| 研究課題/領域番号 |
23K17164
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| 研究種目 |
若手研究
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| 配分区分 | 基金 |
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| 審査区分 |
小区分90020:図書館情報学および人文社会情報学関連
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| 研究機関 | 京都大学 |
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研究代表者 |
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| 研究期間 (年度) |
2023-04-01 – 2027-03-31
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| 研究課題ステータス |
交付 (2023年度)
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| 配分額 *注記 |
4,550千円 (直接経費: 3,500千円、間接経費: 1,050千円)
2026年度: 260千円 (直接経費: 200千円、間接経費: 60千円)
2025年度: 2,210千円 (直接経費: 1,700千円、間接経費: 510千円)
2024年度: 780千円 (直接経費: 600千円、間接経費: 180千円)
2023年度: 1,300千円 (直接経費: 1,000千円、間接経費: 300千円)
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| キーワード | Online Discussion / Discussion Summarization / Informed Discussions / Group Interactions / IBIS / User Behaviour Studies / Deliberation / Conversational Agent / Conversational Agents |
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| 研究開始時の研究の概要 |
In this study, 1)I will develop facilitation messages database to enhance automated agent posted facilitation messages). 2)Then, I plan to propose an adaptive facilitation approach to enhance conversational agent facilitation threshold behavior. 3) Third, I will develop a discussion summarizations timeline based on Issue-based Information System (IBIS) to facilitated more informed engagement. 4) Finally, I will establish an analytical model using S-O-R framework to verify proposed Tasks (T1-T3) while conducting social experiments.
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| 研究実績の概要 |
I proposed using automated agents to improve interactive discussions and support online education. Initially, I conducted research on the effectiveness of these agents in online group discussions, with a focus on digital education processes. To evaluate the efficiency of the agents, human-agent behavioral studies were carried out. The results of these studies were presented at various national and international conferences. Furthermore, I explored AI-assisted discussion facilitation timelines to streamline collaborative processes in online discussions. The research resulted in the proposing a novel AI-assisted facilitation approach, that adopted an argumentation-based approach (IBIS) to clarify each phase of discussion timeline. The findings have been submitted for publication.
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| 現在までの達成度 (区分) |
現在までの達成度 (区分)
2: おおむね順調に進展している
理由
The study evaluated the effectiveness of an AI-assisted facilitation framework for online education conversations. The research achieved its objectives that were initially posed, and the results were presented at national and international conferences.
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| 今後の研究の推進方策 |
I am planning to conduct a series of research and experiments to evaluate the effectiveness of agent facilitation in online conversations. I will analyze and summarize the agent's performance based on their ability to keep up with the discussion timeline. Additionally, I intend to design facilitation strategies using emerging technologies, such as LLM-based Task-oriented conversational agents, as an extension of the findings reported previously. I will also conduct experiments to evaluate the efficiency of these strategies to support online education conversations.
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