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Eye Tracking Meets the Process of Process Modeling: A Visual Analytic Approach

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Business Process Management Workshops (BPM 2016)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 281))

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Abstract

Research on the process of process modeling (PPM) studies how process models are created. It typically uses the logs of the interactions with the modeling tool to assess the modeler’s behavior. In this paper we suggest to introduce an additional stream of data (i.e., eye tracking) to improve the analysis of the PPM. We show that, by exploiting this additional source of information, we can refine the detection of comprehension phases (introducing activities such as “semantic validation” or “problem understanding”) as well as provide more exploratory visualizations (e.g., combined modeling phase diagram, heat maps, fixations distributions) both static and dynamic (i.e., movies with the evolution of the model and eye tracking data on top).

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Notes

  1. 1.

    Cheetah Experimental Platform is available at http://www.cheetahplatform.org.

  2. 2.

    Actually, an approximation is applied by diving the AOIs with a “grid system”.

  3. 3.

    Animations are available at http://bpm.q-e.at/eye_tracking_ppm.

  4. 4.

    Higher resolution versions can be found at http://bpm.q-e.at/eye_tracking_ppm.

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Acknowledgements

This work is partially funded by the Austrian Science Fund project “The Modeling Mind: Behavior Patterns in Process Modeling” (P26609).

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Correspondence to Andrea Burattin .

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Burattin, A., Kaiser, M., Neurauter, M., Weber, B. (2017). Eye Tracking Meets the Process of Process Modeling: A Visual Analytic Approach. In: Dumas, M., Fantinato, M. (eds) Business Process Management Workshops. BPM 2016. Lecture Notes in Business Information Processing, vol 281. Springer, Cham. https://doi.org/10.1007/978-3-319-58457-7_34

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  • DOI: https://doi.org/10.1007/978-3-319-58457-7_34

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