From adaptive hypertext to personalized web companions
From adaptive hypertext to personalized web companions
复制标题
从自适应超文本到个性化网络伴侣
DOI：
10.1145/506218.506243
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发表时间：
2002
期刊：
影响因子：
--
通讯作者：
T. Rist
中科院分区：
文献类型：
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作者：
E. André;T. Rist
动画角色的附加值不仅仅是它提供有关网站的附加信息的能力，因为这也可以通过其他方式来实现。更重要的是为用户创造一种新的浏览体验，用户不再需要自己上网，而是置身于虚拟角色的社交环境中。自适应的基于Web的接口，因为他们增加了适应过程的复杂性，并要求我们重新考虑这种接口的设计，会话代理的研究是一个很大的挑战。特别是，需要考虑此处所述的问题。与传统的网站相比，会话代理需要高度的上下文感知。在超媒体社区中，如果用户第二次访问一个网页，是否应该改变它仍然是一个争论的问题。一方面，超媒体系统应该考虑用户是否已经看到了一个页面。相反，可能会发生用户无法找到以前访问过的页面，只是因为系统已经开始了它的适应过程。与传统的网站不同，动画角色提高了人们对人类适应行为的期望。当用户返回到某个网页时，如果一个角色一次又一次地说出相同的评论，这是相当令人恼火的。此外，单调和可预测的行为破坏了从自适应超文本到
The added value of an animated character is not just its ability to provide additional information about a Web site, as this could be done by other means just as well. More important is the creation of a new browsing experience for the user who no longer has to surf the Web on his or her own, but is instead situated in a social context with virtual characters. Embodied conversational agents represent a great challenge to research on adaptive Web-based interfaces because they add complexity to the adaptation process and require us to rethink the design of such interfaces. In particular, the issues described in here need to be considered. Compared to conventional Web sites, conversational agents require a high degree of context-awareness. In the hypermedia community, it is still a matter of debate whether a Web page should change if the user visits it a second time. On one side of the argument, a hypermedia system should consider whether the user has already seen a page. Conversely, it might happen that the user cannot find a previously visited page anymore, just because the system has started its adaptation process. Unlike conventional Web sites, animated characters raise expectations of human adaptation behavior. It is rather irritating if a character utters the same comment again and again whenever the user returns to a certain Web page. In addition, monotonous and predictable behavior destroys From Adaptive Hypertext to