Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

A Dialogue System that Models User's Opinion Based on Information Content

Version 1 : Received: 16 September 2022 / Approved: 21 September 2022 / Online: 21 September 2022 (02:27:12 CEST)

A peer-reviewed article of this Preprint also exists.

Ohira, Y.; Uchida, T.; Minato, T.; Ishiguro, H. A Dialogue System That Models User Opinions Based on Information Content. Multimodal Technol. Interact. 2022, 6, 91. Ohira, Y.; Uchida, T.; Minato, T.; Ishiguro, H. A Dialogue System That Models User Opinions Based on Information Content. Multimodal Technol. Interact. 2022, 6, 91.

Abstract

When designing rule-based dialogue systems, the need for elaborate design by the designer is a challenge for dialogue systems. One way to reduce the cost of creating content is to generate utterances from data collected in an objective and reproducible manner. This study focuses on rule-based dialogue systems using survey data, and more specifically on opinion dialogue where the system models the user. In opinion dialogue, there has not been much study of topic transition methods for modeling users while maintaining their motivation for dialogue. To model them, we adopted information content. Our contribution includes the design of a rule-based dialogue system that does not require elaborate design. We also reported an appropriate topic transition method based on information content. This is confirmed by the influence of the user's personality characteristics. The content of questions can give the user a sense of the system's intention to understand them. We also reported the possibility that the system's rational intention contributes to the user's motivation for dialogue with the system.

Keywords

opinion model; user modeling; information content; dialogue strategy; dialogue system

Subject

Computer Science and Mathematics, Computer Science

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