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Trey Cook

dblp:225/8417 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2018
—ORCID · none

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

Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-authorHuman-computer interaction and ubiquitous computing · 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.

Computer graphics and multimedia
1 paper
Virtual and augmented reality · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Virtual and augmented reality
immersive display
0.312018
User Preference for SharpView-Enhanced Virtual Text During Non-Fixated Viewing · VR 2018
Virtual and augmented reality › augmented reality
optical see-through head-mounted display
0.312018
User Preference for SharpView-Enhanced Virtual Text During Non-Fixated Viewing · VR 2018

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

sharpview algorithm · 0.3
YearPublicationVenuePosition
2018 User Preference for SharpView-Enhanced Virtual Text During Non-Fixated Viewing
abstract
For optical see-through head-mounted displays, the mismatch between a display's focal length and the real world scene inadvertently prevents users from simultaneously focusing on the presented virtual content and the scene. It has been shown that it is possible to ameliorate the out-of-focus blur for images with a known focus distance, by applying an algorithm called Sharp View. However, it remains unclear if Sharp View also improves the readability and clarity of text rendered on the display. In this study, we investigate whether users reported increased text clarity when Sharp View was applied to a text label, and how the focal demand of the display, the focal distance to real world content, and gaze condition affect the result. Our results indicate that, in non-fixated viewing, there is a significant user preference for Sharp View-enhanced text strings.
Trey Cook, Nate Phillips, Kristen Massey, Alexander Plopski, Christian Sandor
VR1