Dynamic Composite Data Physicalization Using Wheeled Micro-Robots
- Submitting institution
-
City, University of London
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1275
- Type
- D - Journal article
- DOI
-
10.1109/TVCG.2018.2865159
- Title of journal
- IEEE Transactions on Visualization and Computer Graphics
- Article number
- -
- First page
- 737
- Volume
- 25
- Issue
- 1
- ISSN
- 1077-2626
- Open access status
- Compliant
- Month of publication
- August
- 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
-
4
- Research group(s)
-
-
- Citation count
- 6
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Output presents first work to unify ideas in visualisation (INRIA/City) and shape-changing interfaces (Follmer's Shape Lab, Stanford). Presented at IEEE Information Visualization (A* CORE, “flagship conference”), 2018, Berlin - 25% acceptance rate, and Dagstuhl Seminar 19292 on Mobile Data Visualization.
Led to further collaborations, including Le Goc's postdoc at Stanford with Follmer. Referenced and discussed in “Data Physicalization” chapter in Springer Handbook of HCI. Informed CHI’20 Best Paper Honorable Mention “User-defined Swarm Robot Control” (Kim et al., 2020), other papers at ACM CHI / UIST (Suzuki et al. 2019; Batch et al., 2020), and Perin’s NSERC Discovery Grant (CAD 177,000).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
