Multi-modal Data Exploration in a Mixed Reality Environment Using Coordinated Multiple Views
| العنوان: | Multi-modal Data Exploration in a Mixed Reality Environment Using Coordinated Multiple Views |
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| المؤلفون: | Denis Gracanin, Kresimir Matkovic, Sampanna Yashwant Kahu, Disha Sardana |
| المصدر: | Human Interface and the Management of Information. Information Presentation and Visualization ISBN: 9783030783204 HCI (4) |
| بيانات النشر: | Springer International Publishing, 2021. |
| سنة النشر: | 2021 |
| مصطلحات موضوعية: | Visual analytics, Human–computer interaction, Computer science, Embodied cognition, Immersive analytics, Multi modal data, Voice command device, Multiple view, Mixed reality, Field (computer science) |
| الوصف: | Immersive analytics is an emerging field of data exploration and analysis in immersive environments. The main idea is to use visual analytics in a fully immersive 3D space. The availability of immersive Extended Reality systems has increased tremendously recently, but it is still not as widely used as conventional 2D displays. We describe an immersive analysis system for spatio-temporal data and compare how it performs in an immersive environment and on a conventional 2D display. We provide a novel view called map-plot that enables analysis and exploration of spatial time series data. We also design an embodied interaction for the map-plot view. The approach is realized based on the coordinated multiple views paradigm. In addition to the map-plot view, several standard views are available. Voice commands and spatial audio are used to support interaction and increase users’ embodiment. The findings from a user study show that developed system is much more efficient in a real immersive environment than using conventional 2D displays. |
| ردمك: | 978-3-030-78320-4 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::9bee42fdf874e7255058a025cda25971 https://doi.org/10.1007/978-3-030-78321-1_26 |
| حقوق: | CLOSED |
| رقم الأكسشن: | edsair.doi...........9bee42fdf874e7255058a025cda25971 |
| قاعدة البيانات: | OpenAIRE |
| ردمك: | 9783030783204 |
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