Comparing disparity based label segregation in augmented and virtual reality

Abstract

Recent work has shown that overlapping labels in far-field AR envi-ronments can be successfully segregated by remapping them to pre-defined stereoscopic depth layers. User performance was found to be optimal when setting the interlayer disparity to 5-10 arcmin. The current paper investigates to what extent this label segregation tech-nique, label layering, is affected by important perceptual defects in AR such as registration errors and mismatches in accommodation, visual resolution and contrast. A virtual environment matched to a corresponding AR condition but lacking these problems showed a reduction in average response time by 10%. However, the perfor-mance pattern for different label layering parameters was not sig-nificantly different in the AR and VR environments, showing ro-bustness of this label segregation technique against such perceptual issues