Cognitive Diagram Understanding and Task Performance in Systems Analysis and Design

MIS Q. Pub Date : 2021-12-01 DOI:10.25300/misq/2021/15262
Monika Malinova, J. Mendling
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引用次数: 10

Abstract

Models play an important role in systems analysis and design (SAD). A diagrammatic model is defined as a mapping from a domain to a visual representation in such a way that relevant information is preserved to meet a specific goal. So far, cognitive research on diagram criteria in relation to task performance has been fragmented. The aim of this paper is to (1) consolidate research on the cognitive processing steps involved during understanding and task performance with diagrams, (2) consolidate corresponding criteria for such diagrams to best support cognitive processing, and (3) demonstrate the support effective diagrams provide for performing SAD tasks. Addressing the first aim, we develop a theoretical cognitive framework of task performance with diagrams called CogniDia. It integrates different cognitive theories from research on diagrams in software engineering and information systems. Regarding the second aim, we review the literature to organize criteria for effective cognitive processing of diagrams. We identify research gaps on verbal and task processing. Regarding the third aim, we use the theoretical cognitive framework to investigate how diagrams support the SAD process effectively.
系统分析与设计中的认知图理解与任务表现
模型在系统分析与设计(SAD)中起着重要的作用。图解模型被定义为从域到可视化表示的映射,以这样一种方式保存相关信息以满足特定目标。到目前为止,与任务绩效相关的图表标准的认知研究是碎片化的。本文的目的是:(1)用图表巩固对理解和任务执行过程中涉及的认知加工步骤的研究,(2)巩固这些图表的相应标准,以最佳地支持认知加工,(3)展示有效图表为执行SAD任务提供的支持。针对第一个目标,我们开发了一个名为CogniDia的任务绩效理论认知框架。它整合了来自软件工程和信息系统中图研究的不同认知理论。关于第二个目的,我们回顾文献,组织有效的认知加工图表的标准。我们确定了语言和任务处理方面的研究空白。关于第三个目标,我们使用理论认知框架来研究图表如何有效地支持SAD过程。
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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