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.
OriginalspracheEnglisch
DOIs
ZustandVeröffentlicht - 07.03.2017
Erscheinungsdatum07.03.2017
Seitenumfang4
Herausgeber (Verlag)ACM New York, NY, USA

Verfahren

TitelCHIIR '17 Proceedings of the 2017 Conference on Human Information Interaction and Retrieval
Seiten337-340

Konferenzinformationen

TitelConference on Human Information Interaction and Retrieval (CHIIR)
Nr.2
OrtOslo, Norwegen
Datum07.03.1711.03.17

    Fachgebiete

  • Methodenforschung und -entwicklung

ID: 723206