Grand Challenges in Immersive Analytics
Autor: | Christoph Anthes, Wesley Willett, Jens Grubert, Wolfgang Büschel, Cody Dunne, Nazmus Saquib, Tica Lin, Maxime Cordeil, Dylan Kobayashi, Matt Whitlock, Yalong Yang, Dieter Schmalstieg, Danielle Albers Szafir, Jason H. Haga, Monsurat Olaosebikan, Nurit Kirshenbaum, Tim Dwyer, Marcos Serrano, Barrett Ens, Arnaud Prouzeau, Ulrich Engelke, David Saffo, Fabian Pointecker, Benjamin Bach |
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Přispěvatelé: | Monash University [Melbourne], University of Edinburgh, Data61 [Canberra] (CSIRO), Australian National University (ANU)-Commonwealth Scientific and Industrial Research Organisation [Canberra] (CSIRO), Etude de L’Interaction Personne SystèmE (IRIT-ELIPSE), Institut de recherche en informatique de Toulouse (IRIT), Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées, University of Calgary, Popular interaction with 3d content (Potioc), Laboratoire Bordelais de Recherche en Informatique (LaBRI), Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Inria Bordeaux - Sud-Ouest, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), University of Applied Sciences Upper Austria (FH OÖ), Technische Universität Dresden = Dresden University of Technology (TU Dresden), Khoury College of Computer Sciences [Boston], Northeastern University [Boston], Coburg University of Applied Sciences and Arts, National Institute of Advanced Industrial Science and Technology [Tokyo] (AIST), University of Hawai‘i [Mānoa] (UHM), Harvard University [Cambridge], Tufts University [Medford], MIT media Lab, Massachusetts Institute of Technology (MIT), Graz University of Technology [Graz] (TU Graz), University of Colorado [Boulder], Canada Research Chairs Program, Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strat-egy – EXC-2068 – 390729961 – Cluster of Excellence Physics of Life of TU Dresden, NSF 1764092, Australian Research Council Discov-ery Projects funding scheme DP18010075, a Harvard Physical Sciences and Engineering Accelerator Award, ANR-18-CE33-0009,PERFIN,Interfaces Ubiquitaires à Forme Libre(2018), Université Toulouse Capitole (UT Capitole), Université de Toulouse (UT)-Université de Toulouse (UT)-Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Toulouse Mind & Brain Institut (TMBI), Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université Toulouse Capitole (UT Capitole), Université de Toulouse (UT), Université de Bordeaux (UB)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Centre National de la Recherche Scientifique (CNRS)-Université de Bordeaux (UB)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Centre National de la Recherche Scientifique (CNRS)-Inria Bordeaux - Sud-Ouest, National Institute of Advanced Industrial Science and Technology (AIST), Harvard University |
Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
Engineering
Concepts and models Emerging technologies HCI theory 02 engineering and technology Augmented reality Virtual reality Mixed / augmented reality Immersive analytics Field (computer science) Data visualization Immersive analytics 0202 electrical engineering electronic engineering information engineering 0501 psychology and cognitive sciences [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC] 050107 human factors Grand Challenges Grand research challenges data visualisation business.industry 05 social sciences Visualization systems and tools grand research challenges 020207 software engineering Data science augmented reality Visualization virtual reality business Data visualisation |
Zdroj: | CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems ; ISBN: 978-1-4503-8096-6 Conference on Human Factors in Computing Systems (CHI 2021) Conference on Human Factors in Computing Systems (CHI 2021), May 2021, Yokohama / Virtual, Japan. pp.1-17, ⟨10.1145/3411764.3446866⟩ Ens, B, Bach, B, Cordeil, M, Engelke, U, Serrano, M, Willett, W, 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, Saquib, N, Schmalstieg, D, Albers Szafir, D, Whitlock, M & Yang, Y 2021, Grand Challenges in Immersive Analytics . in Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems (CHI '21) . The ACM CHI Conference on Human Factors in Computing Systems 2021, Virtual Conference, Japan, 8/05/21 . https://doi.org/10.1145/3411764.3446866 CHI |
DOI: | 10.1145/3411764.3446866⟩ |
Popis: | The definitive version will be published in CHI 2021, May 8–13, 2021, Yokohama, Japan; International audience; Immersive Analytics is a quickly evolving field that unites several areas such as visualisation, immersive environments, and humancomputer 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. |
Databáze: | OpenAIRE |
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