文章摘要
李君,支锦亦,李然,吴永萌.基于认知任务分析的智能系统交互设计路径研究[J].包装工程,2020,41(18):29-37.
基于认知任务分析的智能系统交互设计路径研究
Interactive Design Approach of Intelligent System Based on Cognitive Task Analysis
投稿时间:2020-04-20  修订日期:2020-09-20
DOI:10.19554/j.cnki.1001-3563.2020.18.004
中文关键词: 认知任务分析  智能系统  人机交互  菜单引导制动试验
英文关键词: cognitive task analysis  intelligent system  human-computer interaction  menu guided brake test
基金项目:
作者单位
李君 西南交通大学成都 611756 
支锦亦 西南交通大学成都 611756 
李然 西南交通大学成都 611756 
吴永萌 西南交通大学成都 611756 
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中文摘要:
      目的 在信息技术与人类社会深度融合,以及以人工智能为代表的新兴技术推动机器更为智能的时代,操作人员面临着日益复杂的认知需求。在此背景下,从认知任务分析的视角研究适合智能系统交互设计的路径。方法 通过文献分析、实地观察和访谈,分析并总结认知任务分析的理论和工具,提出适合高速列车菜单引导制动试验系统交互界面设计的认知任务分析方法,以及以此为基础的交互设计路径。结论 从历史角度,认知任务分析的诞生和发展与机器智能程度的不断提升密不可分。认知任务分析在复杂智能系统的设计中历史悠久,应用广泛。基于认知任务分析的交互设计路径是高速列车菜单引导制动试验界面设计的一种合适方法,也可以用于类似的智能系统交互设计场景,路径的关键是根据目标研究领域的实际限制选取认知任务分析方法。
英文摘要:
      The work aims to study the approach suitable for interactive design of intelligent systems from the perspective of cognitive task analysis in the era when information technology and human society are deeply integrated, emerging technologies represented by artificial intelligence are pushing machines to be more intelligent and operators are facing increasingly complex cognitive needs. Through literature analysis, field observations and interviews, the theory and tools of cognitive task analysis were analyzed and summarized, and a cognitive task analysis approach suitable for the design of the interactive interface of the menu-guided brake test system of high-speed trains was proposed. From the historical perspective, the birth and development of cognitive task analysis are inseparable from the continuous improvement of machine intelligence. Cognitive task analysis has a long history and is widely used in the design of complex intelligent systems. The interactive design approach based on cognitive task analysis is a suitable method for designing the menu-guided brake test interface of high-speed trains and can also be used in similar intelligent system interaction design scenarios. The key to this approach is the selection of cognitive task analysis methods based on the real-world limitations of the target research field.
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