Page 219 - Kaleidoscope Academic Conference Proceedings 2021
P. 219

Session 5: Augmented reality and machine learning for future spatial applications and services

             S5.1      Building a distributed XR immersive environment for data visualization*
                       Fernando Beltrán and Jing Geng (University of Auckland, New Zealand)

                       We  present  a  novel  way to  support  business  organizations'  decision-making in  the  context  of
                       analysis of network data sets. For such a purpose we built a mixed-reality, multi-user platform,
                       which we named Aroaro and can be deployed on different virtual reality and augmented reality
                       devices. In Aroaro, users can experience data visualization, either individually or as part of a team.
                       With a set of lab tasks designed to lead lab subjects to analyze the network information while
                       immersing  into  the  rich  virtual  environment,  our  approach  belongs  to  the  nascent  area  of
                       immersive analytics. We assume a business unit has already procured some network data set and
                       been  tasked  with  problems  that  need  to  reveal  information  about  the  network's  connectivity
                       properties.  This  paper  is  concerned  with  how  a  business  unit  achieves  problem  solving
                       (decisionmaking) when relying on immersive analytics. Our approach combines a high-quality
                       virtual environment such as Aroaro, its data visualization engine and the analytics afforded by
                       concepts  of  network  centrality  in  a  network.  We  report  on  preliminary  results  of  having  lab
                       subjects experience two visualization environments: a 3D visualization system on a 2D-flat screen
                       and our mixed-reality, multi-user platform for network data visualization.

             S5.2      Assessment of spatial intervention of public spaces by locative augmented reality games players
                       Fadzidah Abdullah and Mohd Faredzuan Mohd Noor (International Islamic University Malaysia,
                       Malaysia);  Mohd  Raziff  Abdul  Razak  (British  Malaysian  Institute,  University  Kuala  Lumpur,
                       Malaysia)

                       Augmented Reality (AR) games appear to have had a massive growth in the era of the Fourth
                       Industrial Revolution (IR 4.0). Locative AR games require the usage of big spaces for gamers to
                       move around. Nevertheless, there is a question of whether public spaces are suitable for the spatial
                       intervention of locative AR games players. Spatial intervention may become an issue among the
                       public regarding accessibility, permeability, openness, centrality, and sense of security. This paper
                       assesses the public perceptions of the spatial intervention of public spaces by locative AR games
                       players.  Researchers  conducted  this  research  by  using  both  qualitative  and  quantitative
                       approaches. The primary data was obtained based on observation and survey questionnaires, whilst
                       the secondary data was collected using desk research. The findings of this research could help city
                       authorities to consider formulating new design criteria of public spaces that are safe for both AR
                       games' players and the public.
































                                                          – 157 –
   214   215   216   217   218   219   220   221   222   223   224