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Visual Justifications for Ontologies

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Antipattern comprehension: an empirical evaluation (2016)
Conference Proceeding
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 methods for displaying justifications using concept diagrams: using multiple conc... Read More about Antipattern comprehension: an empirical evaluation.

Measuring perceived clutter in concept diagrams (2016)
Conference Proceeding
Hou, T., Chapman, P., & Oliver, I. (2016). Measuring perceived clutter in concept diagrams. In 2016 IEEE Symposium on Visual Languages and Human-Centric Computing. https://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 has been shown that, for certain types of diagrams and tasks, an increase in... Read More about Measuring perceived clutter in concept diagrams.

Evaluating the Impact of Clutter in Euler Diagrams. (2014)
Conference Proceeding
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 established a measure of Euler diagram clutter, empirically shown to correspo... Read More about Evaluating the Impact of Clutter in Euler Diagrams..

Visualizing Sets: An Empirical Comparison of Diagram Types. (2014)
Conference Proceeding
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 address this knowledge gap, this paper empirically evaluates four diagram type... Read More about Visualizing Sets: An Empirical Comparison of Diagram Types..

Visualizing Sets with Linear Diagrams. (2015)
Journal Article
Rodgers, P., Stapleton, G., & Chapman, P. (2015). Visualizing Sets with Linear Diagrams. ACM transactions on computer-human interaction, 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 evaluate the impact of graphical features on task performance. Linear diagr... Read More about Visualizing Sets with Linear Diagrams..