Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data.

Michael R. Marner

dblp:42/7703 · DBLP profile ↗
← Back
7ranked-venue papers
3as first author
0since 2021 · last 2014
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 6 · 2 first-authorHuman-computer interaction and ubiquitous computing · 6 · 2 first-authorTheory of computation · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
6 papers
Immersive interaction · 52% Interaction techniques and input · 23% User interface design and tools · 11%
Computer graphics and multimedia
3 papers
Visualization and visual analytics · 60% Virtual and augmented reality · 40%

Topics — the 12 heaviest of 15, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Immersive interaction
augmented reality
0.322013
Improving procedural task performance with Augmented Reality annotations · ISMAR 2013
Physical-virtual tools for spatial augmented reality user interfaces · ISMAR 2009
Immersive interaction › augmented reality
spatial augmented reality
0.322013
Improving procedural task performance with Augmented Reality annotations · ISMAR 2013
Physical-virtual tools for spatial augmented reality user interfaces · ISMAR 2009
Visualization and visual analytics › focus+context visualization
distortion-oriented views
0.222010
Egocentric space-distorting visualizations for rapid environment exploration in mobile mixed reality · VR 2010
Egocentric space-distorting visualizations for rapid environment exploration in mobile mixed reality · ISMAR 2009
Interaction techniques and input › mobile interaction
mobile mixed reality
0.122010
Egocentric space-distorting visualizations for rapid environment exploration in mobile mixed reality · VR 2010
Egocentric space-distorting visualizations for rapid environment exploration in mobile mixed reality · ISMAR 2009
Virtual and augmented reality
augmented reality
0.112011
An adaptive color marker for Spatial Augmented Reality environments and visual feedback · VR 2011
User interface design and tools › prototyping
rapid prototyping
0.112010
Validating Spatial Augmented Reality for interactive rapid prototyping · ISMAR 2010
Virtual and augmented reality
mixed reality
0.112009
Egocentric space-distorting visualizations for rapid environment exploration in mobile mixed reality · ISMAR 2009
Visualization and visual analytics
spatial visualization
0.112009
Egocentric space-distorting visualizations for rapid environment exploration in mobile mixed reality · ISMAR 2009
Personal fabrication and tangible interfaces
tangible interaction
0.112009
Physical-virtual tools for spatial augmented reality user interfaces · ISMAR 2009
Interaction techniques and input
visual feedback
0.012011
An adaptive color marker for Spatial Augmented Reality environments and visual feedback · VR 2011
Interaction techniques and input › input sensing › tracking › hand tracking
finger tracking
0.012010
Validating Spatial Augmented Reality for interactive rapid prototyping · ISMAR 2010
Interaction techniques and input
mobile interaction
0.012009
Egocentric space-distorting visualizations for rapid environment exploration in mobile mixed reality · ISMAR 2009

Methods — techniques the papers use, named apart from their topics

iterative design · 0.4color light sensor · 0.2RGB LED marker · 0.2user feedback · 0.2spatial augmented reality · 0.2projected annotations · 0.2user study · 0.1projector-based display · 0.1two-handed technique · 0.1projected graphics · 0.1informal user feedback · 0.1
YearPublicationVenuePosition
2014 GION: Interactively Untangling Large Graphs on Wall-Sized Displays
Michael R. Marner, Ross Smith 0001, Bruce H. Thomas, Karsten Klein 0001, Peter Eades, Seok-Hee Hong 0001
GD1
2013 Improving procedural task performance with Augmented Reality annotations
abstract
This paper presents results of a study measuring user performance in a procedural task using Spatial Augmented Reality (SAR). The task required participants to press sequences of buttons on two control panel designs in the correct order. Instructions for the task were shown either on a computer monitor, or projected directly onto the control panels. This work was motivated by discrepancies between the expectations from AR proponents and experimental findings. AR is often promoted as a way of improving user performance and understanding. With notable exceptions however, experimental results do not confirm these expectations. Reasons cited for results include limitations of current display technologies and misregistration caused by tracking and calibration errors. Our experiment utilizes SAR to remove these effects. Our results show that augmented annotations lead to significantly faster task completion speed, fewer errors, and reduced head movement, when compared to monitor based instructions. Subjectively, our results show augmented annotations are preferred by users.
Michael R. Marner, Andrew Irlitti, Bruce H. Thomas
ISMAR1
2011 An adaptive color marker for Spatial Augmented Reality environments and visual feedback
abstract
This demonstration presents an adaptive visual marker optimised to improve tracking performance in Spatial Augmented Reality environments. The adaptive marker uses a color light sensor to capture the projected light color from a SAR system. The color information is used to select the optimal tracking color that is displayed on a diffused Red, Green, Blue Light Emitting Diode marker attached to a user's finger. We have selected to use the visible light spectrum for the marker since it can be leveraged to present visual feedback to support user interface interactions in addition to the tracking system operation. Our initial results have shown a performance improvement compared to a fixed color passive marker.
Ross Smith 0001, Michael R. Marner, Bruce H. Thomas
VR2
2010 Validating Spatial Augmented Reality for interactive rapid prototyping
abstract
This paper investigates the use of Spatial Augmented Reality in the prototyping of new human-machine interfaces, such as control panels or car dashboards. The prototyping system uses projectors to present the visual appearance of controls onto a mock-up of a product. Finger tracking is employed to allow real-time interactions with the controls. This technology can be used to quickly and inexpensively create and evaluate interface prototypes for devices. In the past, evaluating a prototype involved constructing a physical model of the device with working components such as buttons. We have conducted a user study to compare these two methods of prototyping and to validate the use of spatial augmented reality for rapid iterative interface prototyping. Participants of the study were required to press pairs of buttons in sequence and interaction times were measured. The results indicate that while slower, users can interact naturally with projected control panels.
Shane Porter, Michael R. Marner, Ross Smith 0001, Joanne E. Zucco, Bruce H. Thomas
ISMAR2
2010 Egocentric space-distorting visualizations for rapid environment exploration in mobile mixed reality
abstract
Most of today's mobile internet devices contain facilities to display maps of the user's surroundings with points of interest embedded into the map. Other researchers have already explored complementary, egocentric visualizations of these points of interest using mobile mixed reality. Being able to perceive the point of interest in detail within the user's current context is desirable, however, it is challenging to display off-screen or occluded points of interest. We have designed and implemented space-distorting visualizations to address these situations. While this class of visualizations has been extensively studied in information visualization, we are not aware of any attempts to apply them to augmented or mixed reality. Based on the informal user feedback that we have gathered, we have performed several iterations on our visualizations. We hope that our initial results can inspire other researchers to also investigate space-distorting visualizations for mixed and augmented reality.
Christian Sandor, Arindam Dey 0001, Andrew Cunningham, Sebastien Barbier, Ulrich Eck, Donald Urquhart, Michael R. Marner, Graeme Jarvis, Sang Rhee
VR7
2009 Physical-virtual tools for spatial augmented reality user interfaces
abstract
This paper presents a new user interface methodology for Spatial Augmented Reality systems. The methodology is based on a set of physical tools that are overloaded with logical functions. Visual feedback presents the logical mode of the tool to the user by projecting graphics onto the physical tools. This approach makes the tools malleable in their functionality, with this change conveyed to the user by changing the projected information. Our prototype application implements a two handed technique allowing an industrial designer to digitally airbrush onto an augmented physical model, masking the paint using a virtualized stencil.
Michael R. Marner, Bruce H. Thomas, Christian Sandor
ISMAR1
2009 Egocentric space-distorting visualizations for rapid environment exploration in mobile mixed reality
abstract
Throughout the last decade, mobile information browsing has become a widely-adopted practice. Most of today's mobile Internet devices contain facilities to display maps of the user's surroundings with points of interest embedded into the map. Other researchers have already explored complementary, egocentric visualizations of these points of interest using mobile mixed reality. However, it is challenging to display off-screen or occluded points of interest. We have designed and implemented space-distorting visualizations to address these situations. Based on the informal user feedback that we have gathered, we have performed several iterations on our visualizations. We hope that our initial results can inspire other researchers to also investigate space-distorting visualizations for mixed and augmented reality.
Christian Sandor, Andrew Cunningham, Ulrich Eck, Donald Urquhart, Graeme Jarvis, Arindam Dey 0001, Sebastien Barbier, Michael R. Marner, Sang Rhee
ISMAR8