| 摘要: |
| 目的 从神经人因学的视角出发，探讨双人协作任务中协作绩效的神经生理机制及其影响和促进。方法 采用文献调研和分析方法，分别对神经人因学、神经工效、人机交互、脑机接口等不同领域的相关文献进行了分析，首先系统梳理了神经人因学领域中双人协作任务中绩效的研究技术和方法;其次探讨了神经人因学视角下，协作任务中的绩效表现及其神经机制;再次在此基础上探讨了协作绩效的影响因素及如何增强和促进问题;最后总结了下一步神经人因学领域协作绩效研究如何在未来智能人机交互领域应用。结论 神经人因学视角下，双人协作任务中协作绩效的研究有助于理解人机协同作业或人机组队操作中，操作者之间的人际表征对协同、组队操作的影响作用，研究成果可直接应用于协同作业系统的设计和优化，特别是未来智能时代人机组队的设计和优化，满足众多复杂的人机系统协同作业设计的需求，为建立自然高效协同作业的交互模式提供科学依据。 |
| 关键词: 联合行动 联合Simon效应 协作能力 协作绩效 神经人因学 |
| DOI：10.19554/j.cnki.1001-3563.2021.04.002 |
| 分类号:TB472;B84 |
| 基金项目:国家自然科学基金面上项目(32071065);载人航天工程航天医学实验领域项目(HYZHXM03001);中央高校基本科研业务费重点项目(GK202002010) |
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| Neuroergonomics of Collaborative Performance in Two-person Collaborative Task |
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SONG Xiao-lei1,2, GUO Xiao-yu1
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(1.School of Psychology, Shaanxi Normal University, Xi’an 710062, China;2.Shaanxi Key Laboratory of Behavior and Cognitive Neuroscience, Xi’an 710062, China)
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| Abstract: |
| The work aims to discuss the neuroergonomics mechanism, influence and promotion of collaborative performance in two-person collaborative tasks from the perspective of neuroergonomics. Literature investigation and deep analysis were used to analyze relevant literatures in different fields such as neuro-human factors, neuroergonomics, human-computer interaction and brain-computer interface. Firstly, performance research techniques and methods in the field of neuroergonomics were systematically sorted out. Secondly, the performance and its neural mechanism in joint action tasks were discussed from the perspective of neuroergonomics. Thirdly, on this basis, the influencing factors of joint action performance and ways to enhance and promote issues were further clarified. Finally, ways to apply the result of collaborative performance above to the field of intelligent human-computer interaction in the future were summarized. The study of collaborative performance in joint action tasks from the perspective of neuroergonomics is helpful to understand the effect of interpersonal representations between operators on collaboration and teaming in human-machine collaborative or teaming operations. The results can be directly applied to the design and optimization of the collaborative operation system, especially the design and optimization of the intelligent agent in the future, to meet the needs of collaborative operation design in many complex human-machine systems, and provide scientific basis for the establishment of an interactive model of natural and efficient collaborative operation. |
| Key words: joint action joint Simon effect collaborative ability collaborative performance neuroergonomics |
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