HCGRMMAug 6, 2019

Origin-Destination Flow Maps in Immersive Environments

arXiv:1908.02089v1101 citations
AI Analysis

This addresses the challenge of abstract data visualization in non-flat displays for users in immersive virtual and augmented reality, though it is incremental as it builds on existing flow map techniques.

The paper tackled the problem of visualizing origin-destination flow data in immersive environments by comparing different spatial encodings, finding that a 3D globe with raised flows was the fastest, most accurate, and most preferred method, with participants being significantly more accurate with raised flow paths proportional to distance.

Immersive virtual- and augmented-reality headsets can overlay a flat image against any surface or hang virtual objects in the space around the user. The technology is rapidly improving and may, in the long term, replace traditional flat panel displays in many situations. When displays are no longer intrinsically flat, how should we use the space around the user for abstract data visualisation? In this paper, we ask this question with respect to origin-destination flow data in a global geographic context. We report on the findings of three studies exploring different spatial encodings for flow maps. The first experiment focuses on different 2D and 3D encodings for flows on flat maps. We find that participants are significantly more accurate with raised flow paths whose height is proportional to flow distance but fastest with traditional straight line 2D flows. In our second and third experiment, we compared flat maps, 3D globes and a novel interactive design we call MapsLink, involving a pair of linked flat maps. We find that participants took significantly more time with MapsLink than other flow maps while the 3D globe with raised flows was the fastest, most accurate, and most preferred method. Our work suggests that careful use of the third spatial dimension can resolve visual clutter in complex flow maps.

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