DOI

  • Falk Böschen
  • Benjamin Strobel
  • Steffen Goos
  • Christoph Liebers
  • Bastian Rathje
  • Ansgar Scherp
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.
Original languageEnglish
DOIs
StatePublished - 07.03.2017
Publication date07.03.2017
Number of pages4
PublisherACM New York, NY, USA

Proceedings

TitleCHIIR '17 Proceedings of the 2017 Conference on Human Information Interaction and Retrieval
Pages337-340

Conference information

TitleConference on Human Information Interaction and Retrieval (CHIIR)
No.2
PlaceOslo, Norway
Date07.03.1711.03.17

    Research areas

  • Methodological research and development - Human-centered computing, Interaction design, Visualization, Empirical studies in interaction design, Empirical studies in visualization, Interactive Bar Charts, Stacking, User Study, Eye-Tracking

ID: 723206