Evaluating the Impact of Clutter in Euler Diagrams.
Alqadah, M., Stapleton, G., Howse, J., & Chapman, P. (2014)
Evaluating the Impact of Clutter in Euler Diagrams. In Diagrammatic Representation and Inference: 8th International Conference, Diagrams 2014, Melbourne, VIC, Australia, July 28 – August 1, 2014. Proceedings, (108-122). https://doi.org/10.1007/978-3-662-44043-8_15
Euler diagrams, used to visualize data and as a basis for visual languages, are an effective representation of information, but they can become cluttered. Previous research es...
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...
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...
Visualizing Sets: An Empirical Comparison of Diagram Types.
Chapman, P., Stapleton, G., Rodgers, P., Micallef, L., & Blake, A. (2014)
Visualizing Sets: An Empirical Comparison of Diagram Types. In Diagrammatic Representation and Inference. , (146-160). https://doi.org/10.1007/978-3-662-44043-8_18
There are a range of diagram types that can be used to visualize
sets. However, there is a significant lack of insight into which is the
most effective visualization. To addre...