摘要
针对人机交互界面灵活性差、适应性不强、缺乏学习功能等问题,将多Agent技术引入用户界面设计中。界面采用可视化的知识表示,知识库直观,知识获取直接面对领域专家,实现了知识自动获取。同时界面针对不同用户群设计了多种界面变体,实现了一种通过广义状态转移网络学习、进化、预测用户行为并能自主动作的自适应界面Agent模型,从而增强了系统的灵活性和对用户的适应性;此外建立了智能引导和帮助,集成了语音合成技术,使系统更易学易用。
Use the multi-agent technology in user's interface design. The interface was showed by using visual knowledge, and the process of gaining knowledge was directly facing the reciprocal experts. It enhanced the flexibility of the system by implementing various interface forms for different users. In addition, it enhanced the system's flexibility and the adaptability for different users because it defined an Agent model which had self- adapting interface and had the character of network study evolution.
出处
《华北电力大学学报（自然科学版）》
CAS
北大核心
2005年第2期80-85,共6页
Journal of North China Electric Power University：Natural Science Edition
基金
国家自然科学基金资助项目(60373062)
湖南省杰出中青年专家科技项目基金资助项目(02JJYB012)
湖南省自然科学基金资助项目(04JJ3052).
关键词
软件开发
软件系统
多智能体
交互界面系统
人工智能
人机界面
intelligent interactive interface
multi agent system
visual system
interface model
generalized transition network
