SIG HIC - Human Computer Interaction
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Paper Type
ERF
Paper Number
1470
Description
This research explores the impact of pie chart data representation on users by focusing on assessing users’ performance, cognitive effort, and visual attention while employing novel eye tracking technology. This research focused on two large questions centered around a difference in users’ visual attention, performance, and cognitive effort between pie chart visual properties and design variations. Two experiments were conducted with 30 participants each. Experiments found there was a variation in performance (accuracy error and time) and effort (fixation count and duration) across pie chart visual properties. Furthermore, experiments confirmed the effectiveness of pie charts over tested alternatives (3D and donut chart).
Recommended Citation
Krbanjevic, Ariana and Bacic, Dinko, "Exploring Pie Chart Visual Properties and Design Elements: Eye-Tracking Approach" (2022). AMCIS 2022 Proceedings. 5.
https://aisel.aisnet.org/amcis2022/sig_hci/sig_hci/5
Exploring Pie Chart Visual Properties and Design Elements: Eye-Tracking Approach
This research explores the impact of pie chart data representation on users by focusing on assessing users’ performance, cognitive effort, and visual attention while employing novel eye tracking technology. This research focused on two large questions centered around a difference in users’ visual attention, performance, and cognitive effort between pie chart visual properties and design variations. Two experiments were conducted with 30 participants each. Experiments found there was a variation in performance (accuracy error and time) and effort (fixation count and duration) across pie chart visual properties. Furthermore, experiments confirmed the effectiveness of pie charts over tested alternatives (3D and donut chart).
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