Boutin Karl-David, Davis Christopher, Hevner Alan, Léger Pierre-Majorique, Labonte-LeMoyne Elise
Department of Information Technologies, HEC Montréal, Montreal, QC, Canada.
School of Information Systems and Management, University of South Florida, Tampa, FL, United States.
Front Neurosci. 2022 Nov 24;16:982764. doi: 10.3389/fnins.2022.982764. eCollection 2022.
Business process models are widely used artifacts in design activities to facilitate communication about business domains and processes. Despite being an extensively researched topic, some aspects of conceptual business modeling are yet to be fully explored and understood by academicians and practitioners alike. We study the attentional characteristics specific to experts and novices in a semantic and syntactic error detection task across 75 Business Process Model and Notation (BPMN) models. We find several intriguing results. Experts correctly identify more error-free models than novices, but also tend to find more false positive defects. Syntactic errors are diagnosed faster than semantic errors by both groups. Both groups spend more time on error-free models. Our findings regarding the ambiguous differences between experts and novices highlight the paradoxical nature of expertise and the need to further study how best to train business analysts to design and evaluate conceptual models.
业务流程模型是设计活动中广泛使用的工件，用于促进有关业务领域和流程的沟通。尽管这是一个经过广泛研究的主题，但概念业务建模的某些方面仍有待学者和从业者充分探索和理解。我们在75个业务流程模型和符号（BPMN）模型的语义和句法错误检测任务中研究了专家和新手特有的注意力特征。我们发现了几个有趣的结果。专家比新手能正确识别更多无错误的模型，但也往往会发现更多误报缺陷。两组都能更快地诊断出句法错误而非语义错误。两组在无错误模型上花费的时间都更多。我们关于专家和新手之间模糊差异的研究结果凸显了专业知识的矛盾性质，以及进一步研究如何最好地培训业务分析师来设计和评估概念模型的必要性。
