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Expert-Sided Workflow Data Acquisition by Means of an Interactive Interview System

机译:借助交互式面试系统进行专家协助的工作流数据采集

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摘要

This paper outlines an approach for gathering workflow data via an interactive interview system. By means of this approach, data acquisition for a subsequent task and/or process analysis is conducted by a process expert instead of a process analyst as customary in application of conventional data acquisition methods. Beside other problems concerning existing techniques, this may solve the dilemma of a lacking common basis between expert and analyst in terms of process knowledge and process thinking. A classification method is described which allows a definition of processes acquirable by the system. Furthermore, a procedure for decomposing processes is used to gather workflow data in a systematic way. During system application, feedback by sub-process models directs experts to process thinking while system records impart process knowledge for the analyst. The applicability of this approach is shown by results of a first system evaluation. Advantages and disadvantages in relation to common data acquisition methods are stated.
机译:本文概述了一种通过交互式采访系统收集工作流数据的方法。通过这种方法,用于后续任务和/或过程分析的数据获取是由过程专家而不是常规数据获取方法中惯用的过程分析人员进行的。除了与现有技术有关的其他问题外,这还可以解决专家和分析师之间在过程知识和过程思维方面缺乏通用基础的难题。描述了一种分类方法,该方法允许定义系统可获取的过程。此外,用于分解过程的过程用于以系统的方式收集工作流数据。在系统应用期间,子过程模型的反馈将指导专家进行过程思考,而系统记录则为分析人员提供过程知识。第一次系统评估的结果表明了该方法的适用性。陈述了与常用数据采集方法有关的优缺点。

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