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Assessing Process Attribute Visualization and Interaction Approaches Based on a Controlled Experiment
International Journal of Cooperative Information Systems ( IF 1.5 ) Pub Date : 2020-10-10 , DOI: 10.1142/s0218843020500070
Manuel Gall 1 , Stefanie Rinderle-Ma 2
Affiliation  

Ensuring the smooth and efficient execution of business processes requires a continuous process quality assessment and optimization. Process optimization exploits process attributes and their values, e.g. cost or duration of a process task, in order to derive, for example, control flow adaptations. The complexity of the analysis can range from a few to a plethora of attributes, e.g. machining times and sensor parameters in the manufacturing domain. Hence, it is crucial to support single and multiple users (e.g. process analysts) in visually exploring process attributes and their values. Specifically, comparing and assessing different visualization and interaction approaches with respect to their efficiency is required in order to offer the most suitable approach to users for a specific analysis task. However, such assessments are currently missing. To close this gap, this paper assesses three visualization and interaction approaches, i.e. 2D, 3D, and 3D with virtual reality (VR) support, based on a controlled experiment. We choose the process modeling standard Business Process Modeling and Notation (BPMN) as 2D approach. 3DViz is introduced as 3D approach with focus on attribute representation, and additionally augmented with VR. A statistically significant difference between the approaches can be observed with respect to their efficiency.

中文翻译:

基于受控实验的过程属性可视化和交互方法评估

确保业务流程的顺利和高效执行需要持续的流程质量评估和优化。流程优化利用流程属性及其值,例如流程任务的成本或持续时间,以便获得例如控制流适应。分析的复杂性可以从几个到过多的属性,例如制造领域的加工时间和传感器参数。因此,支持单个和多个用户(例如过程分析员)在视觉上探索过程属性及其值是至关重要的。具体来说,需要比较和评估不同的可视化和交互方法的效率,以便为用户提供最适合特定分析任务的方法。但是,目前缺少此类评估。为了缩小这一差距,本文基于受控实验评估了三种可视化和交互方法,即 2D、3D 和支持虚拟现实 (VR) 的 3D。我们选择流程建模标准 Business Process Modeling and Notation (BPMN) 作为 2D 方法。3DViz 是作为 3D 方法引入的,专注于属性表示,并额外增加了 VR。就其效率而言,可以观察到这些方法之间的统计显着差异。并额外增加了 VR。就其效率而言,可以观察到这些方法之间的统计显着差异。并额外增加了 VR。就其效率而言,可以观察到这些方法之间的统计显着差异。
更新日期:2020-10-10
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