Work

Micro Visualizations on a Smartwatch: Assessing Reading Performance While Walking

Year: 2024

Type: conference-paper

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. Supplemental material is available at: https://osf.io/u78s6/.

Source: IEEE Visualization and Visual Analytics (VIS)

DOI: 10.1109/vis55277.2024.00017

Authors: Fairouz Grioui, Tanja Blascheck, Lijie Yao, Petra Isenberg

Institutions: University of Stuttgart, Centre National de la Recherche Scientifique, Institut national de recherche en sciences et technologies du numérique, Université Paris-Saclay, Laboratoire Interdisciplinaire des Sciences du Numérique

Language: English

Topic: Interactive and Immersive Displays

Subfield: Human-Computer Interaction

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: Deutsche Forschungsgemeinschaft, Agence Nationale de la Recherche, European Social Fund