将任务阶段识别纳入长期文件支持过程的探索性研究

I-Chin Wu, Pei-Cheng Chang
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引用次数: 0

摘要

随着组织记忆中的信息(和知识)数量的增加以及万维网的惊人增长,知识工作者越来越多地遭受信息过载的困扰。由于知识密集型任务越来越复杂,需要一种分析技术来向工作人员交付与任务相关的文档。在这项研究中,我们提出了一种任务阶段识别技术,在整个任务执行过程中提供有效的文档支持。采用基于相关值的模式相似度分析方法识别工人的任务阶段。结果被合并到概要适应过程中,以生成工作人员当前的任务概要。我们在一家研究所进行了一项初步研究。结果证实了在知识密集型工作环境中提出的文件支持流程的有效性
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Exploratory Study of Incorporating Task-Stage Identification into a Long-Term Document Support Process
With the increasing amount of information (and knowledge) in organizational memories and the phenomenal growth of the World Wide Web, knowledge workers are increasingly suffering from information overload. Because of the growing complexity of knowledge-intensive tasks, a profiling technique is needed to deliver task-relevant documents to workers. In this study, we propose a task-stage identification technique that provides effective document support throughout the execution of a task. A pattern similarity analysis method based on the correlation value is used to identify a worker's task-stage. The results are incorporated into a profile adaptation process to generate the worker's current task profile. We conducted a pilot study in a research institute. The results confirm the effectiveness of the proposed document support process in a knowledge-intensive working environment
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