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The Effect of Rule Linking on Business Process Model Understanding

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Integrating Business Process Models and Rules

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 343))

Abstract

In this chapter, we develop hypotheses that rule linking can improve process model understanding accuracy, time efficiency, and reduce mental effort. Then we present our experiment investigating the effect of rule linking, a specific rule integration approach which uses graphical links to connect process model symbols with rules, on process model understanding. Our objective is two-fold. First, we test if linked rules can improve a model user’s understanding of business process and rules. Second, by using eye-tracking technology in the experiment, we break down the statistics to the Process Model Area, Rule Area and Question Area and see what kind of information (process model, or rules) contributes most to our hypotheses. Third, we investigate the differences between other aspects of human cognitive behaviour such as single visit time and attention switching between groups, further exploring whether linked rules can improve process model understanding.

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Notes

  1. 1.

    The experiment can be downloaded at: https://www.dropbox.com/s/g6jpb767m474vv2/experiment.rar?dl=0.

  2. 2.

    Qualtrics is a web-based survey platform. See: www.qualtrics.com.

  3. 3.

    Eclipse RCP is a platform for building applications. See: https://wiki.eclipse.org/Rich_Client_Platform.

  4. 4.

    For more specifications please see http://www.tobiipro.com/product-listing/tobii-pro-tx300.

  5. 5.

    Levene’s test is an inferential statistic used to assess the equality of variances for a variable calculated for two or more groups.

  6. 6.

    The Mann-Whitney U test is used to compare differences between two independent groups when the dependent variable is not normally distributed.

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Correspondence to Wei Wang .

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Wang, W. (2019). The Effect of Rule Linking on Business Process Model Understanding. In: Integrating Business Process Models and Rules. Lecture Notes in Business Information Processing, vol 343. Springer, Cham. https://doi.org/10.1007/978-3-030-11809-9_5

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  • DOI: https://doi.org/10.1007/978-3-030-11809-9_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-11808-2

  • Online ISBN: 978-3-030-11809-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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