VTechWorks staff will be away for the Thanksgiving holiday beginning at noon on Wednesday, November 27, through Friday, November 29. We will resume normal operations on Monday, December 2. Thank you for your patience.
 

Immersive Analytics: Theory and Research Agenda

Simple item page
dc.contributor.authorSkarbez, Richarden
dc.contributor.authorPolys, Nicholas F.en
dc.contributor.authorOgle, J. Todden
dc.contributor.authorNorth, Christopher L.en
dc.contributor.authorBowman, Douglas A.en
dc.date.accessioned2019-10-24T19:02:07Zen
dc.date.available2019-10-24T19:02:07Zen
dc.date.issued2019-09-10en
dc.description.abstractAdvances in a variety of computing fields, including "big data," machine learning, visualization, and augmented/mixed/virtual reality, have combined to give rise to the emerging field of immersive analytics, which investigates how these new technologies support analysis and decision making. Thus far, we feel that immersive analytics research has been somewhat ad hoc, possibly owing to the fact that there is not yet an organizing framework for immersive analytics research. In this paper, we address this lack by proposing a definition for immersive analytics and identifying some general research areas and specific research questions that will be important for the development of this field. We also present three case studies that, while all being examples of what we would consider immersive analytics, present different challenges, and opportunities. These serve to demonstrate the breadth of immersive analytics and illustrate how the framework proposed in this paper applies to practical research.en
dc.description.notesThis work on Immersive Space to Think was partially funded by the Data and Decisions destination area at Virginia Tech.en
dc.description.sponsorshipData and Decisions destination area at Virginia Techen
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.3389/frobt.2019.00082en
dc.identifier.issn2296-9144en
dc.identifier.other82en
dc.identifier.urihttp://hdl.handle.net/10919/95044en
dc.identifier.volume6en
dc.language.isoenen
dc.publisherFrontiersen
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectimmersive analyticsen
dc.subjectvisual analyticsen
dc.subjectimmersionen
dc.subjectvirtual realityen
dc.subjectvisualizationen
dc.subjectsensemakingen
dc.subjectknowledge generationen
dc.titleImmersive Analytics: Theory and Research Agendaen
dc.title.serialFrontiers in Robotics and AIen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten
dc.type.dcmitypeStillImageen

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
frobt-06-00082.pdf
Size:
2.79 MB
Format:
Adobe Portable Document Format
Description:
Download

Collections

Scholarly Works, Center for Human-Computer Interaction (CHCI)
Destination Area: Data and Decisions (D&D)