Conversation Strategy in Knowledge Contents Refinement and Utilization of Gamified Crowdsourcing

• Project/Area Number: 18K11451
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 61030:Intelligent informatics-related
• Research Institution: Ritsumeikan University
• Principal Investigator: Kuwabara Kazuhiro 立命館大学, 情報理工学部, 教授 (10374092)
• Project Period (FY): 2018-04-01 – 2022-03-31
• Project Status: Completed (Fiscal Year 2021)
• Budget Amount: ¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000); Fiscal Year 2021: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000); Fiscal Year 2020: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000); Fiscal Year 2019: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000); Fiscal Year 2018: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
• Keywords: 知識コンテンツ / 会話戦略 / クラウドソーシング / ゲーミフィケーション

Outline of Final Research Achievements

This study aimed to identify a method for building a high-quality knowledge base. We focused on a method for acquiring and verifying knowledge from many users in the form of a quiz game. The types of quiz game we considered were a fill-in-the-blanks quiz for knowledge acquisition and a Yes-No quiz for verification. Simulation experiments confirmed that by controlling the order of questions in the quiz game, it is possible to efficiently acquire knowledge that is distributed among many users and to verify the acquired knowledge in parallel.

Academic Significance and Societal Importance of the Research Achievements

知的なシステムを実現する上では、高品質な知識ベースが欠かせない。機械学習技術の発展により、大量のデータから知識を自動的に獲得することが可能になっているものの、必ずしも質の高い知識が得られるとは限らない。高品質な知識とするには人間の能力を活用することが有望である。本研究では多数の人間の協力を得て効率よく知識を獲得・検証する手法を提案したところに学術的な意義がある。また、社会にとって有用な知的なシステムの構築に貢献できるという社会的な意義がある。

Research Products

• [Journal Article] Validating Knowledge Contents with Blockchain-Assisted Gamified Crowdsourcing (2021)
  • Author(s): Helun Bu and Kazuhiro Kuwabara
  • Journal Title: Vietnam Journal of Computer Science Volume: - Issue: 04 Pages: 471-491
  • DOI: 10.1142/s2196888821500202
  • Peer Reviewed / Open Access
• [Journal Article] Tuning a conversation strategy for interactive recommendations in a chatbot setting (2019)
  • Author(s): Yuichiro Ikemoto, Varit Asawavetvutt, Kazuhiro Kuwabara and Hung-Hsuan Huang
  • Journal Title: Journal of Information and Telecommunication Volume: 3 Issue: 2 Pages: 180-195
  • DOI: 10.1080/24751839.2018.1544818
  • Peer Reviewed / Open Access
• [Presentation] Toward Crowdsourced Knowledge Graph Construction: Interleaving Collection and Verification of Triples (2022)
  • Author(s): Helun Bu and Kazuhiro Kuwabara
  • Organizer: Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART
  • Int'l Joint Research
• [Presentation] Task Selection Based on Worker Performance Prediction in Gamified Crowdsourcing (2021)
  • Author(s): Helun Bu and Kazuhiro Kuwabara
  • Organizer: Agents and Multi-Agent Systems: Technologies and Applications 2021, Proceedings of 15th KES International Conference, KES-AMSTA 2021
  • Int'l Joint Research
• [Presentation] Building a Domain-Specific Knowledge Graph for Business Networking Analysis (2021)
  • Author(s): Didier Gohourou and Kazuhiro Kuwabara
  • Organizer: Asian Conference on Intelligent Information and Database Systems (ACIIDS 2021)
  • Int'l Joint Research
• [Presentation] Reaching Agreement in an Interactive Group Recommender System (2020)
  • Author(s): Yodogawa D. and Kuwabara K.
  • Organizer: 12th International Conference on Agents and Artificial Intelligence (ICAART 2020)
  • Int'l Joint Research
• [Presentation] Toward Blockchain-Assisted Gamified Crowdsourcing for Knowledge Refinement (2020)
  • Author(s): Bu H. and Kuwabara K.
  • Organizer: 12th Asian Conference on Intelligent Information and Database Systems (ACIIDS 2020)
  • Int'l Joint Research
• [Presentation] Co-exploring a Search Space in a Group Recommender System (2019)
  • Author(s): Yodogawa, D. and Kuwabara, K.
  • Organizer: 11th Asian Conference on Intelligent Information and Database Systems (ACIIDS 2019)
  • Int'l Joint Research
• [Presentation] On-the-spot Knowledge Refinement for an Interactive Recommender System (2019)
  • Author(s): Yuichiro Ikemoto and Kazuhiro Kuwabara
  • Organizer: 11th International Conference on Agents and Artificial Intelligence
  • Int'l Joint Research