Using eye tracking to evaluate the usability of flow maps

Weihua Dong, Shengkai Wang, Yizhou Chen, Liqiu Meng

Research output: Contribution to journalArticlepeer-review

34 Scopus citations

Abstract

Flow maps allow users to perceive not only the location where interactions take place, but also the direction and volume of events. Previous studies have proposed numerous methods to produce flow maps. However, how to evaluate the usability of flow maps has not been well documented. In this study, we combined eye-tracking and questionnaire methods to evaluate the usability of flow maps through comparisons between (a) straight lines and curves and (b) line thicknesses and color gradients. The results show that curved flows are more effective than straight flows. Maps with curved flows have more correct answers, fixations, and percentages of fixations in areas of interest. Furthermore, we find that the curved flows require longer finish times but exhibit smaller times to first fixation than straight flows. In addition, we find that using color gradients to indicate the flow volume is significantly more effective than the application of different line thicknesses, which is mainly reflected by the presence of more correct answers in the color-gradient group. These empirical studies could help improve the usability of flow maps employed to visualize geo-data.

Original languageEnglish
Article number281
JournalISPRS International Journal of Geo-Information
Volume7
Issue number7
DOIs
StatePublished - Jul 2018

Keywords

  • Eye tracking
  • Flow map
  • Map usability
  • Visual variables
  • Visualization

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