Exploration strategies for discovery of interactivity in visualizations
- Submitting institution
-
City, University of London
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1358
- Type
- D - Journal article
- DOI
-
10.1109/TVCG.2018.2802520
- Title of journal
- IEEE Transactions on Visualization and Computer Graphics
- Article number
- -
- First page
- 1407
- Volume
- 25
- Issue
- 2
- ISSN
- 1077-2626
- Open access status
- Not compliant
- Month of publication
- February
- Year of publication
- 2018
- 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
- No
- Number of additional authors
-
6
- Research group(s)
-
-
- Citation count
- 4
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Published in the most important journal in its domain and presented at IEEE VIS (A CORE), Berlin, 2018, world leading visualisation conference (acceptance rate 25%). Funded by: National Energy Board (NEB) of Canada; Alberta Innovates - Technology Futures (AITF); Natural Sciences and Engineering Research Council of Canada (NSERC); SMART Technologies; and German Research Foundation (DFG) within SFB/Transregio 161.Reports on work that resulted in “Innovation Award - Contribution to Innovation in the Regulatory Field, Community of Federal Regulators, Ottawa” for Open Data visualisation for the general public (2016). Reflected on by Walny et al. (2020) in InfoVis 2019 Best Paper.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
