Abstract
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.
Key words
s on Human Factors in Computing Systems. Florence, Italy. New York:ACM, 2008:3063- 3068.
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CHEN Huai-lin, LI Wen-xin, Du Xin-tong, ZHANG Wen-li.
Interaction Design of Intelligent Agricultural Machinery Management and Control System Based on Context-awareness[J]. Packaging Engineering. 2023, 44(22): 123-130 https://doi.org/10.19554/j.cnki.1001-3563.2023.22.014
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