The perception of graph properties in graph layouts
- Submitting institution
-
University of Glasgow
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 11-03170
- Type
- E - Conference contribution
- DOI
-
10.1111/cgf.13410
- Title of conference / published proceedings
- 20th IEEE Eurographics Conference on Visualization (EuroVis), 2018
- First page
- 169
- Volume
- 37
- Issue
- 3
- ISSN
- 0167-7055
- Open access status
- Technical exception
- Month of publication
- June
- Year of publication
- 2018
- URL
-
http://eprints.gla.ac.uk/164380/
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
5
- Research group(s)
-
-
- Citation count
- 5
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- ORIGINALITY: The first detailed collection of large-scale empirical data (over 500 participants, over 50,000 data points) on human perception of graph properties with respect to graph layout. Categorized layout algorithm quality using a novel methodology that demonstrates how such algorithms can be compared and selected according to user task and context. RIGOUR: A psychophysical experimental method, novel to HCI, was used to gather 'just noticeable difference' results related to Weber's law, defining the precision of human perception of graph properties. SIGNIFICANCE: Presented at EuroVis, premier international Information Visualisation conference (acceptance 29%) and published in a prestigious graphics journal.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
