How people visually represent discrete constraint problems
- Submitting institution
-
University of St Andrews
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 258221984
- Type
- D - Journal article
- DOI
-
10.1109/TVCG.2019.2895085
- Title of journal
- IEEE Transactions on Visualization and Computer Graphics
- Article number
- -
- First page
- 2603
- Volume
- 26
- Issue
- 8
- ISSN
- 1077-2626
- Open access status
- Compliant
- Month of publication
- January
- Year of publication
- 2019
- 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
-
3
- Research group(s)
-
A - Artificial Intelligence
- Citation count
- 11
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Constraint programming is generally divided into two phases: modelling and solving. There are several modelling languages for CP, but typically their design is not informed by how people represent these problems. This paper presents the first large user study into understanding how people approach representing problems naturally. It inspired follow-up research into how software systems can be designed that make use of the findings of this paper.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
