Weather Data and Representations: A Survey of Wear OS Apps

dc.contributor.authorRohwer, Jakoben_US
dc.contributor.authorGrioui, Fairouzen_US
dc.contributor.authorBlascheck, Tanjaen_US
dc.contributor.editorKucher, Kostiantynen_US
dc.contributor.editorDiehl, Alexandraen_US
dc.contributor.editorGillmann, Christinaen_US
dc.date.accessioned2024-05-21T08:46:07Z
dc.date.available2024-05-21T08:46:07Z
dc.date.issued2024
dc.description.abstractIn this poster, we inspect common weather applications developed for Android Wear OS Smartwatches. Our goal is to learn (1) which type of weather data is commonly depicted in weather applications, (2) how this data is represented, and (3) how smartwatch wearers can interact with these applications. Based on this survey, we plan to develop glanceable weather visualizations that contain appropriate interactions. The current state of weather applications depicts a large number (15) of different weather data types; however, few use visual representations like bar charts (1), radial bar charts (2), or maps (4).en_US
dc.description.sectionheadersPosters
dc.description.seriesinformationEuroVis 2024 - Posters
dc.identifier.doi10.2312/evp.20241098
dc.identifier.isbn978-3-03868-258-5
dc.identifier.pages3 pages
dc.identifier.urihttps://doi.org/10.2312/evp.20241098
dc.identifier.urihttps://diglib.eg.org/handle/10.2312/evp20241098
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Human-centered computing → Empirical studies in visualization; Ubiquitous and mobile devices
dc.subjectHuman centered computing → Empirical studies in visualization
dc.subjectUbiquitous and mobile devices
dc.titleWeather Data and Representations: A Survey of Wear OS Appsen_US
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