IEEE VIS 2024 Content: Micro Visualizations on a Smartwatch: Assessing Reading Performance While Walking

Micro Visualizations on a Smartwatch: Assessing Reading Performance While Walking

Fairouz Grioui - University of Stuttgart, Stuttgart, Germany

Tanja Blascheck - University of Stuttgart, Stuttgart, Germany

Lijie Yao - Université Paris-Saclay, CNRS, Orsay, France. Inria, Saclay, France

Petra Isenberg - Université Paris-Saclay, CNRS, Orsay, France. Inria, Saclay, France

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Room: Bayshore VI

2024-10-16T18:48:00ZGMT-0600Change your timezone on the schedule page
2024-10-16T18:48:00Z
Exemplar figure, described by caption below
The watch-face stimulus on top of the teaser image shows an example of the three radial charts of fitness data: calories burned, step count, and distance walked, that we asked participants to compare and estimate the percentage of progress. Below, the figure shows three illustrations of the three walking trajectories: Line, Circular, and Infinity-like and the three walking speeds: 2km/h, 4km/h, and 6km/h that participants performed while reading the visualizations on a smartwatch.
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Keywords

micro and mobile visualization, smartwatch

Abstract

With two studies, we assess how different walking trajectories (straight line, circular, and infinity) and speeds (2 km/h, 4 km/h, and 6 km/h) influence the accuracy and response time of participants reading micro visualizations on a smartwatch. We showed our participants common watch face micro visualizations including date, time, weather information, and four complications showing progress charts of fitness data. Our findings suggest that while walking trajectories did not significantly affect reading performance, overall walking activity, especially at high speeds, hurt reading accuracy and, to some extent, response time.