VROffice
| Autor: | Caroline Lessio Cazarin, Luiz Gonzaga, Pedro Rossa, Rafael Kenji Horota, Lucas Silveira Kupssinskü, Eniuce Menezes de Souza, Carolina Jung Kremer, Mauricio Roberto Veronez, Alysson Soares Aires, Ademir Marques |
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| Rok vydání: | 2019 |
| Předmět: |
Geographic information system
business.industry 020206 networking & telecommunications 02 engineering and technology Virtual reality Visualization 03 medical and health sciences 0302 clinical medicine Data visualization Software User experience design Human–computer interaction 0202 electrical engineering electronic engineering information engineering Virtual office User interface business 030217 neurology & neurosurgery Geology |
| Zdroj: | SIGSPATIAL/GIS |
| DOI: | 10.1145/3347146.3359373 |
| Popis: | In conventional work environments, visualization and integration of correlated data has always been limited by the amount of software windows a regular PC can display. On the other hand, immersive virtual environments present possibilities of interaction that fit scalable and adaptable three-dimensional space, allowing the integration of different types of data, and relating information. This article describes VROffice, an immersive virtual reality office to handle and correlate georeferenced data. VROffice is an immersive and interactive virtual reality office used to handle and correlate georeferenced data, providing access to 2D and 3D elements (i.e rocks, lab samples, organisms) organized as a virtual library. These objects work as data containers ready to store and display data from its location. In the virtual office, data is visualized in a way that allows different forms of interactions, such as observation, free-hand manipulation, inspection of details and object location in a 3D georeferenced space. Users can also organize datasets, perform analysis between different types of objects, combine characteristics, and interpret data in a Geographic Information System (GIS) environment. It enables different forms of interaction with potential to improve insights over observations, instantly turning multivariable datasets into intuitive immersive displays. Different forms of interaction, as well as UI (user interface) and UX (user experience) decisions have been customized to ensure that the experience in using the system is as comfortable as possible. Therefore, in order to demonstrate the possibilities of its use, case studies were created in two different fields of knowledge, geology and biology, which have georeferenced data available. |
| Databáze: | OpenAIRE |
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