Abstract
Process modeling constitutes a fundamental task in the context of process-aware information systems. Besides process model creation, the reading and understanding of process models is of utmost importance. To better understand the latter, we have developed a conceptual framework focusing on the comprehension of business process models. By adopting concepts from cognitive neuroscience and psychology, the paper presents initial results from a series of eye tracking experiments on process model comprehension. The results indicate that experiences with process modeling have an influence on overall model comprehension. In turn, with increasing process model complexity, individuals with either no or advanced expertise in process modeling do not significantly differ with respect to process model comprehension. The results further indicate that both groups face similar challenges in reading and comprehending process models. The conceptual framework takes these results into account and provides the basis for the further experiments.
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Notes
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References
Ottensooser, A., Fekete, A., Reijers, H.A., Mendling, J., Meicstas, C.: Making sense of business process descriptions: an experimental comparison of graphical and textual notations. J. Syst. Softw. 85, 596–606 (2012)
Schultheiss, L.A., Heiliger, E.: Techniques of flow-charting. In: Proceedings of the 1963 Clinic on Library Applications of Data Processeing, pp. 62–78 (1963)
OMG: Business Process Management and Notation 2.0 (2017). www.bpmn.org. Accessed 27 Feb 2017
van der Aalst, W.M.P.: Formalization and verification of event-driven process chains. Inf. Softw. Technol. 41, 639–650 (1999)
Wilson, J.A.: Gantt charts: a centenary appreciation. Eur. J. Oper. Res. 149, 430–437 (2003)
Johansson, L.O., Wärja, M., Carlsson, S.: An evaluation of business process model techniques, using moody’ quality criterion for a good diagram. In: CEUR Workshop Proceedings, vol. 963 (2012)
Figl, K., Recker, J.: Exploring cognitive style and task-specific preferences for process representations. Requirements Eng. 21, 63–85 (2014)
Indulska, M., Green, P., Recker, J., Rosemann, M.: Business process modeling: perceived benefits. In: Laender, A.H.F., Castano, S., Dayal, U., Casati, F., Oliveira, J.P.M. (eds.) ER 2009. LNCS, vol. 5829, pp. 458–471. Springer, Heidelberg (2009). doi:10.1007/978-3-642-04840-1_34
Mendling, J., Reijers, H.A., van der Aalst, W.M.: Seven process modeling guidelines (7PMG). Inf. Softw. Technol. 52, 127–136 (2010)
Baars, B.J., Gage, N.M.: Cognition, Brain, and Consciousness: Introduction to Cognitive Neuroscience. Academic Press, London (2010)
Anderson, J.R.: Cognitive Psychology and its Implications. WH Freeman/Times Books/Henry Holt & Co, San Francisco (1990)
Weber, B., Reichert, M., Mendling, J., Reijers, H.A.: Refactoring large process model repositories. Comput. Ind. 62, 467–486 (2011)
Mendling, J.: Metrics for Process Models: Empirical Foundations of Verifiation, Error Prediction, and Guidelines for Correctness. Springer, Heidelberg (2008)
Majaranta, P.: Gaze Interaction and Applications of Eye Tracking: Advances in Assistive Technologies. IGI Global, Hershey (2011)
Salvucci, D.D., Goldberg, J.H.: Identifying fixations and saccades in eye-tracking protocols. In: Proceedings of the 2000 Symposium on Eye Tracking Research and Application, pp. 71–78 (2000)
Wohlin, C., Runeson, P., Höst, M., Ohlsson, M.C., Regnell, B., Wesslen, A.: Experimentation in Software Engineering - An Introduction. Kluwer, Norwell (2000)
SMI: iView X Hi-Speed (2016). http://www.smivision.com/en/gaze-and-eye-tracking-systems/products/iview-x-hi-speed.html. Accessed 27 Feb 2017
Sirkin, M.: Statistics for the Social Sciences. vol. 3. Sage, Beverly Hills (2005)
Zimoch, M., Kolb, J., Reichert, M.: Considering social distance as an influence factor in the process of process modeling. In: Schmidt, R., Guédria, W., Bider, I., Guerreiro, S. (eds.) BPMDS/EMMSAD -2016. LNBIP, vol. 248, pp. 97–112. Springer, Cham (2016). doi:10.1007/978-3-319-39429-9_7
Kiepuszewski, B., Hofstede, A.H.M., Bussler, C.J.: On structured workflow modelling. In: Wangler, B., Bergman, L. (eds.) CAiSE 2000. LNCS, vol. 1789, pp. 431–445. Springer, Heidelberg (2000). doi:10.1007/3-540-45140-4_29
Melcher, J., Mendling, J., Reijers, H.A., Seese, D.: On measuring the understandability of process models. In: Rinderle-Ma, S., Sadiq, S., Leymann, F. (eds.) BPM 2009. LNBIP, vol. 43, pp. 465–476. Springer, Heidelberg (2010). doi:10.1007/978-3-642-12186-9_44
Mendling, J., Reijers, H.A., Cardoso, J.: What makes process models understandable? In: Alonso, G., Dadam, P., Rosemann, M. (eds.) BPM 2007. LNCS, vol. 4714, pp. 48–63. Springer, Heidelberg (2007). doi:10.1007/978-3-540-75183-0_4
Reijers, H.A., Mendling, J.: Modularity in process models: review and effects. In: Proceedings of the 5th International Conference on Business Process Management, pp. 20–35 (2008)
Mendling, J., Strembeck, M., Recker, J.: Factors of process model comprehension- findings from a series of experiments. Decis. Support Syst. 53, 195–206 (2012)
Moody, D.L.: Cognitive load effects on end user understanding of conceptual models: an experimental analysis. In: Benczúr, A., Demetrovics, J., Gottlob, G. (eds.) ADBIS 2004. LNCS, vol. 3255, pp. 129–143. Springer, Heidelberg (2004). doi:10.1007/978-3-540-30204-9_9
Figl, K., Laue, R.: Cognitive complexity in business process modeling. In: Mouratidis, H., Rolland, C. (eds.) CAiSE 2011. LNCS, vol. 6741, pp. 452–466. Springer, Heidelberg (2011). doi:10.1007/978-3-642-21640-4_34
Moody, D.: The “Physics” of notations: toward a scientific basis for constructing visual notations in software engineering. Trans. Softw. Eng. 35, 756–779 (2009)
Linden, D., Zamansky, A., Hadar, I.: How cognitively effective is a visual notation? On the inherent difficulty of operationalizing the physics of notations. In: Schmidt, R., Guédria, W., Bider, I., Guerreiro, S. (eds.) BPMDS/EMMSAD -2016. LNBIP, vol. 248, pp. 448–462. Springer, Cham (2016). doi:10.1007/978-3-319-39429-9_28
Mele, M.L., Federici, S.: Gaze and eye-tracking solutions for psychological research. Cogn. Process. 13, 261–265 (2012)
Jacob, R.J.K., Karn, K.S.: Eye tracking in human-computer interaction and usability research: ready to deliver the promises. In: Mind, vol. 2 (2003)
Dobesova, Z., Malcik, M.: Workflow diagrams and pupil dilatation in eye tracking testing. In: Proceedings of 13th International Conference on EMER eLearning Technology and Application, pp. 59–64 (2015)
Hogrebe, F., Gehrke, N., Nüttgens, M.: Eye tracking experiments in business process modeling: agenda setting and proof of concept. In: Proceedings of 4th International Workshop on Enterprise Modelling and Information Systems Architectures, pp. 183–188 (2011)
Petrusel, R., Mendling, J.: Eye-tracking the factors of process model comprehension tasks. In: Proceedings of 25th International Conference on Advance Information System Engineering, pp. 224–239 (2013)
Martini, M., Pinggera, J., Neurauter, M., Sachse, P., Furtner, M., Weber, B.: The impact of working memory and the process of process modelling on model quality: investigating experienced versus inexperienced modellers. In: Scientific Reports, vol. 6 (2016)
Weber, B., Pinggera, J., Neurauter, M., Zugal, S., Martini, M., Furtner, M., Sachse, P., Schnitzer, D.: Fixation patterns during process model creation: initial steps toward neuro-adaptive process modeling environments. In: Proceedings 49th International Conference on System Sciences, pp. 600–609 (2016)
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Zimoch, M., Pryss, R., Probst, T., Schlee, W., Reichert, M. (2017). Cognitive Insights into Business Process Model Comprehension: Preliminary Results for Experienced and Inexperienced Individuals. In: Reinhartz-Berger, I., Gulden, J., Nurcan, S., Guédria, W., Bera, P. (eds) Enterprise, Business-Process and Information Systems Modeling. BPMDS EMMSAD 2017 2017. Lecture Notes in Business Information Processing, vol 287. Springer, Cham. https://doi.org/10.1007/978-3-319-59466-8_9
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