Adapting software to the user's cognitive style: field dependence-field independence

D. Valentine
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引用次数: 4

Abstract

As microcomputer technology converges with methods of artificial intelligence, we should see small computing systems that are more responsive to the cognitive functioning of the user. That is, the software should be able to adapt to the user's “cognitive style,” or normal mode of processing information. This paper will discuss one measure of cognitive style, Witkin's model of psychological differentiation, and how it can be used to generate such responsive software systems. The examples are drawn largely from Computer Assisted Instruction (CAI) programs, but the issues are applicable to a broad range of small systems software.
使软件适应用户的认知风格:领域依赖-领域独立
随着微型计算机技术与人工智能方法的融合,我们应该看到小型计算系统对用户的认知功能反应更灵敏。也就是说,软件应该能够适应用户的“认知风格”,或者正常的信息处理模式。本文将讨论认知风格的一种测量方法,即Witkin的心理分化模型,以及如何使用它来生成这种响应式软件系统。这些例子主要来自计算机辅助教学(CAI)程序,但这些问题适用于广泛的小型系统软件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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