-220-2
AU - Heudin J.
PY - 2017
SP - 34
EP - 41
DO - 10.5220/0006113600340041