在线知识社区知识社会建构中人机协作模式的形成机制研究——基于人机互补的视角  

Formation Mechanism of Human-Bot Collaboration Pat-terns in Knowledge Society Construction within Online Knowledge Community:A Perspective on Human-Bot Complementarity

作　　者：裘江南 张方芳 高双燕 王岍 蔡承杰 Qiu Jiangnan;Zhang Fangfang;Gao Shuangyan;Wang Qian;Cai Chengjie(School of Economics and Management,Dalian University of Technology)

机构地区：[1]大连理工大学经济管理学院

出　　处：《南开管理评论》2024年第5期117-128,共12页Nankai Business Review

基　　金：国家自然科学基金项目(72074044)资助。

摘　　要：随着AI的发展,在线知识社区(OKC)正成为人与机器人协作知识社会建构的重要平台。然而,目前人机协作的相关研究缺乏从人机互补的视角来探究知识社会建构中人机协作模式的形成机制。本文基于社会建构主义理论和协调理论,从微观的人机属性出发,搭建了人机协作模式形成机制的研究框架,采用流程挖掘、交互作用检验等方法对模型假设进行检验。研究结果表明:人的认知能力、机器人的智能水平及感知能力均促进人辅助机器人和机器人辅助人循环结构人机协作模式的形成,而人的知识结构起着负向影响作用;人的知识结构及认知能力、机器人的感知能力均促进人辅助机器人和机器人辅助人循环结构人机协作模式的形成,而机器人的智能水平不起作用;人的知识结构和机器人的感知能力间存在交互作用,且任务复杂性对人机属性与人机协作模式形成之间的关系具有调节作用。本研究丰富了有关OKC人机协作的实证研究,拓展了人机互补关系相关理论在OKC人机协作知识社会建构中的应用,同时为社区管理及运营提供了实践启示。With the development of AI,Online Knowledge Communities(OKCs)are becoming important platforms for the co-construction of knowledge by humans and bots.In the co-construction process,it requires humans and bots to leverage their respective strengths to complete tasks with varying degrees of complexity.The complementary of these strengths mitigates individual limitations,fostering a healthier community development.Therefore,it is crucial to explore how humans and bots with different attributes can form efficient collaboration patterns based on their complementary relationship,especially for the social construction of knowledge within OKCs.Current research gap exists in exploring the formation mechanism of human-bot collaboration patterns in the process of knowledge social construction from the perspective of human-bot complementary.To address this gap,based on Social Constructivism Theory and Coordination theory,this paper constructs a research framework for the formation of the human-bot collaboration patterns from the microscopic hu-manbot attributes,and uses process mining,Interaction effect testing and other methods to test the model hypotheses.The results show that:(1)The cognitive attributes of humans and the perceptual attributes of bots can facilitate the formation of different types of human-bot collab-oration patterns.In details,humans`cognition ability,bots`intelligence level and perception ability all promote the formation of sequential human-bot collaboration patterns,while humans`cognition structure plays a negative role;humans`knowledge structure and cognition abili-ty,bots`perception ability significantly promote the formation of cyclic human-bot collaboration patterns,while bots`intelligence level does not work;(2)in all types of human-bot collaboration patterns,there is an interaction relationship between the cognitive structure of humans and the perceptual capabilities of bots;(3)task complexity moderates the relationship between human-bot attributes and the formation of collaboration patterns.In

关 键 词：在线知识社区 知识社会建构 人机协作模式 人机交互作用 

分 类 号：G203[文化科学—传播学] TP18[自动化与计算机技术—控制理论与控制工程] TP242[自动化与计算机技术—控制科学与工程]