We study how users perform logical reasoning tasks on visualizations displayed in two different scales commonly employed in our everyday lives (the size of a room versus the size of a table) in an Augmented Reality (AR) environment.
Emerging Augmented Reality (AR) technologies can enable situated interactive visual analytics beyond the screen. However, the presentation and interaction design of data visualization integrated into the physical environment may vary in different scales. Understanding how users manage their spatial relationships with AR visualization under different representational scales is crucial for designing userfriendly AR-empowered visual analytic systems. To this end, we present a study with 16 participants, inviting them to solve two logical reasoning puzzles by interacting with the associated node-link graphs in AR in room- and tablescales respectively. Through observation, interviews, and video analysis, we identify three types of spatial arrangements, which are, positioning the visualization in the figural, vista, or panoramic space of a user. We further explore how scales and visualization design affect users’ spatial preferences and exploratory behaviors, and summarize our findings among the three types of spatial arrangements.
Zhida Sun, Feng Han, and Xiaojuan Ma. 2018. Exploring the Effects of Scale in Augmented Reality-Empowered Visual Analytics. In Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems (CHI EA '18). ACM, New York, NY, USA, Paper LBW012, 6 pages. DOI: https://doi.org/10.1145/3170427.3188551