Evaluation of the comprehensiveness of bar charts with and without stacking functionality using eye-tracking
Conference contribution (Article) › Research
Publication data
| By | Falk Böschen, Benjamin Strobel, Steffen Goos, Christoph Liebers, Bastian Rathje, Ansgar Scherp |
| Original language | English |
| Published in | CHIIR '17 Proceedings of the 2017 Conference on Human Information Interaction and Retrieval |
| Pages | 337-340 |
| Editor (Publisher) | Association for Computing Machinery |
| ISBN | 978-1-4503-4677-1 |
| DOI/Link | https://doi.org/10.1145/3020165.3022147 |
| Publication status | Published – 03.2017 |
| Keywords | Stacking, Interaction design, Empirical studies in visualization, Human-centered computing, Interactive Bar Charts, User Study, Visualization, Empirical studies in interaction design, Eye-Tracking |
Bar charts are widely used to visualize core results of experiments in research papers or display statistics in news, media, and other reports. However, visualizations like bar charts are mostly manually designed, static presentations of data without the option of adaption to a user's needs. But so far, it is unknown whether interactivity improves the understanding of charts. In this work, we compare static with dynamic bar charts, which offer an interactive stacking option. We assess the efficiency, effectiveness, and satisfaction when answering questions regarding the content of a bar chart. An eye-tracker is used to measure the efficiency. We have conducted a between group experiment with 38 participants. While one group had to solve the aggregation tasks using stackable, i.e., interactive bar charts, the other group was limited to static visualizations. Even though new interactive features require familiarization, we found that the stacking feature significantly helps completing the tasks with respect to efficiency, effectiveness, and satisfaction for bar charts of varying complexity.
