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Hoop Diagrams: A Set Visualization Method

Rodgers, Peter, Chapman, Peter, Blake, Andrew, Nöllenburg, Martin, Wallinger, Markus, Dobler, Alexander (2024) Hoop Diagrams: A Set Visualization Method. In: Lecture Notes in Computer Science. Diagrammatic Representation and Inference: 14th International Conference, Diagrams 2024. Lecture Notes in Artifical Intelligence , 14981. pp. 377-392. Springer, Switzerland ISBN 978-3-031-71290-6. E-ISBN 978-3-031-71291-3. (doi:10.1007/978-3-031-71291-3_31) (KAR id:107176)

Abstract

We introduce Hoop Diagrams, a new visualization technique for set data. Hoop Diagrams are a circular visualization with hoops representing sets and sectors representing set intersections. We present an interactive tool for drawing Hoop Diagrams and describe a user study comparing them with Linear Diagrams. The results show only small differences, with users answering questions more quickly with Linear Diagrams, but answering some questions more accurately with Hoop Diagrams. Interaction data indicates that those using set order and intersection highlighting were more successful at answering questions, but those who used other interactions had a slower response. The similarity in usability suggests that the diagram type should be chosen based on the presentation method. Linear Diagrams increase in the horizontal direction with the number of intersections, leading to difficulties fitting on a screen. Hoop Diagrams always have a square aspect ratio.

Item Type: Conference or workshop item (Paper)
DOI/Identification number: 10.1007/978-3-031-71291-3_31
Uncontrolled keywords: Hoop Diagrams, Linear Diagrams, Set Visualization
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Institutional Unit: Schools > School of Computing
Former Institutional Unit:
Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Funders: University of Kent (https://ror.org/00xkeyj56)
Depositing User: Peter Rodgers
Date Deposited: 10 Sep 2024 08:34 UTC
Last Modified: 09 Sep 2025 23:00 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/107176 (The current URI for this page, for reference purposes)

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