Influence factors for local comprehensibility of process models

Figl, Kathrin and Laue, Ralf (2015) Influence factors for local comprehensibility of process models. International Journal of Human-Computer Studies, 82. pp. 96-110. ISSN 1071-5819

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The main aim of this study is to investigate human understanding of process models and to develop an improved understanding of its relevant influence factors. Aided by assumptions from cognitive psychology, this article attempts to address specific deductive reasoning difficulties based on process models. The authors developed a research model to capture the influence of two effects on the cognitive difficulty of reasoning tasks: (i) the presence of different control-flow patterns (such as conditional or parallel execution) in a process model and (ii) the interactivity of model elements. Based on solutions to 61 different reasoning tasks by 155 modelers, the results from this study indicate that the presence of certain control-flow patterns influences the cognitive difficulty of reasoning tasks. In particular, sequence is relatively easy, while loops in a model proved difficult. Modelers with higher process modeling knowledge performed better and rated subjective difficulty of loops lower than modelers with lower process modeling knowledge. The findings additionally support the prediction that interactivity between model elements is positively related to the cognitive difficulty of reasoning. Our research contributes to both academic literature on the comprehension of process models and practitioner literature focusing on cognitive difficulties when using process models.

Item Type: Article
Additional Information: To see the final version of this paper please visit the publisher's website. Access to the published version requires a subscription.
Keywords: Deductive reasoning; Business process models; Model comprehension; Cognitive complexity
Divisions: Departments > Informationsverarbeitung u Prozessmanag. > Wirtschaftsinformatik und Neue Medien
Version of the Document: Accepted for Publication
Depositing User: Gertraud Novotny
Date Deposited: 17 Jul 2017 11:17
Last Modified: 17 Jul 2017 13:27
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