Indoor vs. Outdoor Depth Perception for Mobile Augmented Reality
Mark A. Livingston, Zhuming Ai, J. Edward Swan II, and Harvey S. Smallman. Indoor vs. Outdoor Depth Perception for Mobile Augmented Reality. In Technical Papers, Proceedings of IEEE Virtual Reality 2009, pp. 55–61, March 2009. DOI: 10.1109/VR.2009.4810999.
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Abstract
We tested users' depth perception of virtual objects in our mobile augmented reality (AR) system in both indoor and outdoor environments using a depth matching task. The indoor environment is characterized by strong linear perspective cues; we attempted to re-create these cues in the outdoor environment. In the indoor environment, we found an overall pattern of underestimation of depth that is typical for virtual environments and AR systems. However, in the outdoor environment, we found that subjects overestimated depth. In addition, our synthetic linear perspective cues met with a measure of success, leading users to reduce their estimate of the depth of distant objects. We describe the experimental procedure, analyze the data, present the results of the study, and discuss the implications for mobile, outdoor AR systems.
Additional Information
Acceptance rate: 28% (21 out of 76)
BibTeX
@InProceedings{IEEEVR09-iomar,
author = {Mark A. Livingston and Zhuming Ai and J. Edward {Swan~II} and Harvey S. Smallman},
title = {Indoor vs. Outdoor Depth Perception for Mobile Augmented Reality},
booktitle = {Technical Papers, Proceedings of IEEE Virtual Reality 2009},
year = 2009,
location = {Lafayette, Louisiana, USA},
date = {March 14--18},
month = {March},
pages = {55--61},
note = {DOI: <a target="_blank"
href="https://doi.org/10.1109/VR.2009.4810999">10.1109/VR.2009.4810999</a>.}
abstract = {
We tested users' depth perception of virtual objects in our mobile
augmented reality (AR) system in both indoor and outdoor environments
using a depth matching task. The indoor environment
is characterized by strong linear perspective cues; we attempted to
re-create these cues in the outdoor environment. In the indoor environment,
we found an overall pattern of underestimation of depth
that is typical for virtual environments and AR systems. However,
in the outdoor environment, we found that subjects overestimated
depth. In addition, our synthetic linear perspective cues met with
a measure of success, leading users to reduce their estimate of the
depth of distant objects. We describe the experimental procedure,
analyze the data, present the results of the study, and discuss the
implications for mobile, outdoor AR systems.
},
}