智能用户界面是致力于改善人机交互的高效率、有效性和自然性的人机界面.它通过表达、推理,并按照用户模型、领域模型、任务模型、谈话模型和媒体模型来实现人机交互.本文首先介绍了人机交互的基本内容,然后从用户和用户需求的多样化以及技术的变化为线索介绍了智能用户界面的发展,给出了智能用户界面的体系结构,总结了当前智能用户界面的主要研究课题.最后,简要介绍了智能用户界面当前的研究热点.未来的用户界面不仅能够通过认知因素来了解用户,也能够从非认知因素方面感知和理解用户.随着新的交互方式的出现和技术的更进一步发展,人们将很难区分当前进行的交互是人-机交互,还是人-人交互.

1引言 自适应用户界面促进了人机交互的质量.最近几年,自适应用户界面在基于Web的信息访问中其应用已变得日益重要.自适应用户界面通过构造和应用用户模型,能够动态适应当前用户和当前任务,为用户提供与手边任务和用户背景知识相关的信息,减少信息过载,辅助用户快速达到目标.

加入Web学习的用户虽然具有主动性,然而除了人-机交互,用户也需要人-人交互,因此协同组的构建是很重要的一个方面.协同学习有助于完善学习者的个性,促进学习者的学习效率,使学习者变得强大.不同于目前人为指定协同组的方法,提出了一种实现网络学习协同组构建的方法,提供协同学习机制支持.

1.问题引入 Internet的出现和发展,使得人类全部的信息资源以前所未有的程度和方式在全球内相互联通.信息资源即为在In-ternet上公开发布的网页和在线数据库的总和[1].在数字化校园实施过程中,如何开发利用信息资源,满足用户对信息的个性化需求,是信息化建设取得实效的关键.

The approach to organizing resource plays a major role in adaptive learning system(ALS). This paper proposes a wide-area six-hierarchy resource organization model, which has been applied to the construction of self-adaptive learning system to dynamically adapt to the needs of a particular user in accordance with his aptitude. And in this paper, we also introduce the implementation of controlling learning state.

In traditional Game Theory, there do not exist or exist many Nash balance points. So it is very difficult to find a solution,which could make every agent to be satisfied. At a view of human's daily life,this article tries to draw into a trusty third party to deal with some comparatively difficult game and condition, and draw into two communication behaviors: Asking Guarantee and Offering Compensation. That will make multi-agent find a compromise,stable,comparatively good solution in negotiation,which would satisfy every agent.