Response generation reflecting the personality of a chat dialogue system

Toru Sugimoto, Yusuke Temmanya

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper investigates the relationship between speakers' personalities and their utterances in dialogue, and propose a response generation method that reflects the personality of a chat dialogue system. We construct a corpus of utterances by persons with specific personality features, and calculate percentages of various types of speech act. From the analysis result, features of utterances by various personalities are extracted. With these utterance features, response generation strategies for specific personality features are designed and implemented in a simple chat dialogue system. The experimental result shows that the personality features of 'shyness' and 'nurturing parent' are appropriately reflected in our dialogue system.

Original languageEnglish
Title of host publication2020 Joint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728197326
DOIs
Publication statusPublished - 2020 Dec 5
EventJoint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2020 - Virtual, Tokyo, Japan
Duration: 2020 Dec 52020 Dec 8

Publication series

Name2020 Joint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2020

Conference

ConferenceJoint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2020
CountryJapan
CityVirtual, Tokyo
Period20/12/520/12/8

Keywords

  • Chat dialogue system
  • Egogram
  • Personality
  • Response generation
  • Speech act analysis

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Software
  • Computational Mathematics

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