Antipattern comprehension: an empirical evaluation
Hou, T., Chapman, P., & Blake, A. (2016)
Antipattern comprehension: an empirical evaluation. In W. Kuhn, & R. Ferrario (Eds.), 9th International Conference on Formal Ontology in Information Systems (FOIS 2016), (211-224). https://doi.org/10.3233/978-1-61499-660-6-211
Comprehension of justifications is known to be difficult for even experienced ontology engineers, and much more so for other stakeholders. In this paper, we present two method...
Visualizing Sets with Linear Diagrams.
Rodgers, P., Stapleton, G., & Chapman, P. (2015)
Visualizing Sets with Linear Diagrams. ACM transactions on computer-human interaction : a publication of the Association for Computing Machinery, 22(6), 1-39. https://doi.org/10.1145/2810012
This paper presents the first design principles that optimize the visualization of sets using linear diagrams.
These principles are justified through empirical studies that ev...
Measuring perceived clutter in concept diagrams
Hou, T., Chapman, P., & Oliver, I. (2016)
Measuring perceived clutter in concept diagrams. In 2016 IEEE Symposium on Visual Languages and Human-Centric Computinghttps://doi.org/10.1109/vlhcc.2016.7739661
Clutter in a diagram can be broadly defined as how visually complex the diagram is. It may be that different users perceive clutter in different ways, however. Moreover, it ha...
The efficacy of Euler diagrams and linear diagrams for visualizing set cardinality using proportions and numbers
Stapleton, G., Chapman, P., Rodgers, P., Touloumis, A., Blake, A., & Delaney, A. (2019)
The efficacy of Euler diagrams and linear diagrams for visualizing set cardinality using proportions and numbers. PLOS ONE, 14(3), https://doi.org/10.1371/journal.pone.0211234
This paper presents the first empirical investigation that compares Euler and linear diagrams when they are used to represent set cardinality. A common approach is to use area...