Development and Evaluation of the Dialogue Protocol Aimed at Improving Critical Thinking Through Online Dialogue with a Robot.
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- Homma Takuto
- Faculty of Sociology, Kansai University
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- Takahashi Hideyuki
- Graduate School of Engineering Science, Osaka University Advanced Telecommunications Research, Deep Interaction Science
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- Ban Midori
- Graduate School of Engineering Science, Osaka University
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- Shimaya Jiro
- Graduate School of Engineering Science, Osaka University
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- Fukushima Hirokata
- Faculty of Sociology, Kansai University
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- Moriya Jun
- Faculty of Sociology, Kansai University
Bibliographic Information
- Other Title
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- ロボットとのオンライン対話による批判的思考を促進する対話プロトコルの開発とその評価
Abstract
<p>Dialogue with an artificial agent, such as a robot, can help users reflect on and revise their own thinking. In this research, we developed a novel protocol for dialoguing with a robot to improve users' critical thinking (CT) skills and investigated its effectiveness. This "CT dialogue protocol" allows participants to consider their own opinions from alternative perspectives and to use CT skills. Study 1 examined the efficacy of this protocol by comparing two groups: one engaged in the CT dialogue protocol and the other engaged in dialogues based on simple questions. The results showed that only the group using the CT dialogue protocol showed a significant improvement in CT skills. Study 2 examined whether the effects of the CT dialogue protocol varied with the dialogue setting by comparing two groups: one engaged in online dialogue using a web conferencing system and the other engaged in face-to-face dialogue. The results showed that the online dialogue group showed an improvement in CT skills. Overall, these results suggest that the CT dialogue protocol, especially when implemented in an online environment with a robot as the dialogue partner, is effective in improving users' CT skills.</p>
Journal
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- The Transactions of Human Interface Society
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The Transactions of Human Interface Society 26 (1), 149-158, 2024-02-25
Human Interface Society
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Details 詳細情報について
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- CRID
- 1390017843853274752
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- ISSN
- 21868271
- 13447262
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- Text Lang
- ja
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- Data Source
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- JaLC
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- Abstract License Flag
- Disallowed