| Project/Area Number |
23K17164
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| Research Category |
Grant-in-Aid for Early-Career Scientists
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| Allocation Type | Multi-year Fund |
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| Review Section |
Basic Section 90020:Library and information science, humanistic and social informatics-related
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| Research Institution | Kyoto University |
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Principal Investigator |
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| Project Period (FY) |
2023-04-01 – 2027-03-31
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| Project Status |
Granted (Fiscal Year 2023)
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| Budget Amount *help |
¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000)
Fiscal Year 2026: ¥260,000 (Direct Cost: ¥200,000、Indirect Cost: ¥60,000)
Fiscal Year 2025: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
Fiscal Year 2024: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2023: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
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| Keywords | Online Discussion / Discussion Summarization / Informed Discussions / Group Interactions / IBIS / User Behaviour Studies / Deliberation / Conversational Agent / Conversational Agents |
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| Outline of Research at the Start |
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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| Outline of Annual Research Achievements |
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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| Current Status of Research Progress |
Current Status of Research Progress
2: Research has progressed on the whole more than it was originally planned.
Reason
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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| Strategy for Future Research Activity |
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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