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机器行为视角下人智交互:交互模式、影响因素与前沿展望

Human-Intelligence Interaction from the Perspective of Machine Behavior:Interaction Models, Influencing Factors, and Future Prospects

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【作者】 蒋智慧; 曹高辉;

【Author】 JIANG Zhihui;CAO Gaohui;School of Information Management, Central China Normal University;Center for Data Governance and Intelligent Decision-Making of Hubei Province;

【通讯作者】 曹高辉;

【机构】 华中师范大学信息管理学院; 湖北省数据治理与智能决策研究中心;

【摘要】 【目的/意义】在人工智能技术快速发展的背景下,人智交互研究日益受到关注。系统梳理该领域的研究成果,可以为相关理论发展与实践应用提供一定的参考和借鉴。【方法/过程】采用文献调研、对比分析等方法,对机器行为视角下人智交互的关键概念、理论基础、研究情境、研究方法及研究主题进行归纳与探讨。【结果/结论】分析发现,当前研究主题集中在人智交互模式、人智交互影响因素和人智交互对用户的影响结果三个方面。【创新/局限】以机器行为视角为切入点,梳理归纳了当前人智交互的研究主题,并提出未来发展方向。

【Abstract】 【Purpose/significance】 Against the backdrop of rapid advancements in artificial intelligence technology, research on human-intelligence interaction has attracted increasing attention. A systematic review of studies in this field can offer valuable insights and references for theoretical development and practical applications.【Method/process】By employing literature review and comparative analysis methods, this study synthesizes and examines key concepts, theoretical foundations, research contexts, methodologies, and research themes.【Result/conclusion】This study reveals that current research themes primarily focus on three aspects:human-intelligence interaction models, influencing factors of human-intelligence interaction, and the impact of human-intelligence interaction on users.【Innovation/limitation】From the perspective of machine behavior, this study synthesizes current research themes on human-intelligence interaction and proposes future research directions.

【基金】 中央高校基本科研业务费资助(优创项目)“机器行为视角下人工智能产品适应性创新机制研究”(2024CXZZ139)
  • 【文献出处】 情报科学 ,Information Science , 编辑部邮箱 ,2025年08期
  • 【分类号】G206;TP18
  • 【下载频次】102
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