The design and evaluation of interfaces for navigating gigapixel images in digital pathology
- Submitting institution
-
The University of Leeds
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- UOA11-1185
- Type
- D - Journal article
- DOI
-
10.1145/2834117
- Title of journal
- ACM Transactions on Computer-Human Interaction
- Article number
- 5
- First page
- -
- Volume
- 23
- Issue
- 1
- ISSN
- 1073-0516
- Open access status
- Out of scope for open access requirements
- Month of publication
- January
- Year of publication
- 2016
- URL
-
-
- 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
- Yes
- Number of additional authors
-
4
- Research group(s)
-
D - CSE (Computational Science and Engineering)
- Citation count
- 5
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper won the journal’s 2016 Best Paper Award and, quoting the Editor, “stands out because it puts into practice—and challenges—accepted design principles.” Our interface is effective even when the overview+detail scale is 1:1704, exceeding existing guidelines (1:30) and Google Maps (1:33) by a factor of more than 50. The evaluation is outstanding because the datasets were up to 3150 times larger than previous research, and involved experts performing real work rather than general participants performing simplified tasks. As the Editor concludes, the paper should inspire efforts “to improve interfaces for navigation through large visualizations and scientific data-sets.”
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
