Visualizing information on watch faces: A survey with smartwatch users

September 01, 2020 ยท The Cartographer ยท ๐Ÿ› Visual ..

๐Ÿ“š THE CARTOGRAPHER: The Cartographer
Survey/review paper โ€” maps the landscape rather than implementing a method.

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"Title-pattern auto-detect: Visualizing information on watch faces: A survey with smartwatch users"

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Authors Alaul Islam, Anastasia Bezerianos, Bongshin Lee, Tanja Blascheck, Petra Isenberg arXiv ID 2009.00750 Category cs.HC: Human-Computer Interaction Citations 44 Venue Visual .. Last Checked 2 days ago
Abstract
People increasingly wear smartwatches that can track a wide variety of data. However, it is currently unknown which data people consume and how it is visualized. To better ground research on smartwatch visualization, it is important to understand the current use of these representation types on smartwatches, and to identify missed visualization opportunities. We present the findings of a survey with 237 smartwatch wearers, and assess the types of data and representations commonly displayed on watch faces. We found a predominant display of health & fitness data, with icons accompanied by text being the most frequent representation type. Combining these results with a further analysis of online searches of watch faces and the data tracked on smartwatches that are not commonly visualized, we discuss opportunities for visualization research.
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