2015
DOI: 10.1016/j.ijhcs.2015.05.007
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Influence factors for local comprehensibility of process models

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Cited by 24 publications
(28 citation statements)
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“…Together the characteristics of the process model, such as model-based metrics, and the content of the labels and the characteristics of the comprehension task determine the intrinsic cognitive load of a comprehension task. Therefore, cognitive load is also influenced by how comprehension is measured, as comprehension performance in an experiment varies according to the questions asked (Figl and Laue 2015) and the kind and amount of assistance given to subjects (e.g., Soffer et al 2015).…”
Section: Process Model Comprehension and Cognitive Loadmentioning
confidence: 99%
“…Together the characteristics of the process model, such as model-based metrics, and the content of the labels and the characteristics of the comprehension task determine the intrinsic cognitive load of a comprehension task. Therefore, cognitive load is also influenced by how comprehension is measured, as comprehension performance in an experiment varies according to the questions asked (Figl and Laue 2015) and the kind and amount of assistance given to subjects (e.g., Soffer et al 2015).…”
Section: Process Model Comprehension and Cognitive Loadmentioning
confidence: 99%
“…Different works have focused on different forms of complexity, and all these complexities contribute to the decreased understandability of process models. The independent variables investigated in the work on complexity include: number of arcs and nodes [98,124], number of gateways [1,131,138], number of events [1], number of loops [37], and number of concurrencies [97], length of the longest path [97,138], depth of nesting [49], and gateway heterogeneity [97,138]. Number of concurrencies means the number of paths that should be executed in parallel.…”
Section: Process Model Understanding Factorsmentioning
confidence: 99%
“…Other factors affecting process model understanding include symbol color systems [76], syntax highlighting [131], label styles [96], label abstractness [37], and label length [97]. Symbol color systems use different colors for different symbols.…”
Section: Process Model Understanding Factorsmentioning
confidence: 99%
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