大規模言語モデルを用いた説得研究：個別性への新たなアプローチ

• Project/Area Number: 25K00869
• Research Category: Grant-in-Aid for Scientific Research (B)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 10010:Social psychology-related
• Research Institution: Keio University
• Principal Investigator: 平石 界 慶應義塾大学, 文学部(三田), 教授 (50343108)
• Project Period (FY): 2025-04-01 – 2029-03-31
• Project Status: Adopted (Fiscal Year 2025)
• Budget Amount: ¥18,720,000 (Direct Cost: ¥14,400,000、Indirect Cost: ¥4,320,000); Fiscal Year 2028: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000); Fiscal Year 2027: ¥4,940,000 (Direct Cost: ¥3,800,000、Indirect Cost: ¥1,140,000); Fiscal Year 2026: ¥8,450,000 (Direct Cost: ¥6,500,000、Indirect Cost: ¥1,950,000); Fiscal Year 2025: ¥3,510,000 (Direct Cost: ¥2,700,000、Indirect Cost: ¥810,000)