Instructional Comics for Self‐Paced Learning of Data Visualization Tools and Concepts

Abstract In this paper, we introduce instructional comics to explain concepts and routines in data visualization tools. As tools for visual data exploration proliferate, there is a growing need for tailored training and onboarding demonstrating interfaces, concepts, and interactions. Building on recent research in visualization education, we detail our iterative process of designing instructional comics for four different types of instructional content. Through a mixed‐method eye‐tracking study involving 20 participants, we analyze how people engage with these comics when using a new visualization tool, and validate our design choices. We interpret observed behaviors as unique affordances of instructional comics, supporting their use during tasks and complementing traditional instructional methods like video tutorials and workshops, and formulate six guidelines to inform the design of future instructional comics for visualization.

Authors

Institutions

Publication Details

Journal
Computer Graphics Forum
Published
2025-05-23
DOI
https://doi.org/10.1111/cgf.70130
Primary Topic
Data Visualization and Analytics
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Instructional Comics for Self‐Paced Learning of Data Visualization Tools and Concepts

Wolfgang Aigner, Mashael AlKadi, Magdalena Boucher, Benjamin Bach
Computer Graphics Forum
Data Visualization and Analytics
article

Instructional Comics for Self‐Paced Learning of Data Visualization Tools and Concepts

Wolfgang Aigner, Mashael AlKadi, Magdalena Boucher, Benjamin Bach
article en

Abstract

Abstract In this paper, we introduce instructional comics to explain concepts and routines in data visualization tools. As tools for visual data exploration proliferate, there is a growing need for tailored training and onboarding demonstrating interfaces, concepts, and interactions. Building on recent research in visualization education, we detail our iterative process of designing instructional comics for four different types of instructional content. Through a mixed‐method eye‐tracking study involving 20 participants, we analyze how people engage with these comics when using a new visualization tool, and validate our design choices. We interpret observed behaviors as unique affordances of instructional comics, supporting their use during tasks and complementing traditional instructional methods like video tutorials and workshops, and formulate six guidelines to inform the design of future instructional comics for visualization.

Computer Graphics ForumVol. 44(3)
Institut national de recherche en sciences et technologies du numérique (FR), TU Wien (AT), University of Applied Sciences St Pölten (AT), Edinburgh College (GB), University of Edinburgh (GB)
Österreichische Nationalstiftung für Forschung, Technologie und Entwicklung, Austrian Science Fund, Christian Doppler Forschungsgesellschaft
Openalex Percentile: Top 90%
Data Visualization and Analytics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.