Female-Type Android’s Drive to Quickly Understand a User’s Concept of Preferences Stimulates Dialogue Satisfaction
Dialogue Strategies for Modeling User’s Concept of Preferences
Bibliographic Data
| ID | 8084037 |
|---|---|
| Authors | Takahisa Uchida (0000-0003-2458-500X, corresponding author), Takashi Minato (0000-0003-4071-1352), Yutaka Nakamura (0000-0001-6307-5104), Yuichiro Yoshikawa (0000-0002-3484-0361), Hiroshi Ishiguro (0000-0002-0805-7648) |
| Year | 2021 |
| Volume | 13 |
| Issue | 6 |
| Pages | 1499-1516 |
| Publication date | 2021-01-07 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Social Robotics (JOURNAL) |
| Journal identifiers | ISSN: 1875-4791 • E-ISSN: 1875-4805 |
| Publisher | Springer Science+Business Media (PUBLISHER • DE) |
| DOI | 10.1007/s12369-020-00731-z |
| OpenAlex | W3118365755 |
| Language | EN |
| Citations received | 1 |
| References cited | 19 |
This research develops a conversational robot that stimulates users’ dialogue satisfaction and motivation in non-task-oriented dialogues that include opinion and/or preference exchanges. One way to improve user satisfaction and motivation is by demonstrating the robot’s ability to understand user opinions. In this paper, we explore a method that efficiently obtains the concept of user preferences: likes and dislikes. The concept is acquired by complementing a small amount of user preference data observed in dialogues. As a method for efficient collection, we propose a dialogue strategy that creates utterances with the largest expected complementation. Our experimental results with a female-type android robot suggest that the proposed strategy efficiently obtained user preferences and enhanced dialogue satisfaction. In addition, the strength of user motivation (i.e., long-term willingness to communicate with the android) is only positively correlated with the android’s willingness to understand. Our results not only show the effectiveness of our proposed strategy but also suggest a design theory for dialogue robots to stimulate dialogue motivation, although the current results are derived only from a female-type android
Android (operating system · Human–computer interaction · Robot · Robotics · User satisfaction · AI in Service Interactions · Computer Science · Social Robot Interaction and HRI · Speech and dialogue systems · Artificial Intelligence
| Unique citing works | 1 |
|---|---|
| Citations per year | 1 |
| Citation span | 2025 - 2025 (1) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 1 |