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Flex-ER: A platform to evaluate interaction techniques for immersive visualizations / María-Jesús Lobo in Proceedings of the ACM on Human-Computer Interaction, Vol 4 (November 2020)
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Titre : Flex-ER: A platform to evaluate interaction techniques for immersive visualizations Type de document : Article/Communication Auteurs : María-Jesús Lobo , Auteur ; Christophe Hurter, Auteur ; Pourang Polad Irani, Auteur
Année de publication : 2020 Projets : 2-Pas d'info accessible - article non ouvert / Article en page(s) : n° 195 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] environnement de développement
[Termes IGN] format JSON
[Termes IGN] plateforme logicielle
[Termes IGN] visualisation de données
[Termes IGN] vue immersive
[Vedettes matières IGN] GéovisualisationMots-clés libres : Flex-ER Résumé : (auteur) Extended Reality (XR) systems (which encapsulate AR, VR and MR) is an emerging field which enables the development of novel visualization and interaction techniques. To develop and to assess such techniques, researchers and designers have to face choices in terms of which development tools to adopt, and with very little information about how such tools support some of the very basic tasks for information visualization, such as selecting data items, linking and navigating. As a solution, we propose Flex-ER, a flexible web-based environment that enables users to prototype, debug and share experimental conditions and results. Flex-ER enables users to quickly switch between hardware platforms and input modalities by using a JSON specification that supports both defining interaction techniques and tasks at a low cost. We demonstrate the flexibility of the environment through three task design examples: brushing, linking and navigating. A qualitative user study suggest that Flex-ER can be helpful to prototype and explore different interaction techniques for immersive analytics. Numéro de notice : A2020-818 Affiliation des auteurs : UGE-LASTIG+Ext (2020- ) Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1145/3427323 En ligne : https://doi.org/10.1145/3427323 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97091
in Proceedings of the ACM on Human-Computer Interaction > Vol 4 (November 2020) . - n° 195[article]