Which aesthetic has the greatest effect on human understanding?

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Abstract

In the creation of graph drawing algorithms and systems, designers claim that by producing layouts that optimise certain aesthetic qualities, the graphs are easier to understand. Such aesthetics include maximise symmetry, minimise edge crosses and minimise bends. A previous study aimed to validate these claims with respect to three aesthetics, using paper-based experiments [11]. The study reported here is superior in many ways: five aesthetics are considered, attempts are made to place a priority order on the relative importance of the aesthetics, the experiments are run on-line, and the ease of understanding the drawings is measured in time, as well as in the number of errors. In addition, greater consideration is given to the possible effect of confounding factors in the graph drawings. The results indicate that reducing the number of edge crosses is by far the most important aesthetic, while minimising the number of bends and maximising symmetry have a lesser effect. The effects of maximising the minimum angle between edges leaving a node and of fixing edges and nodes to an orthogonal grid are not statistically significant. This work is important since it helps to demonstrate to algorithm and system designers the aesthetic qualities most important for aiding human understanding, the most appropriate compromises to make when there is a conflict in aesthetics, and consequently, how to build more effective systems.

Original languageEnglish
Title of host publicationGraph Drawing - 5th International Symposium, GD 1997, Proceedings
EditorsGiuseppe DiBattista
PublisherSpringer-Verlag London Ltd.
Pages248-261
Number of pages14
ISBN (Print)9783540639381
DOIs
Publication statusPublished - 1997
Externally publishedYes
EventGraph Drawing 1997 - Rome, Italy
Duration: 18 Sept 199720 Sept 1997
Conference number: 5th
https://dl.acm.org/doi/proceedings/10.5555/647549 (Proceedings)

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1353
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceGraph Drawing 1997
Abbreviated titleGD 1997
Country/TerritoryItaly
CityRome
Period18/09/9720/09/97
Internet address

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