posted on 2023-05-18, 14:06authored byHuang, W, Huang, ML, Lin, C-C
Aesthetics are often used to measure the layout quality of graph drawings and it is commonly accepted that drawings with good layout are effective in conveying the embedded data information to end users. However, existing aesthetic criteria are useful only in judging the extents to which a drawing conforms to specific drawing rules. They have limitations in evaluating overall quality. Currently graph visualizations are mainly evaluated based on personal judgments and user studies for their overall quality. Personal judgments are not reliable while user studies can be costly to run. Therefore, there is a need for a direct measure of overall quality. In an attempt to meet this need, we propose a measurement that measures overall quality based on individual aesthetics and gives a single numerical score. We present a user study that validates this measure by demonstrating its sensibility in detecting quality changes and its capacity in predicting the performance of human graph comprehension. The implications of our proposed measure for future research are discussed.
History
Publication title
Information Sciences
Volume
330
Pagination
444-454
ISSN
0020-0255
Department/School
School of Information and Communication Technology
Publisher
Elsevier Science Inc
Place of publication
360 Park Ave South, New York, USA, Ny, 10010-1710
Rights statement
Copyright 2015 Elsevier Inc
Repository Status
Open
Socio-economic Objectives
Expanding knowledge in the information and computing sciences