The impact of working memory and the “process of process modelling” on model quality: Investigating experienced versus inexperienced modellers

Martini, Markus; Pinggera, Jakob; Neurauter, Manuel; Sachse, Pierre; Furtner, Marco; Weber, Barbara

doi:10.1038/srep25561

Cited by 7 publications

(3 citation statements)

References 61 publications

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“…The empirical assessment of participants' mental effort, while creating or comprehending process models, is demonstrated in [35]. The mental effort needed between inexperienced and experienced modelers to create process models is investigated in [36]. Altogether, there are several works regarding the comparison of process modeling notations.…”

Section: Related Workmentioning

confidence: 99%

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

Zimoch

Pryss

Probst

et al. 2019

Business Process Management Workshops

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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.

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Section: Related Workmentioning

confidence: 99%

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

Zimoch

Pryss

Probst

et al. 2019

Business Process Management Workshops

View full text Add to dashboard Cite

show abstract

“…For example, [24] showed that the presence of prior domain knowledge facilitates the creation of an internal representation of the process to be modeled and is associated with shorter initial comprehension phases. Moreover, Martini et al [25] showed that inexperienced modelers had significantly more comprehension and modeling phases when compared to more experienced modelers. The drawback of relying on detected modeling behavior is, however, its tool dependence (R4).…”

Section: Classifying Modelers: Requirements and Design Considerationsmentioning

confidence: 99%

Who Is Behind the Model? Classifying Modelers Based on Pragmatic Model Features

Burattin

Soffer

Fahland

et al. 2018

Lecture Notes in Computer Science

Self Cite

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Process modeling tools typically aid end users in generic, non-personalized ways. However, it is well conceivable that different types of end users may profit from different types of modeling support. In this paper, we propose an approach based on machine learning that is able to classify modelers regarding their expertise while they are creating a process model. To do so, it takes into account pragmatic features of the model under development. The proposed approach is fully automatic, unobtrusive, tool independent, and based on objective measures. An evaluation based on two data sets resulted in a prediction performance of around 90%. Our results further show that all features can be efficiently calculated, which makes the approach applicable to online settings like adaptive modeling environments. In this way, this work contributes to improving the performance of process modelers.

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“…These works, however, typically focus solely on the final outcome of the act of modeling, without considering the process of creating the process model. Instead, a more recent research field is investigating the process of process modeling (PPM): in this case the emphasis is on the process underlying the creation of process models [5,6,7,8,9,10]. The creation of a process model, starting from a domain description, subsumes the execution of several activities.…”

Section: Introductionmentioning

confidence: 99%

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

Burattin

Kaiser

Neurauter

et al. 2017

Business Process Management Workshops

Self Cite

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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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The impact of working memory and the “process of process modelling” on model quality: Investigating experienced versus inexperienced modellers

Cited by 7 publications

References 61 publications

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

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

Who Is Behind the Model? Classifying Modelers Based on Pragmatic Model Features

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

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