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首页> 外文期刊>International journal of human-computer studies >Users are individuals: Individualizing user models
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Users are individuals: Individualizing user models

机译：用户是个人：个性化用户模型

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It has long been recognized that in order to build a good system in which a person and a machine cooperate to perform a task it is important to take into account some significant characteristics of people. These characteristics are used to build some kind of a `user model'. Traditionally, the model that is built is a model of a canonical (or typical) user. But often individual users vary so much that a model of a canonical user is insufficient. Instead, models of individual users are necessary. This article presents some examples of situations in which individual user models are important. It also presents some techniques that make the construction and use of such models possible. These techniques all reflect a desire to place most of the burden of constructing the models on the system, rather than on the user. This leads to the development of models that are collections of good guesses about the user. Thus some kind of probabilistic reasoning is necessary. And as the models are being used to guide the underlying system, they must also be monitored and updated as suggested by the interactions between the user and the system. The performance of one system that uses some of these techniques is discussed.
机译：早已认识到，为了建立一个人与机器协作执行任务的良好系统，重要的是要考虑到人的一些重要特征。这些特征用于建立某种“用户模型”。传统上，构建的模型是规范（或典型）用户的模型。但是通常单个用户的差异很大，以至于规范用户的模型不足。而是，需要单个用户的模型。本文介绍了一些情况，其中个别用户模型很重要。它还提出了一些使构建和使用此类模型成为可能的技术。这些技术都反映了一种将构建模型的大部分负担置于系统而非用户身上的愿望。这导致模型的开发，这些模型是关于用户的良好猜测的集合。因此，某种概率推理是必要的。并且，由于使用这些模型来指导底层系统，因此还必须根据用户与系统之间的交互作用建议，对它们进行监视和更新。讨论了使用其中一些技术的系统的性能。

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