基于情境感知的智慧农机管控系统交互设计研究

Interaction Design of Intelligent Agricultural Machinery Management and Control System Based on Context-awareness

中文关键词: 情境感知  农机管控系统  层次任务分析  智能交互

英文关键词: s on Human Factors in Computing Systems. Florence, Italy. New York:ACM, 2008:3063- 3068.

中文摘要:

      目的 探索情境感知在智慧农机管控系统交互设计中的应用，以期改善传统农机管控系统中信息感知效率低、缺乏智能服务等问题，为用户提供更好的使用体验，并为智慧农业类系统的设计开发提供参考。方法 梳理情境感知理论，总结归纳农机管控系统中的用户情境、作业情境、设备情境、环境情境这四类情境信息，分析其与农机管控系统各层次任务的对应关系，据此提出智慧农机管控系统交互设计策略，并结合用户体验五层次进行设计实施。结论 情境感知理论的运用不仅加强了系统对情境信息的感知能力，还便于深度挖掘用户需求，针对不同的情境服务采取合适的交互形式，既优化了农机作业的管控，又为用户提供精准、高效的服务，提高了系统智能程度和体验性。

英文摘要:

      The work aims to explore the application of context-awareness in the interaction design of intelligent agricultural machinery management and control systems, in order to improve the traditional agricultural machinery management and control systems such as low efficiency of information perception, lack of intelligent services and other problems, to provide a better experience for users and reference for design and development of intelligent agricultural systems. The context-awareness theory was sorted out, the four types of context information in the agricultural machinery management and control system were summarized, including:user context, operation context, equipment context, and environmental context, and the corresponding relationship between them and the tasks at all levels of the agricultural machinery management and control system was analyzed. Based on this, the interaction design strategy was proposed for the intelligent agricultural machinery management and control system and then designed and implemented in combination with the five levels of user experience. The application of context-awareness theory not only strengthens the system's ability to perceive context information, but also facilitates in-depth exploration of user needs, and adopts appropriate interactive forms for different context services, which not only optimizes the management and control of agricultural machinery operations, but also provides users with accurate and efficient service and improves the system intelligence and experience.