Skip to main content
Top

2019 | OriginalPaper | Chapter

The Repercussions of Business Process Modeling Notations on Mental Load and Mental Effort

Authors : Michael Zimoch, Rüdiger Pryss, Thomas Probst, Winfried Schlee, Manfred Reichert

Published in: Business Process Management Workshops

Publisher: Springer International Publishing

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Over the last decade, plenty business process modeling notations emerged for the documentation of business processes in enterprises. During the learning of a modeling notation, an individual is confronted with a cognitive load that has an impact on the comprehension of a notation with its underlying formalisms and concepts. To address the cognitive load, this paper presents the results from an exploratory study, in which a sample of 94 participants, divided into novices, intermediates, and experts, needed to assess process models expressed in terms of eight different process modeling notations, i.e., BPMN 2.0, Declarative Process Modeling, eGantt Charts, EPCs, Flow Charts, IDEF3, Petri Nets, and UML Activity Diagrams. The study focus was set on the subjective comprehensibility and accessibility of process models reflecting participant’s cognitive load (i.e., mental load and mental effort). Based on the cognitive load, a factor reflecting the mental difficulty for comprehending process models in different modeling notations was derived. The results indicate that established modeling notations from industry (e.g., BPMN) should be the first choice for enterprises when striving for process management. Moreover, study insights may be used to determine which modeling notations should be taught for an introduction in process modeling or which notation is useful to teach and train process modelers or analysts.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Footnotes
2
According to [26], \(\alpha>\) 0.6 acceptable reliability; 0.7 \(<\alpha<\) 0.9 good reliability.
 
Literature
1.
go back to reference Nowak, A., et al.: Flexible information design for business process visualizations. In: 5th International Conference on Service-Oriented Comp and App (SOCA 2012), pp. 1–8 (2012) Nowak, A., et al.: Flexible information design for business process visualizations. In: 5th International Conference on Service-Oriented Comp and App (SOCA 2012), pp. 1–8 (2012)
2.
go back to reference Bandara, W., Indulska, M., Chong, S., Sadiq, S.: Major issues in business process management: An Expert Perspective, pp. 1240–1251 (2007) Bandara, W., Indulska, M., Chong, S., Sadiq, S.: Major issues in business process management: An Expert Perspective, pp. 1240–1251 (2007)
3.
go back to reference Gulla, J.A., Brasethvik, T.: On the challenges of business modeling in large-scale reengineering projects. In: International Conference on Requirements Engineering, pp. 17–26 (2000) Gulla, J.A., Brasethvik, T.: On the challenges of business modeling in large-scale reengineering projects. In: International Conference on Requirements Engineering, pp. 17–26 (2000)
5.
go back to reference van der Aalst, W.M.P.: Formalization and verification of event-driven process chains. Inf. Soft, Tech., 41(10), 639–650 (1999) van der Aalst, W.M.P.: Formalization and verification of event-driven process chains. Inf. Soft, Tech., 41(10), 639–650 (1999)
6.
go back to reference 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) 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)
7.
go back to reference Zimoch, M., et al.: Cognitive insights into business process model comprehension: preliminary results for experienced and inexperienced individuals. In: Proceedings of the BPMDS 2017, pp. 137–152 (2017)CrossRef Zimoch, M., et al.: Cognitive insights into business process model comprehension: preliminary results for experienced and inexperienced individuals. In: Proceedings of the BPMDS 2017, pp. 137–152 (2017)CrossRef
8.
go back to reference Zimoch, M., et al.: Using insights from cognitive neuroscience to investigate the effects of event-driven process chains on process model comprehension. In: Proceedings of the 1st International Conference on Cognitive Business Process Management, pp. 446–459 (2017)CrossRef Zimoch, M., et al.: Using insights from cognitive neuroscience to investigate the effects of event-driven process chains on process model comprehension. In: Proceedings of the 1st International Conference on Cognitive Business Process Management, pp. 446–459 (2017)CrossRef
9.
go back to reference Zimoch, M., et al.: Eye tracking experiments on process model comprehension: lessons learned. In: Proceedings of the BPMDS 2017, pp. 153–168 (2017)CrossRef Zimoch, M., et al.: Eye tracking experiments on process model comprehension: lessons learned. In: Proceedings of the BPMDS 2017, pp. 153–168 (2017)CrossRef
10.
go back to reference Zugal, S., Pinggera, J., Weber, B.: Assessing process models with cognitive psychology. EMISA 190, 177–182 (2011) Zugal, S., Pinggera, J., Weber, B.: Assessing process models with cognitive psychology. EMISA 190, 177–182 (2011)
11.
go back to reference Paas, F., et al.: Cognitive load measurement as a means to advance cognitive load theory. Educ. Psychol. 38, 63–71 (2003)CrossRef Paas, F., et al.: Cognitive load measurement as a means to advance cognitive load theory. Educ. Psychol. 38, 63–71 (2003)CrossRef
12.
go back to reference Wickens, C.D.: Multiple resources and mental workload. Hum. Factors 50, 449–455 (2008)CrossRef Wickens, C.D.: Multiple resources and mental workload. Hum. Factors 50, 449–455 (2008)CrossRef
13.
go back to reference Paas, F.G., Van Merriënboer, J.J.: The efficiency of instructional conditions: an approach to combine mental effort and performance measures. Hum. Factors 35, 737–743 (1993)CrossRef Paas, F.G., Van Merriënboer, J.J.: The efficiency of instructional conditions: an approach to combine mental effort and performance measures. Hum. Factors 35, 737–743 (1993)CrossRef
14.
go back to reference Krell, M.: Evaluating an instrument to measure mental load and mental effort considering different sources of validity evidence. Cogent Educ. 4, 1280256 (2017) Krell, M.: Evaluating an instrument to measure mental load and mental effort considering different sources of validity evidence. Cogent Educ. 4, 1280256 (2017)
15.
go back to reference Sweller, J.: Cognitive load during problem solving: effects on learning. Cogn. Sci. 12, 257–285 (1988)CrossRef Sweller, J.: Cognitive load during problem solving: effects on learning. Cogn. Sci. 12, 257–285 (1988)CrossRef
16.
go back to reference Ayres, P.: Impact of reducing intrinsic cognitive load on learning in a mathematical domain. Appl. Cogn. Psychol. 20, 287–298 (2006)CrossRef Ayres, P.: Impact of reducing intrinsic cognitive load on learning in a mathematical domain. Appl. Cogn. Psychol. 20, 287–298 (2006)CrossRef
18.
go back to reference van Der Aalst, W.M., et al.: Declarative workflows: balancing between flexibility and support. Comp. Sci-Res. Dev. 23, 99–113 (2009)CrossRef van Der Aalst, W.M., et al.: Declarative workflows: balancing between flexibility and support. Comp. Sci-Res. Dev. 23, 99–113 (2009)CrossRef
20.
go back to reference Kim, C.H., Yim, D.S., Weston, R.: An integrated use of IDEFO, IDEF3 and petri net methods in support of business process modelling. Proc. Inst. Mech. Eng. Part E: J. Process. Mech. Eng. 215(4), 317–329 (2001) Kim, C.H., Yim, D.S., Weston, R.: An integrated use of IDEFO, IDEF3 and petri net methods in support of business process modelling. Proc. Inst. Mech. Eng. Part E: J. Process. Mech. Eng. 215(4), 317–329 (2001)
21.
go back to reference Murata, T.: Petri Nets: properties, analysis and applications. Proc. IEEE 77, 541–580 (1989)CrossRef Murata, T.: Petri Nets: properties, analysis and applications. Proc. IEEE 77, 541–580 (1989)CrossRef
23.
go back to reference Aguilar-Saven, R.S.: Business process modelling: review and framework. Int. J. Prod. Econ. 90, 129–149 (2004)CrossRef Aguilar-Saven, R.S.: Business process modelling: review and framework. Int. J. Prod. Econ. 90, 129–149 (2004)CrossRef
24.
go back to reference White, S.A.: Process modeling notations and workflow patterns. In: Workflow Handbook, pp. 265–294 (2004) White, S.A.: Process modeling notations and workflow patterns. In: Workflow Handbook, pp. 265–294 (2004)
25.
go back to reference Wohlin, C., Runeson, P., Höst, M., Ohlsson, M.C., Regnell, B., Wesslen, A.: Experimentation in Software Engineering - An Introduction. Kluwer, New York (2000)MATH Wohlin, C., Runeson, P., Höst, M., Ohlsson, M.C., Regnell, B., Wesslen, A.: Experimentation in Software Engineering - An Introduction. Kluwer, New York (2000)MATH
26.
go back to reference Kline, P.: Handbook of Psychological Testing, vol. 2. Routledge, Abingdon (1999)CrossRef Kline, P.: Handbook of Psychological Testing, vol. 2. Routledge, Abingdon (1999)CrossRef
27.
go back to reference Sweller, J.: Cognitive load theory, learning difficulty, and instructional design. Learn. Instr. 4, 295–312 (1994)CrossRef Sweller, J.: Cognitive load theory, learning difficulty, and instructional design. Learn. Instr. 4, 295–312 (1994)CrossRef
28.
go back to reference List, B., Korherr, B.: An evaluation of conceptual business process modelling languages. In: Proceedings of the Symposium on Applied Computing (SAC 2006), pp. 1532–1539 (2006) List, B., Korherr, B.: An evaluation of conceptual business process modelling languages. In: Proceedings of the Symposium on Applied Computing (SAC 2006), pp. 1532–1539 (2006)
29.
go back to reference Wang, W., Ding, H., Dong, J., Ren, C.: A comparison of business process modeling methods. In: International Conference on SOLI 2006, pp. 1136–1141 (2006) Wang, W., Ding, H., Dong, J., Ren, C.: A comparison of business process modeling methods. In: International Conference on SOLI 2006, pp. 1136–1141 (2006)
30.
go back to reference Mendling, J., Recker, J., Reijers, H.A., Leopold, H.: An empirical review of the connection between model viewer characteristics and the comprehension of conceptual process models. In: Information Systems Frontiers, pp. 1–25 (2018) Mendling, J., Recker, J., Reijers, H.A., Leopold, H.: An empirical review of the connection between model viewer characteristics and the comprehension of conceptual process models. In: Information Systems Frontiers, pp. 1–25 (2018)
32.
go back to reference Mendling, J., Strembeck, M., Recker, J.: Factors of process model comprehension-findings from a series of experiments. Decis. Support Syst. 53(1), 195–206 (2012)CrossRef Mendling, J., Strembeck, M., Recker, J.: Factors of process model comprehension-findings from a series of experiments. Decis. Support Syst. 53(1), 195–206 (2012)CrossRef
33.
go back to reference Gruhn, V., Laue, R.: Adopting the cognitive complexity measure for business process models. In: 5th International Conference on Cognitive Informatics (ICCI 2006), pp. 236–241 (2006) Gruhn, V., Laue, R.: Adopting the cognitive complexity measure for business process models. In: 5th International Conference on Cognitive Informatics (ICCI 2006), pp. 236–241 (2006)
34.
go back to reference Gruhn, V., Laue, R.: Reducing the cognitive complexity of business process models. In: 8th International Conference on Cognitive Informatics (ICCI 2009), pp. 339–345 (2009) Gruhn, V., Laue, R.: Reducing the cognitive complexity of business process models. In: 8th International Conference on Cognitive Informatics (ICCI 2009), pp. 339–345 (2009)
35.
go back to reference Zugal, S., Pinggera, J., Reijers, H., Reichert, M., Weber, B.: Making the case for measuring mental effort. In: EESSMod 2012 (2012) Zugal, S., Pinggera, J., Reijers, H., Reichert, M., Weber, B.: Making the case for measuring mental effort. In: EESSMod 2012 (2012)
36.
go back to reference Martini, M., et al.: 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) Martini, M., et al.: 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)
Metadata
Title
The Repercussions of Business Process Modeling Notations on Mental Load and Mental Effort
Authors
Michael Zimoch
Rüdiger Pryss
Thomas Probst
Winfried Schlee
Manfred Reichert
Copyright Year
2019
DOI
https://doi.org/10.1007/978-3-030-11641-5_11

Premium Partner