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Michael R. Marner

Researcher at University of South Australia

Publications -  27
Citations -  455

Michael R. Marner is an academic researcher from University of South Australia. The author has contributed to research in topics: Augmented reality & User interface. The author has an hindex of 13, co-authored 27 publications receiving 394 citations.

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Proceedings ArticleDOI

Improving procedural task performance with Augmented Reality annotations

TL;DR: Results of a study measuring user performance in a procedural task using Spatial Augmented Reality show that augmented annotations lead to significantly faster task completion speed, fewer errors, and reduced head movement, when compared to monitor based instructions.
Proceedings ArticleDOI

Physical-virtual tools for spatial augmented reality user interfaces

TL;DR: This paper presents a new user interface methodology for Spatial Augmented Reality systems, allowing an industrial designer to digitally airbrush onto an augmented physical model, masking the paint using a virtualized stencil.
Journal ArticleDOI

Spatial User Interfaces for Large-Scale Projector-Based Augmented Reality

TL;DR: The article describes how features of large-scale, projector-based augmented reality affect the design of spatial user interfaces for these environments and explores promising research directions and application domains.
Proceedings ArticleDOI

Validating Spatial Augmented Reality for interactive rapid prototyping

TL;DR: The results indicate that while slower, users can interact naturally with projected control panels and validate the use of spatial augmented reality for rapid iterative interface prototyping.
Proceedings ArticleDOI

Egocentric space-distorting visualizations for rapid environment exploration in mobile mixed reality

TL;DR: This work designed and implemented space-distorting visualizations to address off-screen or occluded points of interest in augmented or mixed reality and hopes that the initial results can inspire other researchers to also investigate space- Distorting visualization for mixed and augmented reality.