Exploring interactions with physically dynamic bar charts
- Submitting institution
-
The University of Bath
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 213132721
- Type
- E - Conference contribution
- DOI
-
10.1145/2702123.2702604
- Title of conference / published proceedings
- CHI '15 Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems
- First page
- 3237
- Volume
- -
- Issue
- -
- ISSN
- -
- Open access status
- -
- Month of publication
- April
- Year of publication
- 2015
- URL
-
-
- Supplementary information
-
https://dl.acm.org/action/downloadSupplement?doi=10.1145%2F2702123.2702604&file=p3237-taher.mp4&download=true
- 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
- 44
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper is at the forefront of thinking in data physicalization, the physical analogy to data visualisation. It presents an influential interactive, dynamic, physical 3D bar chart, that has shaped the thinking of researchers and practitioners as evidenced by its wide citation. This work demonstrated the technical capabilities and seminal understanding that drove the funding of a European Research Council (ERC) Starting Grant (€1.4million). The research was widely publicised across international media outlets including the BBC, Reuters, and in The Conversation.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -