{"id":80,"date":"2026-03-09T10:40:02","date_gmt":"2026-03-09T01:40:02","guid":{"rendered":"https:\/\/www.ymdsij-lab.com\/lab\/?page_id=80"},"modified":"2026-05-28T13:14:02","modified_gmt":"2026-05-28T04:14:02","slug":"paper","status":"publish","type":"page","link":"https:\/\/www.ymdsij-lab.com\/lab\/paper\/","title":{"rendered":"\u8ad6\u6587"},"content":{"rendered":"\n
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\u8ad6\u6587<\/h2>\n\n\n\n

2026<\/strong><\/p>\n\n\n\n

    \n
  1. Kazuki Komura, Seiji Yamada (2026.1). Deepening ideas vs. exploring new ones: AI strategy effects in human-AI creative collaboration. PLOS One, 21 (1), p. e0340449. doi:10.1371\/journal.pone.0340449<\/li>\n\n\n\n
  2. Takahiro Tsumura, Seiji Yamada (2026.1). Effects of knowledge and importance on responsibility in human-AI decision making. Scientifc Reports 16, 2670 (2026). https:\/\/doi.org\/10.1038\/s41598-025-32513-w
    2025<\/strong><\/li>\n\n\n\n
  3. Jingbo Yan and Seiji Yamada (2025.12). Learning Dual-Path Soft Decision Trees for Vision Prototype XAI. IEEE Access<\/em>, 13<\/em>, 206031\u2013206045. https:\/\/doi.org\/10.1109\/access.2025.3639412 DOI: https:\/\/doi.org\/10.1109\/ACCESS.2025.3639412<\/li>\n\n\n\n
  4. Sota Kaneko and Seiji Yamada (2025.11). Predicting Trust Dynamics With Dynamic SEM in Human-AI Collaboration.\u00a0IEEE Access,\u00a013, 190701\u2013190711. https:\/\/doi.org\/10.1109\/access.2025.3629365<\/li>\n\n\n\n
  5. Takahiro Tsumura and Seiji Yamada (2025.7). IKEA effect and empathy for robots: Can assembly strengthen human-agent relationships? PLOS One, 20(7), e0327524. https:\/\/doi.org\/10.1371\/journal.pone.0327524<\/li>\n\n\n\n
  6. Takahiro Tsumura and Seiji Yamada (2025.7). The role of individual recognition in shaping empathy and trust toward an agent. PLOS One, 20(7), e0327329. https:\/\/doi.org\/10.1371\/journal.pone.0327329<\/li>\n\n\n\n
  7. Takahiro Tsumura and Seiji Yamada (2025.6). Shaping Empathy and Trust Toward Agents: The Role of Agent Behavior Modification and Attitude. IEEE Access, 13, 116908\u2013116923. https:\/\/doi.org\/10.1109\/access.2025.3584456<\/li>\n\n\n\n
  8. Mari Saito, Seiji Yamada (2025.5). How Adaptation and User Engagement Affect Trust in Audio Guide Agents, IEEE Access, 13, 81553-81568, doi:10.1109\/ACCESS.2025.3567067
    2024<\/strong><\/li>\n\n\n\n
  9. Nungduk Yun and Seiji Yamada (2024.12). Investigation of Factors That Influence Human Presence and Robot Anthropomorphism in Telepresence Robot. IEEE Access, 13, 4996\u20135008. doi:10.1109\/access.2024. 3516782<\/li>\n\n\n\n
  10. Takahiro Tsumura and Seiji Yamada (2024.11). Making a human’s trust repair for an agent in a series of tasks through the agent’s empathic behavior. Frontiers in Computer Science, 6:1461131. doi: 10.3389\/fcomp.2024.1461131<\/li>\n\n\n\n
  11. Akihiro Maehigashi, Takahiro Tsumura and Seiji Yamada (2024.10). Impacts of Robot Beep Timings on Trust Dynamics in Human-Robot Interaction. International Journal of Social Robotics. https:\/\/doi.org\/10.1007\/ s12369-024-01181-7<\/li>\n\n\n\n
  12. Tetsuya Matsui, Seiji Yamada (2024). Making a human’s trust repair for an agent in a series of tasks through the agent’s empathic behavior, Frontiers in Computer Science, 6, https:\/\/doi.org\/10.3389\/fcomp.2024. 1461131
    2023<\/strong><\/li>\n\n\n\n
  13. Yosuke Fukuchi, Seiji Yamada (2023). Dynamic Selection of Reliance Calibration Cues with AI Reliance Model, IEEE Access, 10, 138870-138881, 10.1109\/ACCESS.2023.3339548<\/li>\n\n\n\n
  14. Tetsuya Matsui, Seiji Yamada (2023). A design of trip recommendation robot agents with opinions. Multimedia Tools and Applications, https:\/\/doi.org\/10.1007\/s11042-023-14747-w<\/li>\n\n\n\n
  15. Tahiro Tsumura, Seiji Yamada (2023.5). Influence of agent\u2019s self-disclosure on human empathy. PLOS ONE, 18(5): e0283955.<\/li>\n\n\n\n
  16. Takahiro Tsumura, Seiji Yamada (2023.4). Influence of anthropomorphic agent on human empathy through games. IEEE Access, 40412-40429, 10.1109\/ACCESS.2023.3269301<\/li>\n\n\n\n
  17. Takato Okudo, Seiji Yamada (2023). Learning Potential in Subgoal-Based Reward Shaping. IEEE Access, 11, 17116\u201317137. doi:10.1109\/ACCESS.2023.3246267
    2022<\/strong><\/li>\n\n\n\n
  18. \u5927\u5cf6\u5bdb\u6597\uff0c\u5c0f\u677e\u5b5d\u5fb3\uff0c\u5c71\u7530\u8aa0\u4e8c (2022). \u30b9\u30ed\u30d0\u30fc\u306e\u56de\u8ee2\u901f\u5ea6\u304c\u30e6\u30fc\u30b6\u306e\u5f85\u3061\u6642\u9593\u306b\u4e0e\u3048\u308b\u5f71\u97ff\u306e\u8003\u5bdf, \u60c5\u5831\u51e6\u7406\u5b66\u4f1a\u8ad6\u6587\u8a8c, 63(3), 917-926.<\/li>\n\n\n\n
  19. Shin Sano, Seiji Yamada (2022). AI-Assisted Design Concept Exploration Through Character Space Construction. Frontiers in Psychology, 12. doi:10.3389\/fpsyg.2021.819237
    2021<\/strong><\/li>\n\n\n\n
  20. Ryo Nakahashi, Seiji Yamada (2021). Balancing Performance and Human Autonomy with Implicit Guidance Agent. Frontiers in Artificial Intelligence, 4. doi:10.3389\/frai.2021.736321<\/li>\n\n\n\n
  21. Takato Okudo, Seiji Yamada (2021). Subgoal-Based Reward Shaping to Improve Efficiency in Reinforcement Learning. IEEE Access, 9, 97557\u201397568. doi:10.1109\/access.2021.3090364
    2020<\/strong><\/li>\n\n\n\n
  22. Kazuo Okamura and Seiji Yamada (2020). Empirical Evaluations of Framework for Adaptive Trust Calibration in Human-AI Cooperation, IEEE Access, 8, 220335-220351, DOI: 10.1109\/ACCESS.2020. 3042556<\/li>\n\n\n\n
  23. Kazuo Okamura and Seiji Yamada (2020). Adaptive trust calibration for human-AI collaboration, PLOS ONE, 15(2): e0229132. https:\/\/doi.org\/10.1371\/journal.pone.0229132<\/li>\n\n\n\n
  24. Mari Saito, Seiji Yamada (2025). How Adaptation and User Engagement Affect Trust in Audio Guide Agents, IEEE Access, 13, 81553-81568, doi:10.1109\/ACCESS.2025.3567067<\/li>\n\n\n\n
  25. Nungduk Yun and Seiji Yamada (2025). Investigation of Factors That Influence Human Presence and Robot Anthropomorphism in Telepresence Robot. IEEE Access, 13, 4996\u20135008. doi:10.1109\/access.2024. 3516782<\/li>\n\n\n\n
  26. Akihiro Maehigashi, Takahiro Tsumura and Seiji Yamada (2024). Impacts of Robot Beep Timings on Trust Dynamics in Human-Robot Interaction. International Journal of Social Robotics. https:\/\/doi.org\/10.1007\/ s12369-024-01181-7<\/li>\n\n\n\n
  27. Tetsuya Matsui, Seiji Yamada (2024). Making a human’s trust repair for an agent in a series of tasks through the agent’s empathic behavior, Frontiers in Computer Science, 6, https:\/\/doi.org\/10.3389\/fcomp.2024. 1461131<\/li>\n\n\n\n
  28. Yosuke Fukuchi, Seiji Yamada (2023). Dynamic Selection of Reliance Calibration Cues with AI Reliance Model, IEEE Access, 10, 138870-138881, 10.1109\/ACCESS.2023.3339548<\/li>\n\n\n\n
  29. Tetsuya Matsui, Seiji Yamada (2023). A design of trip recommendation robot agents with opinions. Multimedia Tools and Applications, https:\/\/doi.org\/10.1007\/s11042-023-14747-w<\/li>\n\n\n\n
  30. Takahiro Tsumura, Seiji Yamada (2023). Influence of anthropomorphic agent on human empathy through games. IEEE Access, 40412-40429, 10.1109\/ACCESS.2023.3269301<\/li>\n\n\n\n
  31. Tkahiro Tsumura, Seiji Yamada (2023). Influence of agent\u2019s self-disclosure on human empathy. PLOS ONE, 18(5): e0283955.<\/li>\n\n\n\n
  32. Takato Okudo, Seiji Yamada (2023). Learning Potential in Subgoal-Based Reward Shaping. IEEE Access, 11, 17116\u201317137. doi:10.1109\/ACCESS.2023.3246267<\/li>\n\n\n\n
  33. \u5927\u5cf6\u5bdb\u6597\uff0c\u5c0f\u677e\u5b5d\u5fb3\uff0c\u5c71\u7530\u8aa0\u4e8c (2022). \u30b9\u30ed\u30d0\u30fc\u306e\u56de\u8ee2\u901f\u5ea6\u304c\u30e6\u30fc\u30b6\u306e\u5f85\u3061\u6642\u9593\u306b\u4e0e\u3048\u308b\u5f71\u97ff\u306e\u8003\u5bdf, \u60c5\u5831\u51e6\u7406\u5b66\u4f1a\u8ad6\u6587\u8a8c, 63(3), 917-926.<\/li>\n\n\n\n
  34. Shin Sano, Seiji Yamada (2022). AI-Assisted Design Concept Exploration Through Character Space Construction. Frontiers in Psychology, 12. doi:10.3389\/fpsyg.2021.819237<\/li>\n\n\n\n
  35. Ryo Nakahashi, Seiji Yamada (2021). Balancing Performance and Human Autonomy with Implicit Guidance Agent. Frontiers in Artificial Intelligence, 4. doi:10.3389\/frai.2021.736321<\/li>\n\n\n\n
  36. Takato Okudo, Seiji Yamada (2021). Subgoal-Based Reward Shaping to Improve Efficiency in Reinforcement Learning. IEEE Access, 9, 97557\u201397568. doi:10.1109\/access.2021.3090364<\/li>\n\n\n\n
  37. Kazuo Okamura and Seiji Yamada (2020). Empirical Evaluations of Framework for Adaptive Trust Calibration in Human-AI Cooperation, IEEE Access, 8, 220335-220351, DOI: 10.1109\/ACCESS.2020. 3042556<\/li>\n\n\n\n
  38. Kazuo Okamura and Seiji Yamada (2020). Adaptive trust calibration for human-AI collaboration, PLOS ONE, 15(2): e0229132. https:\/\/doi.org\/10.1371\/journal.pone.0229132<\/li>\n\n\n\n
  39. \u5bfa\u7530\u548c\u61b2\uff0c\u5c71\u7530\u8aa0\u4e8c (2019). \u9069\u5fdc\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u7406\u89e3\u306e\u305f\u3081\u306e\u8a8d\u77e5\u30d0\u30a4\u30a2\u30b9\u306e\u5b9f\u9a13\u7684\u691c\u8a0e\uff0c\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u8ad6\u6587\u8a8c, Vol.34, No.4, A-I72 (July 2019) https:\/\/doi.org\/10.1527\/tjsai.A-I72<\/li>\n\n\n\n
  40. Sichao Song and Seiji Yamada (2019). Designing LED lights for a robot to communicate gaze, Advanced Robotics, 1-9. https:\/\/doi.org\/10.1080\/01691864.2019.1600426<\/li>\n\n\n\n
  41. Tetsuya Matsui and Seiji Yamada (2019). Designing Trustworthy Product Recommendation Virtual Agents Operating Positive Emotion and Having Copious Amount of Knowledge, Frontiers in Psychology, 10:675. https:\/\/doi.org\/10.3389\/fpsyg.2019.00675<\/li>\n\n\n\n
  42. Sichao Song and Seiji Yamada (2019). Ambient Lights Influence Perception and Decision-Making. Frontiers in Psychology. https:\/\/doi.org\/10.3389\/fpsyg.2018.02685<\/li>\n\n\n\n
  43. Masayuki Okabe and Seiji Yamada (2018). Clustering Using Boosted Constrained k-Means Algorithm, Frontiers in Robotics and AI, 5:18, doi:10.3389\/frobt.2018.00018<\/li>\n\n\n\n
  44. Kazunori Terada and Seiji Yamada (2017). Mind-Reading and Behavior-Reading against Agents with and without Anthropomorphic Features in a Competitive Situation, Frontiers in Psychology, 8:1071, doi:10.3389\/fpsyg.2017.01071<\/li>\n\n\n\n
  45. \u91ce\u3005\u6751\u572d\u7950\uff0c\u5bfa\u7530\u548c\u61b2\uff0c\u5c71\u7530\u8aa0\u4e8c\uff0c\u4f0a\u85e4\u662d (2017). \u30ed\u30dc\u30c3\u30c8\u3068\u306e\u611f\u60c5\u7684\u30a4\u30f3\u30bf\u30e9\u30af\u30b7\u30e7\u30f3\u306f\u5916\u898b\u306e\u60aa\u5370\u8c61\u3092\u7de9\u548c\u3059\u308b, \u30d2\u30e5\u30fc\u30de\u30f3\u30a4\u30f3\u30bf\u30d5\u30a7\u30fc\u30b9\u5b66\u4f1a\u8ad6\u6587\u8a8c, 19(1), 97-104.<\/li>\n\n\n\n
  46. \u677e\u4e95\u54f2\u4e5f\uff0c\u5c71\u7530\u8aa0\u4e8c (2017). \u30e6\u30fc\u30b6\u306e\u4fe1\u983c\u3092\u8a98\u767a\u3059\u308b\u5546\u54c1\u63a8\u85a6\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u30c7\u30b6\u30a4\u30f3 \u30fc\u611f\u60c5\u3068\u77e5\u8b58\u91cf\u306e\u9077\u79fb\u306b\u3088\u308b\u4fe1\u983c\u5411\u4e0a\u30fc\uff0c\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u8ad6\u6587\u8a8c, Vol.32, No.2, C-G92_1-10.<\/li>\n\n\n\n
  47. \u9ed2\u7530\u62d3\u4e5f\uff0c\u5c71\u7530\u8aa0\u4e8c\uff0c\u5bfa\u7530\u548c\u61b2 (2016). \u30aa\u30f3\u30e9\u30a4\u30f3\u30b7\u30e7\u30c3\u30d4\u30f3\u30b0\u306b\u304a\u3051\u308b\u5546\u54c1\u63a8\u85a6\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u306e\u5916\u898b\u3068\u632f\u308b\u821e\u3044\u306e\u95a2\u4fc2\u304c\u8cfc\u8cb7\u610f\u6b32\u306b\u4e0e\u3048\u308b\u5f71\u97ff\uff0c\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u8ad6\u6587\u8a8c, Vol.31, No.2, G-F78_1-11.<\/li>\n\n\n\n
  48. \u6881\u9759, \u5c71\u7530\u8aa0\u4e8c, \u5bfa\u7530\u548c\u61b2 (2015). \u30aa\u30f3\u30e9\u30a4\u30f3\u30b7\u30e7\u30c3\u30d4\u30f3\u30b0\u306b\u304a\u3051\u308b\u5546\u54c1\u63a8\u85a6\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u306e\u5916\u898b\u3068\u30e6\u30fc\u30b6\u306e\u8cfc\u8cb7\u610f\u6b32\u3068\u306e\u95a2\u4fc2\uff0c\u30d2\u30e5\u30fc\u30de\u30f3\u30a4\u30f3\u30bf\u30d5\u30a7\u30fc\u30b9\u5b66\u4f1a\u8ad6\u6587\u8a8c, Vol.17, No.3, 307-315.<\/li>\n\n\n\n
  49. \u5c0f\u6797\u4e00\u6a39\uff0c\u8239\u8d8a\u5b5d\u592a\u90ce\uff0c\u5c0f\u677e\u5b5d\u5fb3\uff0c\u5c71\u7530\u8aa0\u4e8c\uff0c\u4e2d\u91ce\u5e79\u751f (2015). ASE\u306b\u57fa\u3065\u304f\u76f8\u69cc\u306b\u3088\u308b\u30ed\u30dc\u30c3\u30c8\u3068\u306e\u5bfe\u8a71\u4f53\u9a13\u306e\u5411\u4e0a\uff0c\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u8ad6\u6587\u8a8c, 30(4), 604-612.<\/li>\n\n\n\n
  50. \u5c71\u7530\u8aa0\u4e8c\uff0c\u68ee\u76f4\u6a39\uff0c\u5c0f\u6797\u4e00\u6a39 (2015). \u5468\u8fba\u8a8d\u77e5\u30c6\u30af\u30ce\u30ed\u30b8\u30fcPCT\u306b\u3088\u308b\u30e6\u30fc\u30b6\u306e\u4f5c\u696d\u306b\u5e72\u6e09\u3057\u306a\u3044\u30da\u30ea\u30d5\u30a7\u30e9\u30eb\u60c5\u5831\u901a\u77e5\uff0c\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u8ad6\u6587\u8a8c, 30(2), 449-458.<\/li>\n\n\n\n
  51. Masayuki Okabe and Seiji Yamada (2014). Active Sampling for Constrained Clustering, Journal of Advanced Computational Intelligence and Intelligent Informatics, 18(2), 232-238.<\/li>\n\n\n\n
  52. \u5c71\u7530\u8aa0\u4e8c\uff0c\u6c34\u4e0a\u6df3\u8cb4\uff0c\u5ca1\u90e8\u6b63\u5e78 (2014). \u30a4\u30f3\u30bf\u30e9\u30af\u30c6\u30a3\u30d6\u5236\u7d04\u4ed8\u304d\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u306b\u304a\u3051\u308b\u5236\u7d04\u9078\u629e\u3092\u652f\u63f4\u3059\u308b\u30a4\u30f3\u30bf\u30e9\u30af\u30b7\u30e7\u30f3\u30c7\u30b6\u30a4\u30f3\uff0c\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u8ad6\u6587\u8a8c\uff0c29(2), 259-267.<\/li>\n\n\n\n
  53. \u8c37\u5c2d\u5c1a\uff0c\u5c71\u7530\u8aa0\u4e8c (2014). \u673a\u4e0a\u306b\u304b\u304b\u308b\u5727\u529b\u3092\u7528\u3044\u305f\u30e6\u30fc\u30b6\u306e\u5272\u308a\u8fbc\u307f\u53ef\u80fd\u6027\u63a8\u5b9a\uff0c\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u8ad6\u6587\u8a8c, 29(1), 129-136.<\/li>\n\n\n\n
  54. \u5bfa\u7530\u548c\u61b2\uff0c\u5c71\u7530\u8aa0\u4e8c\uff0c\u5c0f\u677e\u5b5d\u5fb3\uff0c\u5c0f\u6797\u4e00\u6a39\uff0c\u8239\u8d8a\u5b5d\u592a\u90ce\uff0c\u4e2d\u91ce\u5e79\u751f\uff0c\u4f0a\u85e4\u662d (2013). \u79fb\u52d5\u30ed\u30dc\u30c3\u30c8\u306b\u3088\u308bArtificial Subtle Expressions\u3092\u7528\u3044\u305f\u78ba\u4fe1\u5ea6\u8868\u51fa\uff0c\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u8ad6\u6587\u8a8c\uff0c28(3), 311-319.<\/li>\n\n\n\n
  55. Hiroshi Murata, Takashi Onoda and Seiji Yamada (2013). Comparative Analysis of Relevance for SVMs-based Interactive Document Retrieval, Journal of Advanced Computational Intelligence and Intelligent Informatics, 17(2), 149-156.<\/li>\n\n\n\n
  56. \u5927\u6fa4\u535a\u9686\uff0c\u98db\u7530\u56fd\u661f\uff0c\u6851\u5c71\u88d5\u57fa\uff0c\u4eca\u4e95\u502b\u592a\uff0c\u5c71\u7530\u8aa0\u4e8c (2013). \u4e8c\u8ef8\u306e\u632f\u308b\u821e\u3044\u306b\u3088\u308b\u4eba\u9593-\u7bb1\u9593\u306e\u7269\u96c6\u3081\u30bf\u30b9\u30af\u306e\u5b9f\u884c\uff0c\u30d2\u30e5\u30fc\u30de\u30f3\u30a4\u30f3\u30bf\u30d5\u30a7\u30fc\u30b9\u5b66\u4f1a\u8ad6\u6587\u8a8c\uff0c15(1), 39-50.<\/li>\n\n\n\n
  57. Kazuki Kobayashi, Seiji Yamada, Shinobu Nakagawa and Yasunori Saito (2012). Rebo: A Pet-like Strokable Remote Control, Journal of Advanced Computational Intelligence and Intelligent Informatics, 16(7), 771-783.<\/li>\n\n\n\n
  58. \u5c0f\u677e\u5b5d\u5fb3\uff0c\u5c0f\u6797\u4e00\u6a39\uff0c\u5c71\u7530\u8aa0\u4e8c\uff0c\u8239\u8d8a\u5b5d\u592a\u90ce\uff0c\u4e2d\u91ce\u5e79\u751f (2012). \u78ba\u4fe1\u5ea6\u8868\u51fa\u306b\u304a\u3051\u308b\u4eba\u9593\u3089\u3057\u3044\u8868\u73fe\u3068Artificial Subtle Expressions\u3068\u306e\u6bd4\u8f03\uff0c\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u8ad6\u6587\u8a8c\uff0c27(5), 263-270.<\/li>\n\n\n\n
  59. Takanori Komatsu, Rie Kurosawa and Seiji Yamada (2012). How does the Difference between Users\u2019 Expectations and Perceptions about a Robotic Agent Affect Their Behavior? -An Adaptation Gap Concept for Determining Whether Interactions between Users and Agents Are Going Well or Not, International Journal of Social Robotics, Vol.4, No.2, 109-116.<\/li>\n\n\n\n
  60. \u5ca1\u90e8 \u6b63\u5e78\uff0c\u5c71\u7530 \u8aa0\u4e8c (2012). \u5236\u7d04\u4ed8\u304d\u30b0\u30e9\u30d5\u30ab\u30c3\u30c8\u306b\u3088\u308b\u9010\u6b21\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\uff0c\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u8ad6\u6587\u8a8c\uff0c27(3), 193-203.<\/li>\n\n\n\n
  61. Masayuki Okabe and Seiji Yamada (2012). Graph-cut based Constrained Clustering by Grouping Relational Labels, Journal of Emerging Technologies in Web Intelligence, 4(1), 43-50.<\/li>\n\n\n\n
  62. Takashi Onoda, Miho Sakai, Seiji Yamada (2012). Careful Seeding Method based on Independent Components Analysis for k-means Clustering, Journal of Emerging Technologies in Web Intelligence, 4(1), 51-59.<\/li>\n\n\n\n
  63. \u5bfa\u7530\u548c\u61b2\uff0c\u5c71\u7530\u8aa0\u4e8c\uff0c\u4f0a\u85e4\u662d (2012). \u30dc\u30fc\u30ca\u30b9\u4ed8\u304d\u30de\u30c3\u30c1\u30f3\u30b0\u30da\u30cb\u30fc\u30b2\u30fc\u30e0\u306b\u304a\u3051\u308b\u4eba\u9593\u304b\u3089\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u3078\u306e\u9069\u5fdc\u30d7\u30ed\u30bb\u30b9\u306e\u89e3\u660e\uff0c\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u8ad6\u6587\u8a8c\uff0c27(2), 73-81.<\/li>\n\n\n\n
  64. \u6751\u7530\u535a\u58eb\uff0c\u5c0f\u91ce\u7530\u5d07\uff0c\u5c71\u7530\u8aa0\u4e8c (2011). SVM \u3092\u7528\u3044\u305f\u5bfe\u8a71\u7684\u6587\u66f8\u691c\u7d22\u306b\u304a\u3051\u308b\u9069\u5408\u6027\u8a55\u4fa1\u306e\u6bd4\u8f03\u5206\u6790\uff0c\u65e5\u672c\u77e5\u80fd\u60c5\u5831\u30d5\u30a1\u30b8\u30a3\u5b66\u4f1a\u8a8c\uff0c23(6), 853-862.<\/li>\n\n\n\n
  65. Hirotaka Osawa and Seiji Yamada (2011). Social modification using implementation of partial agency toward objects, Artificial Life and Robotics, 16(1), 78-81.<\/li>\n\n\n\n
  66. Masayuki Okabe and Seiji Yamada (2011). An Interactive Tool for Human Active Learning in Constrained Clustering, Journal of Emerging Technologies in Web Intelligence, 31, 20-27.<\/li>\n\n\n\n
  67. Minghuang Chen, Seiji Yamada and Yasufumi Takama (2011). Investigating User Behavior in Document Similarity Judgment for Interactive Clustering-based Search Engines, Journal of Emerging Technologies in Web Intelligence, 3(1), 3-10.<\/li>\n\n\n\n
  68. Takanori Komatsu and Seiji Yamada (2011). How does the agents\u2019 appearance affect users\u2019 interpretation of the agents\u2019 attitudes \u2013 Experimental investigation on expressing the same artificial sounds from agents with different appearances, International Journal of Human-Computer Interaction, 27(3), 260-279.<\/li>\n\n\n\n
  69. \u8239\u8d8a\u5b5d\u592a\u90ce\uff0c\u5c0f\u6797\u4e00\u6a39\uff0c\u4e2d\u91ce\u5e79\u751f\uff0c\u5c0f\u677e\u5b5d\u5fb3\uff0c\u5c71\u7530\u8aa0\u4e8c (2011). \u5bfe\u8a71\u306e\u4f4e\u901f\u5316\u3068Artificial Subtle Expression\u306b\u3088\u308b\u767a\u8a71\u885d\u7a81\u306e\u6291\u5236\uff0c\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u8ad6\u6587\u8a8c\uff0c26(2), 353-365.<\/li>\n\n\n\n
  70. Takanori Komatsu and Seiji Yamada (2011). Adaptation gap hypothesis: How differences between users\u2019 expected and perceived agent functions affect their subjective impression, Journal of Systemics, Cybernetics and Informatics, 9(1), 67-74.<\/li>\n\n\n\n
  71. \u5c0f\u677e\u5b5d\u5fb3\uff0c\u5c71\u7530\u8aa0\u4e8c\uff0c\u5c0f\u6797\u4e00\u6a39\uff0c\u8239\u8d8a\u5b5d\u592a\u90ce\uff0c\u4e2d\u91ce\u5e79\u751f (2010). Artificial Subtle Expressions: \u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u306e\u5185\u90e8\u72b6\u614b\u3092\u76f4\u611f\u7684\u306b\u4f1d\u9054\u3059\u308b\u624b\u6cd5\u306e\u63d0\u6848\uff0c\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u8ad6\u6587\u8a8c\uff0c25(6), 733-741.<\/li>\n\n\n\n
  72. Kazuki Kobayashi and Seiji Yamada (2010). Extending Commands Embedded in Actions for Human-Robot Cooperative Tasks, International Journal of Social Robotics, 2(2), 159-173<\/li>\n\n\n\n
  73. Masayuki Okabe and Seiji Yamada (2010). Learning Similarity Matrix from Constraints of Relational Neighbors, Journal of Advanced Computational Intelligence and Intelligent Informatics, 14(4), 402-407.<\/li>\n\n\n\n
  74. Peng Li and Seiji Yamada (2010). Extraction of Web Site Evaluation Criteria and Automatic Evaluation, Journal of Advanced Computational Intelligence and Intelligent Informatics, 14(4), 396-401.<\/li>\n\n\n\n
  75. Anja Austermann and Seiji Yamada (2010). Teaching a pet-robot to understand user feedback through interactive virtual training tasks, Autonomous Agents and Multi-Agent Systems, 20(1), 85-104.<\/li>\n\n\n\n
  76. \u674e\u9d6c\uff0c\u5c71\u7530\u8aa0\u4e8c\uff0c\u65b0\u7530\u514b\u5df1 (2010). Web\u30b5\u30a4\u30c8\u8a55\u4fa1\u57fa\u6e96\u306e\u62bd\u51fa\u3068\u8a55\u4fa1\u306e\u81ea\u52d5\u5316\uff0c\u96fb\u6c17\u5b66\u4f1a\u8ad6\u6587\u8a8cC\uff0c30(1), 66-74.<\/li>\n\n\n\n
  77. \u8239\u8d8a\u5b5d\u592a\u90ce\uff0c\u5c0f\u6797\u4e00\u6a39\uff0c\u4e2d\u91ce\u5e79\u751f\uff0c\u5c71\u7530\u8aa0\u4e8c\uff0c\u5317\u6751\u6cf0\u5f66\uff0c\u8fbb\u91ce\u5e83\u53f8 (2009). Artificial Subtle Expression\u3068\u3057\u3066\u306e\u660e\u6ec5\u5149\u6e90\u306b\u3088\u308b\u97f3\u58f0\u5bfe\u8a71\u306e\u5186\u6ed1\u5316\uff0c\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u8ad6\u6587\u8a8cA\uff0cJ92-A(11), 818-827.<\/li>\n\n\n\n
  78. \u5c0f\u677e\u5b5d\u5fb3\uff0c\u5c71\u7530\u8aa0\u4e8c (2009). \u9069\u5fdc\u30ae\u30e3\u30c3\u30d7\u304c\u30e6\u30fc\u30b6\u306e\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u306b\u5bfe\u3059\u308b\u5370\u8c61\u5909\u5316\u306b\u4e0e\u3048\u308b\u5f71\u97ff\uff0c\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u8ad6\u6587\u8a8c\uff0cVol.24, No.2, 232-240.<\/li>\n\n\n\n
  79. \u677e\u4e95\u6b63\u4e00\uff0c\u5c71\u7530\u8aa0\u4e8c (2008). \u907a\u4f1d\u7684\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306b\u3088\u308b\u968e\u5c64\u30e1\u30cb\u30e5\u30fc\u306e\u6700\u9069\u5316\uff0c\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u8ad6\u6587\u8a8c\uff0c23(6), 494-504.<\/li>\n\n\n\n
  80. \u5c0f\u677e\u5b5d\u5fb3\uff0c\u5c71\u7530\u8aa0\u4e8c (2008). \u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u306e\u5916\u898b\u306e\u9055\u3044\u304c\u30e6\u30fc\u30b6\u306e\u614b\u5ea6\u89e3\u91c8\u306b\u4e0e\u3048\u308b\u5f71\u97ff \u5916\u898b\u306e\u7570\u306a\u308b\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u304b\u3089\u306e\u540c\u4e00\u4eba\u5de5\u97f3\u306e\u63d0\u793a\u5b9f\u9a13\uff0c\u65e5\u672c\u77e5\u80fd\u60c5\u5831\u30d5\u30a1\u30b8\u30a3\u5b66\u4f1a\u8a8c\uff0c20(4), 47-57.<\/li>\n\n\n\n
  81. Kazuki Kobayashi, Seiji Yamada and Yasuhiko Kitamura (2008). Action Sloping for Increasing Awareness of Robot\u2019s Function, \u30d2\u30e5\u30fc\u30de\u30f3\u30a4\u30f3\u30bf\u30d5\u30a7\u30fc\u30b9\u5b66\u4f1a\u8ad6\u6587\u8a8c, 10(1), 37-46.<\/li>\n\n\n\n
  82. \u99d2\u8fbc\u5927\u8f14\uff0c\u9234\u6728\u9053\u96c4\uff0c\u5c0f\u91ce\u54f2\u96c4\uff0c\u5c71\u7530\u8aa0\u4e8c (2008). RobotMeme: \u6a21\u5023\u306b\u3088\u308b\u4eba.\u30ed\u30dc\u30c3\u30c8\u306e\u5468\u8fba\u7684\u76f8\u4e92\u9069\u5fdc\uff0c\u30d2\u30e5\u30fc\u30de\u30f3\u30a4\u30f3\u30bf\u30d5\u30a7\u30fc\u30b9\u5b66\u4f1a\u8ad6\u6587\u8a8c, 10(1), 47-57.<\/li>\n\n\n\n
  83. Takashi Onoda, Hiroshi Murata and Seiji Yamada (2008). SVM-based Interactive document Retrieval with Active Learning, New Generation Computing, 26(1), 49-61.<\/li>\n\n\n\n
  84. Masayuki Okabe and Seiji Yamada (2007). Semi-supervised Query Expansion with Minimal Feedback, IEEE Transactions on Knowledge and Data Engineering, 19(11), 1585-1589.<\/li>\n\n\n\n
  85. Kazuki Kobayashi, Seiji Yamada (2007). Motion Overlap for a Mobile Robot to Express its Mind, Journal of Advanced Computational Intelligence and Intelligent Informatics, 11(8), 964-971.<\/li>\n\n\n\n
  86. \u5c0f\u6797\u4e00\u6a39\uff0c\u5c71\u7530\u8aa0\u4e8c\uff0c\u5317\u6751\u6cf0\u5f66 (2007). \u30ed\u30dc\u30c3\u30c8\u306e\u6a5f\u80fd\u306b\u6c17\u3065\u304b\u305b\u308b\u30ce\u30f3\u30d0\u30fc\u30d0\u30eb\u30a4\u30f3\u30bf\u30e9\u30af\u30b7\u30e7\u30f3\uff0c\u60c5\u5831\u79d1\u5b66\u6280\u8853\u30ec\u30bf\u30fc\u30ba\uff0c331-334.<\/li>\n\n\n\n
  87. Ganesan Velayathan and Seiji Yamada (2007). Behavior-Based Web Page Evaluation, Journal of Web Engineering, 6(3), 222-243.<\/li>\n\n\n\n
  88. \u5ca1\u90e8\u6b63\u5e78, \u5c71\u7530\u8aa0\u4e8c (2006). \u30c8\u30e9\u30f3\u30b9\u30c0\u30af\u30c6\u30a3\u30d6\u5b66\u7fd2\u306b\u3088\u308b\u6700\u5c0f\u6587\u66f8\u5224\u5b9a\u304b\u3089\u306e\u30af\u30a8\u30ea\u62e1\u5f35\uff0c\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u8ad6\u6587\u8a8c\uff0c21(4), 398-405.<\/li>\n\n\n\n
  89. \u5c0f\u6797\u4e00\u6a39\uff0c\u5c71\u7530\u8aa0\u4e8c (2006). \u64ec\u4eba\u5316\u3057\u305f\u30e2\u30fc\u30b7\u30e7\u30f3\u306b\u3088\u308b\u30ed\u30dc\u30c3\u30c8\u306e\u30de\u30a4\u30f3\u30c9\u8868\u51fa\uff0c\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u8ad6\u6587\u8a8c\uff0c21(4), 380-387.<\/li>\n\n\n\n
  90. \u5c0f\u6797\u4e00\u6a39\uff0c\u5c71\u7530\u8aa0\u4e8c (2006). \u884c\u70ba\u306b\u57cb\u3081\u8fbc\u307e\u308c\u305f\u30b3\u30de\u30f3\u30c9\u306b\u3088\u308b\u4eba\u9593\u3068\u30ed\u30dc\u30c3\u30c8\u306e\u5354\u8abf\uff0c\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u8ad6\u6587\u8a8c\uff0c21(1), 63-72.<\/li>\n\n\n\n
  91. \u5c71\u7530\u8aa0\u4e8c\uff0c\u5c71\u53e3\u667a\u6d69 (2005). \u4eba\u9593\u3068\u64ec\u4eba\u5316\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u306b\u3088\u308b\u30de\u30a4\u30f3\u30c9\u30de\u30c3\u30d4\u30f3\u30b0\u306e\u76f8\u4e92\u9069\u5fdc\uff0c\u65e5\u672c\u77e5\u80fd\u60c5\u5831\u30d5\u30a1\u30b8\u30a3\u5b66\u4f1a\u8a8c\uff0c17(3), 289-297.<\/li>\n\n\n\n
  92. \u9234\u6728\u8061\uff0c\u5c71\u7530\u8aa0\u4e8c (2005). \u64ec\u4eba\u5316\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u306b\u3088\u308b\u30aa\u30fc\u30d0\u30fc\u30cf\u30fc\u30c9\u30b3\u30df\u30e5\u30cb\u30b1\u30fc\u30b7\u30e7\u30f3\u306e\u30e6\u30fc\u30b6\u306e\u614b\u5ea6\u3078\u306e\u5f71\u97ff\uff0c\u60c5\u5831\u51e6\u7406\u5b66\u4f1a\u8ad6\u6587\u8a8c\uff0c46(4), 1093-1100.<\/li>\n\n\n\n
  93. Masayuki Okabe and Seiji Yamada (2005). Learning Filtering Rulesets for Ranking Refinement in Relevance Feedback, Knowledge-Based Systems, 18(2-3), 117-124.<\/li>\n\n\n\n
  94. Seiji Yamada (2005). Evolutionary Behavior learning for Action-Based Environment Modeling by a Mobile Robot, Alied Soft Computing, 5(2), 245-257.<\/li>\n\n\n\n
  95. \u689b\u91ce\u61b2\u514b\uff0c\u5c71\u7530\u8aa0\u4e8c (2004). Future View: \u30d6\u30e9\u30a6\u30b8\u30f3\u30b0\u6226\u7565\u306e\u5b66\u7fd2\u306b\u57fa\u3065\u304fWeb \u30ca\u30d3\u30b2\u30fc\u30b7\u30e7\u30f3\uff0c\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u8ad6\u6587\u8a8c\uff0c19(5), 440-449.<\/li>\n\n\n\n
  96. Seiji Yamada (2004). Recognizing environments from action sequences using self-organizing maps, Alied Soft Computing, 4(1), 35-47.<\/li>\n\n\n\n
  97. \u5ca1\u90e8\u6b63\u5e78\uff0c\u5c71\u7530\u8aa0\u4e8c (2003). \u30d5\u30a3\u30eb\u30bf\u30ea\u30f3\u30b0\u30eb\u30fc\u30eb\u306e\u9010\u6b21\u7684\u5b66\u7fd2\u306b\u3088\u308b\u5bfe\u8a71\u7684Web\u30da\u30fc\u30b8\u691c\u7d22\uff0c\u30b7\u30b9\u30c6\u30e0\u5236\u5fa1\u60c5\u5831\u5b66\u4f1a\u8ad6\u6587\u8a8c\uff0c16(11), 574-582.<\/li>\n\n\n\n
  98. \u7247\u4e0a\u5927\u8f14\uff0c\u5c71\u7530\u8aa0\u4e8c (2003). \u5bfe\u8a71\u7684\u9032\u5316\u30ed\u30dc\u30c6\u30a3\u30af\u30b9\u306e\u89b3\u6e2c\u306b\u57fa\u3065\u304f\u6559\u793a\u306e\u8a2d\u8a08\uff0c\u30b7\u30b9\u30c6\u30e0\u5236\u5fa1\u60c5\u5831\u5b66\u4f1a\u8ad6\u6587\u8a8c\uff0c16(6), 279-286.<\/li>\n\n\n\n
  99. \u5c71\u7530\u8aa0\u4e8c\uff0c\u4e2d\u4e95\u6709\u7d00 (2002). \u5bfe\u8a71\u7684\u5206\u985e\u5b66\u7fd2\u306b\u3088\u308bWeb\u30da\u30fc\u30b8\u306e\u90e8\u5206\u66f4\u65b0\u30e2\u30cb\u30bf\u30ea\u30f3\u30b0\uff0c\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u8ad6\u6587\u8a8c\uff0c17(5), 614-621.<\/li>\n\n\n\n
  100. Seiji Yamada, Norikatsu Nagino (2002). Constructing a personal Web map with anytime-control of Web robots, International Journal of Cooperative Information Systems, 11(1-2), 1-19.<\/li>\n\n\n\n
  101. \u9593\u702c\u5fc3\u535a, \u5c71\u7530\u8aa0\u4e8c (2002). HERIS\uff1a\u30e6\u30fc\u30b6\u30b0\u30eb\u30fc\u30d7\u3068WWW\u306e\u7d71\u5408\u7684\u60c5\u5831\u691c\u7d22\u30b7\u30b9\u30c6\u30e0\uff0c\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u8ad6\u6587\u8a8c\uff0c17(2), 127-134.<\/li>\n\n\n\n
  102. \u5ca1\u90e8\u6b63\u5e78\uff0c\u5c71\u7530\u8aa0\u4e8c (2002). \u95a2\u4fc2\u5b66\u7fd2\u3092\u7528\u3044\u305f\u5bfe\u8a71\u7684\u6587\u66f8\u691c\u7d22\uff0c\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u8ad6\u6587\u8a8c\uff0c16(1), 139-146.<\/li>\n\n\n\n
  103. \u5c71\u7530\u8aa0\u4e8c\uff0c\u6751\u702c\u6587\u5f66 (2002). \u30da\u30fc\u30b8\u60c5\u5831\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u306e\u7d44\u7e54\u5316\u306b\u3088\u308bWeb\u691c\u7d22\u30a8\u30f3\u30b8\u30f3\u306e\u9069\u5fdc\u30a4\u30f3\u30bf\u30d5\u30a7\u30fc\u30b9\uff0c\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u8ad6\u6587\u8a8c\uff0c16(1), 46-54.<\/li>\n\n\n\n
  104. Seiji Yamada, Junya Saito (2001). Adaptive Action Selection Without Explicit Communication for Multi-robot Box-Pushing, IEEE Transaction on Systems, Man, and Cybernetics, Part C, 31(3), 398-404.<\/li>\n\n\n\n
  105. \u7247\u4e0a\u5927\u8f14\uff0c\u5c71\u7530\u8aa0\u4e8c (2001). \u30ce\u30fc\u30c9\u4f7f\u7528\u983b\u5ea6\u306b\u4f9d\u5b58\u3057\u305f\u4ea4\u53c9\u306b\u3088\u308b\u9032\u5316\u30ed\u30dc\u30c6\u30a3\u30af\u30b9\u306e\u9ad8\u901f\u5316\uff0c\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u8ad6\u6587\u8a8c\uff0c16(4), 392-399.<\/li>\n\n\n\n
  106. Seiji Yamada, Hiroyuki Kawano (2001). Information Gathering and Searching Aroaches in the Web, New Generation Computing, 19(2), 195-208.<\/li>\n\n\n\n
  107. \u689b\u91ce\u61b2\u514b\uff0c\u5c71\u7530\u8aa0\u4e8c (2000). \u30de\u30eb\u30c1Web\u30ed\u30dc\u30c3\u30c8\u306b\u3088\u308b\u30e6\u30fc\u30b6\u306e\u8208\u5473\u3092\u53cd\u6620\u3057\u305f\u60c5\u5831\u53ce\u96c6\uff0c\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u8ad6\u6587\u8a8cD-I\uff0cJ83-D-I(7), 780-788.<\/li>\n\n\n\n
  108. \u68ee\u5e79\u5f66\uff0c\u5c71\u7530\u8aa0\u4e8c (2000). \u30d6\u30c3\u30af\u30de\u30fc\u30af\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\uff1a\u30d6\u30c3\u30af\u30de\u30fc\u30af\u306e\u5171\u6709\u306b\u3088\u308b\u60c5\u5831\u691c\u7d22\u306e\u652f\u63f4\uff0c\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u8ad6\u6587\u8a8cD-I\uff0cJ83-D-I(5), 487-494.<\/li>\n\n\n\n
  109. \u5c71\u7530\u8aa0\u4e8c\uff0c\u5927\u6fa4\u5e78\u751f (1999). WWW\u306b\u304a\u3051\u308b\u6982\u5ff5\u7406\u89e3\u306e\u305f\u3081\u306e\u30ca\u30d3\u30b2\u30fc\u30b7\u30e7\u30f3\u30d7\u30e9\u30cb\u30f3\u30b0\uff0c\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u8ad6\u6587\u8a8c\uff0c14(6), 1125-1133.<\/li>\n\n\n\n
  110. \u5c71\u7530\u8aa0\u4e8c (1999). \u884c\u70ba\u306b\u57fa\u3065\u304f\u74b0\u5883\u30e2\u30c7\u30ea\u30f3\u30b0\u306e\u305f\u3081\u306e\u79fb\u52d5\u30ed\u30dc\u30c3\u30c8\u306e\u9032\u5316\u7684\u884c\u52d5\u7372\u5f97\uff0c\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u8ad6\u6587\u8a8c\uff0c14(5), 870-878.<\/li>\n\n\n\n
  111. \u5c71\u7530\u8aa0\u4e8c\uff0c\u9f4b\u85e4\u6df3\u4e5f (1999). \u30de\u30eb\u30c1\u30ed\u30dc\u30c3\u30c8\u306b\u3088\u308b\u7bb1\u62bc\u3057\u306e\u305f\u3081\u306e\u660e\u793a\u7684\u901a\u4fe1\u3092\u7528\u3044\u306a\u3044\u9069\u5fdc\u7684\u884c\u70ba\u9078\u629e\uff0c\u65e5\u672c\u30ed\u30dc\u30c3\u30c8\u5b66\u4f1a\u8a8c\uff0c17(6), 818-827.<\/li>\n\n\n\n
  112. \u5c71\u7530\u8aa0\u4e8c\uff0c\u5ba4\u7530\u76db\u9053 (1999). \u81ea\u5df1\u7d44\u7e54\u5316\u30de\u30c3\u30d7\u3092\u7528\u3044\u305f\u79fb\u52d5\u30ed\u30dc\u30c3\u30c8\u306b\u3088\u308b\u884c\u70ba\u7cfb\u5217\u304b\u3089\u306e\u74b0\u5883\u8a8d\u8b58\uff0c\u65e5\u672c\u30ed\u30dc\u30c3\u30c8\u5b66\u4f1a\u8a8c\uff0c17(6), 855-862.<\/li>\n\n\n\n
  113. \u68ee\u5b9f\u514b\uff0c\u5c71\u7530\u8aa0\u4e8c\uff0c\u8c4a\u7530\u9806\u4e00 (1997). \u79fb\u52d5\u30ed\u30dc\u30c3\u30c8\u306b\u3088\u308b\u30b5\u30d6\u30b4\u30fc\u30eb\u9593\u5de1\u56de\u884c\u52d5\u306e\u5b66\u7fd2\uff0c\u65e5\u672c\u30ed\u30dc\u30c3\u30c8\u5b66\u4f1a\u8a8c\uff0c15(5), 807-810.<\/li>\n\n\n\n
  114. \u5c71\u7530\u8aa0\u4e8c\uff0c\u99ac\u5834\u53e3\u767b (1996). \u89b3\u6e2c\u884c\u52d5\u3092\u4f34\u3046\u4eee\u8aac\u63a8\u8ad6\u306e\u305f\u3081\u306e\u30b3\u30b9\u30c8\u30fb\u52b9\u7528\u30fb\u4fe1\u983c\u5ea6\u306b\u3088\u308b\u4eee\u8aac\u9078\u597d\uff0c\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u8ad6\u6587\u8a8c\uff0c11(5), 795-798.<\/li>\n\n\n\n
  115. \u5c71\u7530\u8aa0\u4e8c\uff0c\u7912\u7530\u4f73\u61b2\uff0c\u8c4a\u7530\u9806\u4e00 (1996). \u5358\u7d14\u30bf\u30a4\u30eb\u30ef\u30fc\u30eb\u30c9\u306b\u304a\u3051\u308bSIP\u306e\u5b9f\u9a13\u7684\u8a55\u4fa1\uff0c\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u8ad6\u6587\u8a8c\uff0c11(5), 744-751.<\/li>\n\n\n\n
  116. \u5c71\u7530\u8aa0\u4e8c (1996). \u52d5\u7684\u74b0\u5883\u306b\u304a\u3051\u308b\u6210\u529f\u78ba\u7387\u3092\u7528\u3044\u305f\u719f\u8003\u306e\u5236\u5fa1\uff0c\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u8ad6\u6587\u8a8c\uff0c11(4), 645-652.<\/li>\n\n\n\n
  117. \u5e73\u5c71\u52dd\u654f\uff0c\u5c71\u7530\u8aa0\u4e8c\uff0c\u8c4a\u7530\u9806\u4e00 (1995). \u5206\u6563\u5236\u7d04\u5145\u8db3\u306b\u304a\u3051\u308b\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u306e\u975e\u96c6\u4e2d\u7684\u7d44\u7e54\u5316\uff0c\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u8ad6\u6587\u8a8c\uff0c10(4), 636-640.<\/li>\n\n\n\n
  118. \u5e73\u5c71\u52dd\u654f\uff0c\u5c71\u7530\u8aa0\u4e8c\uff0c\u8c4a\u7530\u9806\u4e00 (1995). \u5c71\u767b\u308a\u6cd5\u3092\u7528\u3044\u305f\u5206\u6563\u5236\u7d04\u5145\u8db3\u306b\u304a\u3051\u308b\u7d44\u7e54\u5316\uff0c\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u8ad6\u6587\u8a8c\uff0c10(1), 80-87.<\/li>\n\n\n\n
  119. \u5c71\u7530\u8aa0\u4e8c (1994). EBL\u52b9\u7528\u554f\u984c\u306e\u5b9f\u7528\u7684\u89e3\u6c7a\u3068\u305d\u306e\u30aa\u30f3\u30e9\u30a4\u30f3\u8a55\u4fa1\uff0c\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u8ad6\u6587\u8a8c\uff0c9(3), 393-399.<\/li>\n\n\n\n
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  121. \u5c71\u7530\u8aa0 \u4e8c (1991). EBL\u306b\u3068\u3063\u3066\u8aac\u660e\u3068\u306f\u4f55\u304b\uff0c\u8a8d\u77e5\u79d1\u5b66\u306e\u767a\u5c55\uff0c4\uff0c23-50.<\/li>\n\n\n\n
  122. \u5c71\u7530\u8aa0\u4e8c\uff0c\u8fbb \u4e09\u90ce (1990). \u5b66\u7fd2\u3055\u308c\u305f\u6226\u7565\u77e5\u8b58\u306b\u3088\u308b\u6559\u6750\u77e5\u8b58\u306e\u751f\u6210\uff0c\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u8ad6\u6587\u8a8c\uff0c 5(6), 787-795.<\/li>\n\n\n\n
  123. \u5c71\u7530\u8aa0\u4e8c\uff0c\u8fbb\u4e09\u90ce (1989). \u5b8c\u5168\u56e0\u679c\u6027\u306b\u3088\u308b\u30de\u30af\u30ed\u30aa\u30da\u30ec\u30fc\u30bf\u306e\u9078\u629e\u7684\u5b66\u7fd2\uff0c\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u8ad6\u6587\u8a8c, 4(3), 321-329.<\/li>\n\n\n\n
  124. \u5c71\u7530\u8aa0\u4e8c\uff0c\u8fbb\u4e09\u90ce\uff0c\u5b89\u90e8\u61b2\u5e83 (1988). \u76f4\u63a5\u89e3\u6c7a\u53ef\u80fd\u6027\u306b\u57fa\u3065\u304f\u4e00\u822c\u5316\uff1aDSBG\u2015\u64cd\u4f5c\u53ef\u80fd\u306aSOLVABLE\u6982\u5ff5\u306e\u5b9a\u7fa9\u3065\u3051\u2015\uff0c\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u8ad6\u6587\u8a8c\uff0c3(6), 783-791.<\/li>\n\n\n\n
  125. \u5c71\u7530\u8aa0\u4e8c\uff0c\u5b89\u90e8\u61b2\u5e83\uff0c\u8fbb\u4e09\u90ce (1988). \u554f\u984c\u89e3\u6c7a\u306b\u304a\u3051\u308b\u6226\u7565\u77e5\u8b58\u5b66\u7fd2\u30b7\u30b9\u30c6\u30e0\uff1aPiL \u20151\u6b21\u65b9\u7a0b\u5f0f\u30fb\u4e0d\u7b49\u5f0f\u3067\u306e\u30b1\u30fc\u30b9\u30b9\u30bf\u30c7\u30a3\u30fc\uff0c\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u8ad6\u6587\u8a8c\uff0c3(2),, 206-215.<\/li>\n\n\n\n
  126. \u5c71\u7530\u8aa0\u4e8c\uff0c\u5b89\u90e8\u61b2\u5e83\uff0c\u8fbb\u4e09\u90ce (1986). \u96fb\u6c17\u30c9\u30ea\u30eb\u5206\u89e3\u30fb\u7d44\u7acb\u3066\u30b3\u30f3\u30b5\u30eb\u30bf\u30f3\u30c8\u30fb\u30b7\u30b9\u30c6\u30e0\uff0c\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u8ad6\u6587\u8a8c 1(1), 116-123.<\/li>\n<\/ol>\n\n\n\n

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