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Presence and discernability in conventional and non-photorealistic immersive augmented reality

Steptoe, William; Julier, Simon; Steed, Anthony; (2014) Presence and discernability in conventional and non-photorealistic immersive augmented reality. In: Julier, S and Lindeman, RW and Sandor, C, (eds.) 2014 IEEE International Symposium on Mixed and Augmented Reality (ISMAR). (pp. pp. 213-218). Institute of Electrical and Electronics Engineers (IEEE): Piscataway, NJ. Green open access

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Abstract

Non-photorealistic rendering (NPR) has been shown as a powerful way to enhance both visual coherence and immersion in augmented reality (AR). However, it has only been evaluated in idealized pre-rendered scenarios with handheld AR devices. In this paper we investigate the use of NPR in an immersive, stereoscopic, wide field-of-view head-mounted video see-through AR display. This is a demanding scenario, which introduces many real-world effects including latency, tracking failures, optical artifacts and mismatches in lighting. We present the AR-Rift, a low-cost video see-through AR system using an Oculus Rift and consumer webcams. We investigate the themes of consistency and immersion as measures of psychophysical non-mediation. An experiment measures discernability and presence in three visual modes: conventional (unprocessed video and graphics), stylized (edge-enhancement) and virtualized (edge-enhancement and color extraction). The stylized mode results in chance-level discernability judgments, indicating successful integration of virtual content to form a visually coherent scene. Conventional and virutalized rendering bias judgments towards correct or incorrect respectively. Presence as it may apply to immersive AR, and which, measured both behaviorally and subjectively, is seen to be similarly high over all three conditions.

Type: Proceedings paper
Title: Presence and discernability in conventional and non-photorealistic immersive augmented reality
Event: IEEE International Symposium on Mixed and Augmented Reality (ISMAR) - Science and Technology
Location: Munich, GERMANY
Dates: 10 September 2014 - 12 September 2014
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/ISMAR.2014.6948430
Publisher version: https://doi.org/10.1109/ISMAR.2014.6948430
Additional information: This version is the author-accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Rendering (computer graphics), Accuracy, Visualization, Image edge detection, Cameras, Tracking, Real-time systems
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/10127308
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