DocumentCode
2600962
Title
Augmented-reality visualizations guided by cognition: perceptual heuristics for combining visible and obscured information
Author
Furmanski, Chris ; Azuma, Ronald ; Daily, Mike
Author_Institution
LLC, HRL Labs., Malibu, CA, USA
fYear
2002
fDate
2002
Firstpage
215
Lastpage
320
Abstract
One unique feature of mixed and augmented reality (MR/AR) systems is that hidden and occluded objects an be readily visualized. We call this specialized use of MR/AR, obscured information visualization (OIV). In this paper, we describe the beginning of a research program designed to develop such visualizations through the use of principles derived from perceptual psychology and cognitive science. In this paper we surveyed the cognitive science literature as it applies to such visualization tasks, described experimental questions derived from these cognitive principles, and generated general guidelines that can be used in designing future OIV systems (as well improving AR displays more generally). We also report the results from an experiment that utilized a functioning AR-OIV system: we found that in relative depth judgment, subjects reported rendered objects as being in front of real-world objects, except when additional occlusion and motion cues were presented together.
Keywords
augmented reality; data visualisation; hidden feature removal; psychology; visual perception; augmented reality; cognition-guided augmented reality visualizations; cognitive science; hidden object visualization; mixed reality; motion cues; obscured information visualization; occluded object visualization; perceptual heuristics; perceptual psychology; relative depth judgment; rendered objects; visible/obscured information combination; Application software; Augmented reality; Cognitive science; Displays; Guidelines; Laboratories; Psychology; Rendering (computer graphics); Virtual reality; Visualization;
fLanguage
English
Publisher
ieee
Conference_Titel
Mixed and Augmented Reality, 2002. ISMAR 2002. Proceedings. International Symposium on
Print_ISBN
0-7695-1781-1
Type
conf
DOI
10.1109/ISMAR.2002.1115091
Filename
1115091
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