基于偏好的用户界面设计人因知识库

C. Stephanidis, D. Akoumianakis
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引用次数: 10

摘要

本文提出并描述了一个表示框架和支持工具环境,用于将人为因素专业知识嵌入和传播到高级用户界面设计和开发平台中。所提出的框架允许用户界面设计人员引出、容纳和阐明用户界面指南和实验研究结果,并将其转化为可重用的、进化的和“活的”设计案例。表示框架的构建块是一组基本构造,用于将人为因素知识的语义整合到表征交互物理层面的设计表示中。这是通过开发一个基于偏好约束的逻辑框架和一组初始偏好和冷漠表达来实现的。偏好约束提供了一个推理引擎和一种证明策略,用于编译竞争设计方案的偏好排序,并随后将它们聚合到无关的类别中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Preference-Based Human Factors Knowledge Repository for Designing User Interfaces
This article proposes and describes a representational framework and a supporting tool environment for embedding and propagating human factors expertise into high level user interface design and development platforms. The proposed framework allows user interface designers to elicit, accommodate, and articulate user interface guidelines and results of experimental studies into reusable, evolutionary, and "living" design cases. The building blocks of the representational framework are a set of primitive constructs for consolidating the semantics of human factors knowledge into a design representation that characterizes the physical level of interaction. This is achieved through the development of a logical framework based on preference constraints and an initial set of preference and indifference expressions. The preference constraints provide a reasoning engine and a proof strategy for compiling a preference ordering of competing design alternatives and subsequently aggregating them into indifferent classe...
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