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| Content Provider | ACM Digital Library |
|---|---|
| Author | Scherp, Ansgar Goos, Steffen Liebers, Christoph Rathje, Bastian Böschen, Falk Strobel, Benjamin |
| Abstract | 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. |
| Starting Page | 337 |
| Ending Page | 340 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781450346771 |
| DOI | 10.1145/3020165.3022147 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2017-03-07 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Stacking Eye-tracking User study Interactive bar charts |
| Content Type | Text |
| Resource Type | Article |
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