Comparing graphs and text: Effects of complexity and task

Graphs are commonly believed to facilitate users’ compre-hension. We explored the effect of graphs on comprehension compared to text, manipulating content complexity (single bar vs. double bar graphs) and question type (point-locating vs. comparison questions). A total 78 college students viewed gra...

Full description

Bibliographic Details
Main Authors: Sunjung Kim, Linda J. Lombardino
Format: Article
Language:English
Published: Bern Open Publishing 2015-10-01
Series:Journal of Eye Movement Research
Subjects:
Online Access:https://bop.unibe.ch/JEMR/article/view/2404
id doaj-31e6fe0eae224f78845183054d3e96d3
record_format Article
spelling doaj-31e6fe0eae224f78845183054d3e96d32021-05-28T13:34:13ZengBern Open PublishingJournal of Eye Movement Research1995-86922015-10-018310.16910/jemr.8.3.2Comparing graphs and text: Effects of complexity and taskSunjung Kim0Linda J. Lombardino1University of Central ArkansasUniversity of FloridaGraphs are commonly believed to facilitate users’ compre-hension. We explored the effect of graphs on comprehension compared to text, manipulating content complexity (single bar vs. double bar graphs) and question type (point-locating vs. comparison questions). A total 78 college students viewed graph and text stimuli and answered comprehension questions while their eye movements were recorded. The results indicate that students do not always process graphs more efficiently than text conveying the same information. Students processed graphs significantly faster than text only when the more complex questions were shown. When the more complex graphic patterns were presented, the advantage of graphs over text became less apparent. The students also spent the majority of their time looking at specific information on the axes and label regions of the graphs with the increasing complexity of graphs and tasks. These findings are discussed related to theories of learning including cognitive load theory and perceptual salience theory.https://bop.unibe.ch/JEMR/article/view/2404graph comprehensiontext comprehensiontask complexityeye tracking
collection DOAJ
language English
format Article
sources DOAJ
author Sunjung Kim
Linda J. Lombardino
spellingShingle Sunjung Kim
Linda J. Lombardino
Comparing graphs and text: Effects of complexity and task
Journal of Eye Movement Research
graph comprehension
text comprehension
task complexity
eye tracking
author_facet Sunjung Kim
Linda J. Lombardino
author_sort Sunjung Kim
title Comparing graphs and text: Effects of complexity and task
title_short Comparing graphs and text: Effects of complexity and task
title_full Comparing graphs and text: Effects of complexity and task
title_fullStr Comparing graphs and text: Effects of complexity and task
title_full_unstemmed Comparing graphs and text: Effects of complexity and task
title_sort comparing graphs and text: effects of complexity and task
publisher Bern Open Publishing
series Journal of Eye Movement Research
issn 1995-8692
publishDate 2015-10-01
description Graphs are commonly believed to facilitate users’ compre-hension. We explored the effect of graphs on comprehension compared to text, manipulating content complexity (single bar vs. double bar graphs) and question type (point-locating vs. comparison questions). A total 78 college students viewed graph and text stimuli and answered comprehension questions while their eye movements were recorded. The results indicate that students do not always process graphs more efficiently than text conveying the same information. Students processed graphs significantly faster than text only when the more complex questions were shown. When the more complex graphic patterns were presented, the advantage of graphs over text became less apparent. The students also spent the majority of their time looking at specific information on the axes and label regions of the graphs with the increasing complexity of graphs and tasks. These findings are discussed related to theories of learning including cognitive load theory and perceptual salience theory.
topic graph comprehension
text comprehension
task complexity
eye tracking
url https://bop.unibe.ch/JEMR/article/view/2404
work_keys_str_mv AT sunjungkim comparinggraphsandtexteffectsofcomplexityandtask
AT lindajlombardino comparinggraphsandtexteffectsofcomplexityandtask
_version_ 1721423661216301056