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2021 ITU Kaleidoscope Academic Conference




           The  results  obtained thus far can  be considered  as   [2]  C. Donalek, S. G. Djorgovski, A. Cioc, A. Wang, J.
           preliminary results. We believe they are robust enough to   Zhang, E. Lawler, S. Yeh, A. Mahabal, M. Graham,
           point in the  right direction and  be  used in  hypothesis   A. Drake, S. Davidoff, J.S. Norris, & G. Longo,
           formulation,  but not  statistically significant to  draw   “Immersive and collaborative data visualization
           definitive conclusions.                                  using virtual reality platforms.” Proceedings - 2014
                                                                    IEEE International Conference on Big Data, IEEE
           In terms  of  responsiveness, participants  spent less time   Big Data, 2014.
           making decisions posed through HCE questions in Aroaro   https://doi.org/10.1109/BigData.2014.7004282 .
           than the alternative. Further, the  quality of  decisions,
           measured by  scores on  the  answers provided, was higher   [3]  A. Febretti, A. Nishimoto, T. Thigpen, J. Talandis,
           when the participants experienced Aroaro’s VR environment   L. Long, J. D. Pirtle, T. Peterka, A. Verlo, M. Brown,
           than their using the alternative. This result is less obvious for   D. Plepys, and others, “CAVE2: a hybrid reality
           LCE questions and  more appreciable for  HCE  questions.   environment for immersive simulation and
           Participants seemed to have performed better on Gephi when   information analysis,” in Proceedings IS&T / SPIE
           they worked first in Aroaro. However, when Gephi was the   Electronic Imaging, vol. 8649, pp. 864903.1–12.
           first platform used, participants in  Aroaro  had lower   SPIE, 2013.
           performance compared to when Aroaro was first used.
                                                              [4]   A. Irlitti, S. Von Itzstein, L. Alem, and B. Thomas,
           Results  cannot  yet deliver hard quantitative  evidence of   “Tangible interaction techniques to support
           superior performance of one visualization tool over the other.   asynchronous collaboration”, in 2013 IEEE Interna-
           However, it is encouraging to observe most users report our   tional Symposium on Mixed and Augmented Reality
           platform is easier to use than the alternative. Also, it is noted   (ISMAR), pp. 1–6, 2013.
           that as users could explore the virtual environment and feel
           comfortable discovering  its features, they also get more   [5]  M. Cordeil, T. Dwyer, K. Klein, B. Laha, K. Marriott
           curious about the object of visualization. The latter suggests   and B. H. Thomas, "Immersive Collaborative
           what is reported in earlier immersive analytics experiments   Analysis of Network Connectivity: CAVE-style or
           that the richness of the environment invites exploration.    Head-Mounted Display?" in IEEE Transactions on
                                                                    Visualization and Computer Graphics, vol. 23, no. 1,
           Next steps will deliver reports on a quantitative assessment   pp. 441-450, Jan. 2017, doi:10.1109/
           of the answers provided by lab subjects, which will allow us   TVCG.2016.2599107.
           to effectuate a comparison between 3D data visualization on
           a 2D flat screen and a totally immersive system. Finding   [6]  M. Cordeil, A. Cunningham, T. Dwyer, B. H.
           whether, where  and how  immersive virtual  reality      Thomas and K. Marriott, “ImAxes: Immersive axes
           environments turn out to be superior on one or more metrics   as embodied affordances for interactive multivariate
           than alternative non-immersive methods may turn out to be   data visualisation”, UIST 2017 - Proceedings of the
           the key for a convincing business adoption case of this novel   30th Annual ACM Symposium on User Interface
           decision-making tool. Finally, picking on  some still    Software and Technology, 2017.
           unresolved challenges on collaborative visualization [9], we   https://doi.org/10.1145/3126594.3126613.
           will extend our work to multi-user, team decision-making.
                                                              [7]   K. Marriott, F. Schreiber, T. Dwyer, K. Klein, N.
                         ACKNOWLEDGMENTS                            Riche and T. Itoh, et al., “Immersive
                                                                    Analytics”, Germany: Springer International
           The authors gratefully acknowledge the financial support of   Publishing, 2018.
           The University of Auckland Foundation and UoA Business
           School. We also want to thank Aroaro Chief Architect David   [8]  T. Dwyer, K. Marriott, T. Isenberg, K. Klein, N.
           White and Principal Programmer  Aidan  Quayle for their   Riche, F. Schreiber, W. Stuerzlinger, and B. H.
           thoughtful insights.                                     Thomas, “Immersive Analytics: An Introduction”, in
                                                                    Immersive Analytics, K. Marriott, F. Schreiber, T.
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                                                                    https://doi.org/10.1177/1473871611412817.









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