Depth cues for augmented reality stakeout

Authors:
Volkert Jurgens;Andy Cockburn;Mark Billinghurst
Affiliations:
University of Canterbury;University of Canterbury;University of Canterbury
Venue:
CHINZ '06 Proceedings of the 7th ACM SIGCHI New Zealand chapter's international conference on Computer-human interaction: design centered HCI
Year:
2006

Citing 5
Cited 1

Information visualization: perception for design

Information visualization: perception for design
The relative contributions of stereo, lighting, and background scenes in promoting 3D depth visualization

ACM Transactions on Computer-Human Interaction (TOCHI)
Reaching movements to augmented and graphic objects in virtual environments

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A Touring Machine: Prototyping 3D Mobile Augmented Reality Systems for Exploring the Urban Environment

ISWC '97 Proceedings of the 1st IEEE International Symposium on Wearable Computers
ARQuake: An Outdoor/Indoor Augmented Reality First Person Application

ISWC '00 Proceedings of the 4th IEEE International Symposium on Wearable Computers

Improving relative depth judgments in augmented reality with auxiliary augmentations

ACM Transactions on Applied Perception (TAP)

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Abstract

We present the results of a study that compares a range of depth cues for an augmented reality (AR) stakeout application. AR stakeout is the process of placing a real pole on a virtual marker on the ground. Such an application is for example relevant for construction work or surveying. In AR stakeout, interaction takes place at a distance of about 2m from the eye; a distance that has been neglected by AR depth perception research. We compared the performance of six different AR depth cue conditions at two different accuracy requirements. Subjective preferences were strongly in favour of "cast circle", a depth cue introduced in this paper, while there was no significant difference in performance between the conditions. An analysis of the movement patterns indicated that the participants' targeting strategy relied on kinesthetic rather than visual feedback. These movement patterns provide a vantage point for future strategies of targeting support.