Vipra2024

Permanent URI for this collection

https://diglib.eg.org/handle/10.2312/3607006
Vipra 2024 colocated with EuroVis 2024 - 26th EG Conference on Visualization
Odense, Denmark | May 27, 2024
Table of Contents
Designing and Evaluating a Structural Model for Conformance Checking Visualizations
[full paper Image] [meta data Image]
Finn Klessascheck, Tom Knoche, and Luise Pufahl
Interacting with Large Process Data: Challenges in Visual Exploration
[full paper Image] [meta data Image]
Georgiy Shurkhovetskyy, Pol Schumacher, and Philipp Koytek
Interpretability Challenges for Discovered Process Models: A User Study and Prototype Solution
[full paper Image] [meta data Image]
Ruben Brinkman, Felix Mannhardt, Robin J. P. Mennens, and Roeland J. Scheepens
Review of Visual Encodings in Common Process Mining Tools
[full paper Image] [meta data Image]
Steven Knoblich, Jan Mendling, and Helena Jambor
Visual Journey Analytics: Lessons Learned from Real-world Implementations
[full paper Image] [meta data Image]
Richard Brath, Paul Andersen, Martin Matusiak, and Raymond Gerber

BibTeX (Vipra2024)
@inproceedings{
10.2312:vipra.20242008,

booktitle = {
VIPRA 2024 - Visual Process Analytics Workshop},

editor = {
Arleo, Alessio
 and 
van den Elzen, Stef
 and 
von Landesberger, Tatiana
 and 
Rehse, Jana-Rebecca
 and 
Pufahl, Luise
 and 
Zerbato, Francesca
},
title = {{
Vipra 2024: Frontmatter}},

author = {
van den Elzen, Stef
 and 
von Landesberger, Tatiana
 and 
Rehse, Jana-Rebecca
 and 
Pufahl, Luise
 and 
Zerbato, Francesca
},
year = {
2024},

publisher = {
The Eurographics Association},


ISBN = {978-3-03868-254-7},

DOI = {
10.2312/vipra.20242008}

}
@inproceedings{
10.2312:vipra.20241101,

booktitle = {
VIPRA 2024 - Visual Process Analytics Workshop},

editor = {
Arleo, Alessio
 and 
van den Elzen, Stef
 and 
von Landesberger, Tatiana
 and 
Rehse, Jana-Rebecca
 and 
Pufahl, Luise
 and 
Zerbato, Francesca
},
title = {{
Designing and Evaluating a Structural Model for Conformance Checking Visualizations}},

author = {
Klessascheck, Finn
 and 
Knoche, Tom
 and 
Pufahl, Luise
},
year = {
2024},

publisher = {
The Eurographics Association},


ISBN = {978-3-03868-254-7},

DOI = {
10.2312/vipra.20241101}

}
@inproceedings{
10.2312:vipra.20241102,

booktitle = {
VIPRA 2024 - Visual Process Analytics Workshop},

editor = {
Arleo, Alessio
 and 
van den Elzen, Stef
 and 
von Landesberger, Tatiana
 and 
Rehse, Jana-Rebecca
 and 
Pufahl, Luise
 and 
Zerbato, Francesca
},
title = {{
Interacting with Large Process Data: Challenges in Visual Exploration}},

author = {
Shurkhovetskyy, Georgiy
 and 
Schumacher, Pol
 and 
Koytek, Philipp
},
year = {
2024},

publisher = {
The Eurographics Association},


ISBN = {978-3-03868-254-7},

DOI = {
10.2312/vipra.20241102}

}
@inproceedings{
10.2312:vipra.20241103,

booktitle = {
VIPRA 2024 - Visual Process Analytics Workshop},

editor = {
Arleo, Alessio
 and 
van den Elzen, Stef
 and 
von Landesberger, Tatiana
 and 
Rehse, Jana-Rebecca
 and 
Pufahl, Luise
 and 
Zerbato, Francesca
},
title = {{
Interpretability Challenges for Discovered Process Models: A User Study and Prototype Solution}},

author = {
Brinkman, Ruben
 and 
Mannhardt, Felix
 and 
Mennens, Robin J. P.
 and 
Scheepens, Roeland J.
},
year = {
2024},

publisher = {
The Eurographics Association},


ISBN = {978-3-03868-254-7},

DOI = {
10.2312/vipra.20241103}

}
@inproceedings{
10.2312:vipra.20241104,

booktitle = {
VIPRA 2024 - Visual Process Analytics Workshop},

editor = {
Arleo, Alessio
 and 
van den Elzen, Stef
 and 
von Landesberger, Tatiana
 and 
Rehse, Jana-Rebecca
 and 
Pufahl, Luise
 and 
Zerbato, Francesca
},
title = {{
Review of Visual Encodings in Common Process Mining Tools}},

author = {
Knoblich, Steven
 and 
Mendling, Jan
 and 
Jambor, Helena
},
year = {
2024},

publisher = {
The Eurographics Association},


ISBN = {978-3-03868-254-7},

DOI = {
10.2312/vipra.20241104}

}
@inproceedings{
10.2312:vipra.20241105,

booktitle = {
VIPRA 2024 - Visual Process Analytics Workshop},

editor = {
Arleo, Alessio
 and 
van den Elzen, Stef
 and 
von Landesberger, Tatiana
 and 
Rehse, Jana-Rebecca
 and 
Pufahl, Luise
 and 
Zerbato, Francesca
},
title = {{
Visual Journey Analytics: Lessons Learned from Real-world Implementations}},

author = {
Brath, Richard
 and 
Andersen, Paul
 and 
Matusiak, Martin
 and 
Gerber, Raymond
},
year = {
2024},

publisher = {
The Eurographics Association},


ISBN = {978-3-03868-254-7},

DOI = {
10.2312/vipra.20241105}

}

Browse

Recent Submissions

Now showing 1 - 6 of 6
  • Thumbnail Image
    Item
    Vipra 2024: Frontmatter
    (The Eurographics Association, 2024) van den Elzen, Stef; von Landesberger, Tatiana; Rehse, Jana-Rebecca; Pufahl, Luise; Zerbato, Francesca; Arleo, Alessio; van den Elzen, Stef; von Landesberger, Tatiana; Rehse, Jana-Rebecca; Pufahl, Luise; Zerbato, Francesca
  • 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
    Interpretability Challenges for Discovered Process Models: A User Study and Prototype Solution
    (The Eurographics Association, 2024) Brinkman, Ruben; Mannhardt, Felix; Mennens, Robin J. P.; Scheepens, Roeland J.; Arleo, Alessio; van den Elzen, Stef; von Landesberger, Tatiana; Rehse, Jana-Rebecca; Pufahl, Luise; Zerbato, Francesca
    Process mining discovers process models from an organization's event logs. Discovered process models are used by process analysts to understand and improve real-life processes. Interpretability of such discovered process models by actual users is crucial for efficient and effective usage of models in process analysis. A large body of work, including empirical studies, investigates how users interpret process models and their visualization. However, the focus is on manually created process models for documentation or specification. There is little work on the influence of discovered process models visualization on interpretability by users. Often discovered models are augmented with frequencies and deviations from an event log, which leads to even more complex visualizations. We contribute a user study with 12 participants with varying level of process mining expertise and derive a ranking of 15 issues for interpretability in discovered process model visualizations. We derived five requirements for an improved process model visualization that we, subsequently, implemented in a prototype visualization. A preliminary validation of the prototype among a subset of participants showed promising results and, orthogonal, the identified issues may be useful for future research and work on the interpretability of discovered process models.
  • 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.
  • Thumbnail Image
    Item
    Visual Journey Analytics: Lessons Learned from Real-world Implementations
    (The Eurographics Association, 2024) Brath, Richard; Andersen, Paul; Matusiak, Martin; Gerber, Raymond; Arleo, Alessio; van den Elzen, Stef; von Landesberger, Tatiana; Rehse, Jana-Rebecca; Pufahl, Luise; Zerbato, Francesca
    Process mining and more broadly journey analytics create sequences that can be understood with graph-oriented visual analytics. We have designed and implemented more than a dozen visual analytics on sequence data in production software over the last 20 years. We outline a variety of data challenges, user tasks, visualization layouts, node and edge representations, and interactions, including strengths and weaknesses and potential future research.