Disputes in Pie Charts: Pie Chart Properties & Design Variations

Ariana Krbanjevic, Loyola University Chicago

Abstract

Our research will explore the impact of pie chart data representation on users by focusing on assessing users’ cognitive effort and visual attention while employing novel eye-tracking technology. Focusing on two large questions centered around a difference in users’ visual attention and cognitive effort between a pie chart, data representation alternative, and visual properties, participants will be given a series of business tasks and images to solve the tasks. As subjects attempt to solve tasks with provided images, the eye-tracking device will monitor their gaze and capture eye fixation and scan-path derived metrics as indicators of visual attention and effort.

 

Disputes in Pie Charts: Pie Chart Properties & Design Variations

Our research will explore the impact of pie chart data representation on users by focusing on assessing users’ cognitive effort and visual attention while employing novel eye-tracking technology. Focusing on two large questions centered around a difference in users’ visual attention and cognitive effort between a pie chart, data representation alternative, and visual properties, participants will be given a series of business tasks and images to solve the tasks. As subjects attempt to solve tasks with provided images, the eye-tracking device will monitor their gaze and capture eye fixation and scan-path derived metrics as indicators of visual attention and effort.