An Eye Tracking Study on the Effects of Dark and Light Themes on User Performance and Workload

Tobias Julien Ettling

Kenan Bektaş

Dominik Steinmann

Amine Abbad-Andaloussi

The visual theme of a dashboard, whether light or dark, is a prominent design choice with potential implications for user experience. This research investigates the effect of visual theme on user performance and workload during decision-making tasks on dashboards. In a within-subjects experiment, we measured the effect of dark and light themes and task complexity (easy, medium and hard), on task completion time, accuracy, confidence, fixation counts, pupil dilation, and workload. The dark mode improves accuracy, confidence, and average fixation count for medium task complexity levels, suggesting its utility in specific scenarios. In dark mode, the relative pupil dilation was higher, but the perceived workload was lower than in light mode. These findings highlight the need to study the interrelation between objective workload measurements and subjective questionnaires. This study advances empirical foundation for theme selection in data-driven interfaces of varying complexity.

This publication uses Eye Tracking and Eye Tracking Screen Based which is fully integrated into iMotions Lab

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