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dc.contributor.authorEns, Barrett
dc.contributor.authorBach, Benjamin
dc.contributor.authorCordeil, Maxime
dc.contributor.authorEngelke, Ulrich
dc.contributor.authorSerrano, Marcos
dc.contributor.authorWillett, Wesley
dc.contributor.authorProuzeau, Arnaud
dc.contributor.authorAnthes, Christoph
dc.contributor.authorBüschel, Wolfgang
dc.contributor.authorDunne, Cody
dc.contributor.authorDwyer, Tim
dc.contributor.authorGrubert, Jens
dc.contributor.authorHaga, Jason H.
dc.contributor.authorKirschenbaum, Nurit
dc.contributor.authorKobayashi, Dylan
dc.contributor.authorLin, Tica
dc.contributor.authorOlaosebikan, Monsurat
dc.contributor.authorPointecker, Fabian
dc.contributor.authorSaffo, David
dc.contributor.authorSaquib, Nazmus
dc.contributor.authorSchmalsteig, Dieter
dc.contributor.authorSzafir, Danielle Albers
dc.contributor.authorWhitlock, Matthew
dc.contributor.authorYang, Yalong
dc.date.accessioned2021-01-20T19:33:23Z
dc.date.available2021-01-20T19:33:23Z
dc.date.issued2021-05-08
dc.identifier.citationEns, Barrett, Bach, B., Cordeil, M., Engelke, U., Serrano, M., Willett, W. J., Prouzeau, A., Anthes, C., Büschel, W., Dunne, C., Dwyer, T., Grubert, J., Haga, J. H., Kirshenbaum, N., Kobayashi, D., Lin, T., Olaosebikan, M., Pointecker, F., Saffo, D., ... Yang, Y. (2021). Grand Challenges in Immersive Analytics. In "CHI Conference on Human Factors in Computing Systems (CHI’21), May 8–13, 2021, Yokohama, Japan". ACM, New York, NY, USA, 1-17 pp. https://doi.org/10.1145/3411764.3446866en_US
dc.identifier.urihttp://hdl.handle.net/1880/112984
dc.description.abstractImmersive Analytics is a quickly evolving field that unites several areas such as visualisation, immersive environments, and human-computer interaction to support human data analysis with emerging technologies. This research has thrived over the past years with multiple workshops, seminars, and a growing body of publications, spanning several conferences. Given the rapid advancement of interaction technologies and novel application domains, this paper aims toward a broader research agenda to enable widespread adoption. We present 17 key research challenges developed over multiple sessions by a diverse group of 24 international experts, initiated from a virtual scientific workshop at ACM CHI 2020. These challenges aim to coordinate future work by providing a systematic roadmap of current directions and impending hurdles to facilitate productive and effective applications for Immersive Analytics.en_US
dc.language.isoengen_US
dc.publisherACM : New York, New Yorken_US
dc.rightsUnless otherwise indicated, this material is protected by copyright and has been made available with authorization from the copyright owner. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.en_US
dc.subjectImmersive Analyticsen_US
dc.subjectGrand Research Challengesen_US
dc.subjectData Visualisationen_US
dc.subjectAugmented Realityen_US
dc.subjectVirtual Realityen_US
dc.titleGrand Challenges in Immersive Analyticsen_US
dc.typeconference paperen_US
dc.publisher.facultyScienceen_US
dc.description.grantingagencyOtheren_US
dc.identifier.grantnumberThe authors in this paper are partially supported by the following grants: ANR JCJC PERFIN grant (ANR-18-CE33-0009); the Canada Research Chairs Program; Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strategy – EXC-2068 – 390729961 – Cluster of Excellence Physics of Life of TU Dresden; NSF 1764092; Australian Research Council Discovery Projects funding scheme DP18010075; and a Harvard Physical Sciences and Engineering Accelerator Award.en_US
dc.publisher.institutionMonash Universityen_US
dc.publisher.institutionUniversity of Calgaryen_US
dc.publisher.institutionUniversity of Edinburghen_US
dc.publisher.institutionCSIRO Data61en_US
dc.publisher.institutionUniversity of Toulouseen_US
dc.publisher.institutionInriaen_US
dc.publisher.institutionUniversity of Applied Sciences, Upper Austriaen_US
dc.publisher.institutionTechnische Universität Dresdenen_US
dc.publisher.institutionNortheastern Universityen_US
dc.publisher.institutionCoburg University of Applied Sciences and Artsen_US
dc.publisher.institutionNational Institute of Advanced Industrial Science and Technology (AIST), Tokyoen_US
dc.publisher.institutionUniversity of Hawaii at Manoaen_US
dc.publisher.institutionHarvard Universityen_US
dc.publisher.institutionTufts Universityen_US
dc.publisher.institutionMIT Media Laben_US
dc.publisher.institutionGraz University of Technologyen_US
dc.publisher.institutionUniversity of Colorado Boulderen_US
dc.identifier.doihttps://doi.org/10.1145/3411764.3446866en_US
dc.publisher.hasversionacceptedVersionen_US
ucalgary.item.requestcopytrueen_US
ucalgary.contact.emailwesley.willett@ucalgary.caen_US
ucalgary.contact.nameWillett, Wesley
ucalgary.scholar.levelFacultyen_US


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Unless otherwise indicated, this material is protected by copyright and has been made available with authorization from the copyright owner. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.