Eye tracking in multimodal comprehension of graphs

Date

2012-07-31

Author

Acartürk, Cengiz

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Eye tracking methodology has been a major empirical research approach for the study of online comprehension processes in reading and scene viewing. The use of eye tracking methodology for the study of diagrammatic representations, however, has been relatively limited so far. The investigation of specific types of diagrammatic representations, such as statistical graphs is even scarce. In this study, we propose eye tracking as an empirical research approach for a systematic analysis of multimodal comprehension of line graphs. Based on a framework of multimodal comprehension of graphs and texts, which focuses on the role of spatial concepts, we present an experimental investigation of linguistic guidance and eye movement control in comprehension of time-domain line graphs with a particular focus on the analysis of gaze patterns in graph inspections.

Subject Keywords

Eye tracking, Statistical graphs, Line graphs, Multimodal comprehension.

URI

http://ceur-ws.org/Vol-887/
https://hdl.handle.net/11511/76874

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Graduate School of Informatics, Conference / Seminar

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Citation Formats

C. Acartürk, “Eye tracking in multimodal comprehension of graphs,” 2012, vol. 887, Accessed: 00, 2021. [Online]. Available: http://ceur-ws.org/Vol-887/.