Stapleton, Gem, Rodgers, Peter, Touloumis, Anestis, Blake, Andrew (2020) Well-matchedness in Euler and Linear Diagrams. In: Lecture Notes in Computer Science. Diagrammatic Representation and Inference: 11th International Conference, Diagrams 2020, Tallinn, Estonia, August 24–28, 2020, Proceedings. 12169. Springer ISBN 978-3-030-54248-1. (doi:10.1007/978-3-030-54249-8_20) (KAR id:81488)
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| Official URL: https://doi.org/10.1007/978-3-030-54249-8_20 |
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Abstract
A key feature of diagrams is well-matchedness, referred to as iconicity in philosophy. A well-matched diagram has a structural resemblance to its semantics and is believed to be an effective representation. In this paper, we view well-matchedness as a feature of diagrams' meaning carriers { syntactic relationships that convey meaning. Each meaning carrier may or may not structurally resemble, i.e. be well-matched to, its semantics. This paper provides the first empirical study that evaluates the impact of well-matched meaning carriers on effectiveness in Euler diagrams and linear diagrams. There are two key take-away messages: using only well-matched meaning carriers led to the best task performance and using both well-matched and non-well-matched meaning carriers in a single diagram should be approached with caution.
| Item Type: | Conference or workshop item (Proceeding) |
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| DOI/Identification number: | 10.1007/978-3-030-54249-8_20 |
| Uncontrolled keywords: | Well-matched, Iconicity, Diagrams, Visualization, Sets |
| 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
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| Depositing User: | Peter Rodgers |
| Date Deposited: | 02 Jun 2020 06:52 UTC |
| Last Modified: | 22 Jul 2025 09:02 UTC |
| Resource URI: | https://kar.kent.ac.uk/id/eprint/81488 (The current URI for this page, for reference purposes) |
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https://orcid.org/0000-0002-4100-3596
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