Exploring interactions with physically dynamic bar charts
- Submitting institution
-
The University of Lancaster
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 156109047
- 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
-
-
- 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)
-
E - Interactive Systems
- 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 about creating new and dynamic ways to visualise digital data in the physical world. It presents an influential dynamic, physical 3D bar chart, which has shaped the thinking of researchers and practitioners as evidenced by its wide citation. This work demonstrated the technical capabilities required for an EPSRC First Grant (£98k) and provides 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 The Conversation.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
