Sang Rhee

dblp:22/7703 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2010
—ORCID · none

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

Graphics, computer vision, multimedia, augmented reality and games · 2Human-computer interaction and ubiquitous computing · 2

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.

Computer graphics and multimedia
2 papers
Visualization and visual analytics · 78% Virtual and augmented reality · 22%
Human-computer interaction and pervasive computing
2 papers
Interaction techniques and input · 100%

Topics — the 5 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
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
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
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 · 0.4user feedback · 0.2informal user feedback · 0.2
YearPublicationVenuePosition
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
VR9
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
ISMAR9