• Benjamin Strobel
  • Steffani Saß
  • Marlit Annalena Lindner
  • Olaf Köller
Research on graph comprehension suggests that point differences are easier to read in bar graphs, while trends are easier to read in line graphs. But are graph readers able to detect and use the most suited graph type for a given task? In this study, we applied a dual repre-sentation paradigm and eye tracking methodology to determine graph readers’ preferential processing of bar and line graphs while solving both point difference and trend tasks. Data were analyzed using linear mixed-effects models. Results show that participants shifted their graph preference depending on the task type and refined their preference over the course of the graph task. Implications for future research are discussed.
Original languageEnglish
JournalJournal of Eye Movement Research
Pages (from-to)1-15
Number of pages15
StatePublished - 04.07.2016

    Research areas

  • Graph comprehension , eye tracking, linear mixed-effects models, diagrams, graph preference

ID: 645506