Vipra2024

Permanent URI for this collection

https://diglib.eg.org/handle/10.2312/3607006

Browse

Browsing Vipra2024 by Subject "Human centered computing → Visual analytics"

Now showing 1 - 3 of 3
  • Thumbnail Image
    Item
    Designing and Evaluating a Structural Model for Conformance Checking Visualizations
    (The Eurographics Association, 2024) Klessascheck, Finn; Knoche, Tom; Pufahl, Luise; Arleo, Alessio; van den Elzen, Stef; von Landesberger, Tatiana; Rehse, Jana-Rebecca; Pufahl, Luise; Zerbato, Francesca
    Conformance checking is one of the main operations of process mining with which enterprises can analyse their business processes and consider whether their behaviour follows the desired one, or whether and where it deviates. In order to meaningfully present the results of this family of techniques, an appropriate and accessible visual interaction platform is necessary. However, existing work has focussed primarily on technical aspects, and less on user concerns. To this end, we combine visual analytics concepts with conformance checking. We derive a structural model from literature, which summarizes conformance checking applications, and helps in deriving descriptive models for concrete analyses. We implement our concept prototypically, and evaluate it in a user study, thereby showing the structural model's ability to help in creating accessible and appropriate visualizations for conformance checking.
  • Thumbnail Image
    Item
    Interacting with Large Process Data: Challenges in Visual Exploration
    (The Eurographics Association, 2024) Shurkhovetskyy, Georgiy; Schumacher, Pol; Koytek, Philipp; Arleo, Alessio; van den Elzen, Stef; von Landesberger, Tatiana; Rehse, Jana-Rebecca; Pufahl, Luise; Zerbato, Francesca
    Information systems across various industries become more common every year. Organizations aim to leverage data collected by such systems to gain useful knowledge and, ultimately, improve their business processes. Process analysis is often facilitated by visual analytics enriched with interactions. However, a systematic evaluation of applicability and implication of use of known interaction techniques to process mining tasks is missing. In this paper, we provide an overview of interaction methods used at Celonis and propose their initial categorization in the context of process mining. We then describe further challenges of interactive visualizations for process analysis from an industry perspective. Finally, we offer directions for future user studies and research to further strengthen the combination of process mining with visual analytics.
  • Thumbnail Image
    Item
    Review of Visual Encodings in Common Process Mining Tools
    (The Eurographics Association, 2024) Knoblich, Steven; Mendling, Jan; Jambor, Helena; Arleo, Alessio; van den Elzen, Stef; von Landesberger, Tatiana; Rehse, Jana-Rebecca; Pufahl, Luise; Zerbato, Francesca
    Process mining tools empower process analysts to scrutinize business processes by leveraging algorithmic techniques and event log datasets. To support the analysis of inefficiencies of business processes, different types of visualization techniques have been introduced for process mining. These techniques enhance process models by incorporating performance data, for instance to highlight activity duration by using gradational color palettes, and by mapping statistical parameters as text notes directly into the model. So far, tool vendors have designed a diverse spectrum of visual features for enhancing models, but research has not systematically provided insights into their mutual effectiveness. In this paper, we review the visualizations of six common business process mining tools. To account for the variability in the visual display, we expanded existing taxonomies for evaluating event sequences with marks and channels as well as accessibility dimensions, each important for end-user comprehension. Then, we performed an expert survey to assess the legibility of the visualizations to test the validity of our expanded taxonomy. In this way, we demonstrate the potential for improving process mining visualizations to expand its value in today's process mining tools.