Effectiveness of Conversational Robots Capable of Estimating and Modeling User Values

Sakamoto, Yuki; Uchida, Takahisa; Ishiguro, Hiroshi

International Journal of Social Robotics, 2025, 17, 1003-1017

Number of Access:29（2025-08-14 03:32 Counts）

Identifier to cite or link to this item: https://hdl.handle.net/11094/102251

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Title
Effectiveness of Conversational Robots Capable of Estimating and Modeling User Values
Creator
CreatorName
Sakamoto, Yuki
NRID
1000030906417 1000030906417
researchmap permalink
TakahisaUchida TakahisaUchida
Scopus Author ID
57191886812 57191886812
CreatorName
Uchida, Takahisa
NRID
1000010232282 1000010232282
ORCID
0000-0002-0805-7648 0000-0002-0805-7648
researchmap permalink
read0013747 read0013747
Scopus Author ID
26643316500 26643316500
CreatorName
Ishiguro, Hiroshi
Subject
Conversational robot
Human values
Human-robot interaction (HRI)
Personalization
Description
The version of record of this article, first published in International Journal of Social Robotics, is available online at Publisher’s website: https://doi.org/10.1007/s12369-025-01258-x.
Abstract
Personalizing a dialogue system according to the user has been recognized to have various positive effects. Despite the significance of user values, concepts guiding choices and evaluations being recognized in communication, they have not been considered in personalized dialogue systems. Therefore, this study constructs a dialogue system that understands user values through conversation. Furthermore, the impact of understanding values on the interactions between dialogue systems and users is examined. The method is organized with a user model of preferences and values based on the established means-end chain model. We used a large language model (LLM) to estimate values based on the users’ preferences and the reasons they prefer them. Furthermore, an infinite relational model (IRM) estimates the relationships between multiple elements within the user model. The experiments show that the proposed method could estimate user values and enhance animacy and perceived intelligence in users’ impressions of an android robot, prompting new insights into users’ own values. The perception of the robot contributes to improved-quality interactions, and new insights into values facilitate a deeper self-understanding of users. This achievement, demonstrating the effects of using values for interaction, can provide valuable insights into human-robot interaction.
Publisher
Springer Science and Business Media B.V.
Source Title
International Journal of Social Robotics
Volume (Issue)
17
Page
1003-1017
Date of Issued
2025-05-15
Language
English
Handle URL
https://hdl.handle.net/11094/102251
PISSN
18754791
eISSN
18754805
Relation.isIdenticalTo
DOI (Publisher Version)
https://doi.org/10.1007/s12369-025-01258-x
Access Rights
open access
CopyRight
This article is licensed under a Creative Commons Attribution 4.0 International License.
oaire:version
Version of Record
Category
学術雑誌論文 Journal Article