• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

Computer Engineering & Science

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A knowledge representation method for human-machine
interface based on optimization purposes

CAO Zhun1,2,LI Yong-jian1   

  1. (1.Laboratory of Human-Factor and Cognitive Sciences Engineering,
    School of Economics and Management,Southwest Jiaotong University,Chengdu 610031;
    2.Sichuan Electric Power Design Institute,Chengdu 610072,China)
  • Received:2015-10-26 Revised:2015-12-07 Online:2017-03-25 Published:2017-03-25

Abstract:

We describe a new knowledge representation method for human-computer interface. Based on the semantic network, we analyze the operating processes and interactions, and propose a knowledge representation method for human-computer interface based on the object-oriented semantic network and it is helpful for describing the interface semantic knowledge. We define the concept of feature sets inference rules and the interaction model. The representation method can describe the interaction from the perspectives of interface and psychological semantic models, and experiments on a mobile phone interface verify the effectiveness of our proposal.

Key words: human-computer interface, semantic network, representation of knowledge, interface optimization, human-computer interaction