Issue No. 04 - April (2011 vol. 17)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TVCG.2010.78
Daniel Archambault , UCD Casl, Dublin
Helen C. Purchase , University of Glasgow, Glasgow
Bruno Pinaud , LaBRI UMR CNRS, Talence
In this paper, we present the results of a human-computer interaction experiment that compared the performance of the animation of dynamic graphs to the presentation of small multiples and the effect that mental map preservation had on the two conditions. Questions used in the experiment were selected to test both local and global properties of graph evolution over time. The data sets used in this experiment were derived from standard benchmark data sets of the information visualization community. We found that small multiples gave significantly faster performance than animation overall and for each of our five graph comprehension tasks. In addition, small multiples had significantly more errors than animation for the tasks of determining sets of nodes or edges added to the graph during the same timeslice, although a positive time-error correlation coefficient suggests that, in this case, faster responses did not lead to more errors. This result suggests that, for these two tasks, animation is preferable if accuracy is more important than speed. Preserving the mental map under either the animation or the small multiples condition had little influence in terms of error rate and response time.
Dynamic graph drawing, small multiples, animation, mental map preservation, evaluation.
D. Archambault, H. C. Purchase and B. Pinaud, "Animation, Small Multiples, and the Effect of Mental Map Preservation in Dynamic Graphs," in IEEE Transactions on Visualization & Computer Graphics, vol. 17, no. , pp. 539-552, 2010.