任务依赖关系如何影响在线知识社区人机协作模式——基于机器行为学的实证研究

doi:10.3772/j.issn.1000-0135.2025.05.007

情报学报

2025, Vol. 44

Issue (5): 592-608 DOI: 10.3772/j.issn.1000-0135.2025.05.007

情报技术与应用

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任务依赖关系如何影响在线知识社区人机协作模式——基于机器行为学的实证研究

左敏¹, 裘江南²

1.山东理工大学管理学院，淄博 255000
2.大连理工大学经济管理学院，大连 116024

The Effects of Task Dependencies on Human-Bot Collaborative Patterns in Online Knowledge Communities: An Empirical Study from a Machine Behavior Perspective

Zuo Min¹, Qiu Jiangnan²

1.Business School, Shandong University of Technology, Zibo 255000
2.School of Economics and Management, Dalian University of Technology, Dalian 116024

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摘要在线知识社区（online knowledge community，OKC）引入机器人实现人机智能增强的关键，在于理解人类和机器人正在执行任务之间的依赖关系，以及协调团队工作的人机协作模式。首先，本文从机器行为学视角，使用流程挖掘方法对人机协作模式进行识别并细分为自动化辅助和增强辅助两类；其次，根据协调理论分析流型、整合型和共享型三种基本任务依赖关系对两类人机协作模式的影响，以及任务类型的调节效应。典型人机协作知识生产社区Wikipedia词条数据的实证分析结果表明，机器人辅助人类的增强辅助协作模式对三种任务依赖关系导致的人机团队协调问题具有很好的管理效果，而机器人独立执行的自动化辅助协作模式发挥的作用有限，并且上述影响关系会随着任务类型的变化而变化。本文拓展了机器行为学和协调理论在OKC人机协作知识生产中的应用，丰富了人机协作模式影响因素的实证研究，为OKC平台人机协作流程管理和任务设计提供了有益指导。

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	左敏
	裘江南

关键词 ：人机协作模式, 任务依赖关系, 任务类型, 在线知识社区

收稿日期: 2024-05-23

基金资助:山东省自然科学基金项目“智能增强视角下知识型员工对生成式AI的应对模式及应对策略研究”（ZR2024QG236）；国家自然科学基金项目“在线知识社区中的人机协作模式及对知识社会建构绩效影响研究”（72074044）；山东省自然科学基金项目“网络虚假健康信息传播机制与治理策略研究”（ZR2023MG032）。

作者简介: 左敏，男，1989年生，讲师，硕士生导师，主要研究领域为信息资源管理和人智协作；裘江南，通信作者，男，1964年生，教授，博士生导师，主要研究领域为知识管理和人工智能应用，E-mail：qiujn@dlut.edu.cn；

引用本文:

左敏, 裘江南. 任务依赖关系如何影响在线知识社区人机协作模式——基于机器行为学的实证研究[J]. 情报学报, 2025, 44(5): 592-608.
Zuo Min, Qiu Jiangnan. The Effects of Task Dependencies on Human-Bot Collaborative Patterns in Online Knowledge Communities: An Empirical Study from a Machine Behavior Perspective. 情报学报, 2025, 44(5): 592-608.

链接本文:

https://qbxb.istic.ac.cn/CN/10.3772/j.issn.1000-0135.2025.05.007 或 https://qbxb.istic.ac.cn/CN/Y2025/V44/I5/592

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