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Ryan Servera

dblp:325/4649 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2024
—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 since 2021

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
Visualization and visual analytics · 54% Rendering · 23% Virtual and augmented reality · 23%

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

TopicWeightPapersLastEvidence papers
Visualization and visual analytics
graph visualization
0.812024
Path Tracing in 2D, 3D, and Physicalized Networks · IEEE Trans. Vis. Comput. Graph. 2024
Visualization and visual analytics › visual analytics
immersive analytics
0.812024
Path Tracing in 2D, 3D, and Physicalized Networks · IEEE Trans. Vis. Comput. Graph. 2024
Rendering › ray tracing
path tracing
0.812024
Path Tracing in 2D, 3D, and Physicalized Networks · IEEE Trans. Vis. Comput. Graph. 2024
Virtual and augmented reality › immersive visualization
virtual reality visualization
0.812024
Path Tracing in 2D, 3D, and Physicalized Networks · IEEE Trans. Vis. Comput. Graph. 2024
Visualization and visual analytics › information visualization
data physicalization
0.212024
Path Tracing in 2D, 3D, and Physicalized Networks · IEEE Trans. Vis. Comput. Graph. 2024

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

user study · 0.8pre-registration · 0.8
YearPublicationVenuePosition
2024 Path Tracing in 2D, 3D, and Physicalized Networks
abstract
It is common to advise against using 3D to visualize abstract data such as networks, however Ware and Mitchell's 2008 study showed that path tracing in a network is less error prone in 3D than in 2D. It is unclear, however, if 3D retains its advantage when the 2D presentation of a network is improved using edge-routing, and when simple interaction techniques for exploring the network are available. We address this with two studies of path tracing under new conditions. The first study was preregistered, involved 34 users, and compared 2D and 3D layouts that the user could rotate and move in virtual reality with a handheld controller. Error rates were lower in 3D than in 2D, despite the use of edge-routing in 2D and the use of mouse-driven interactive highlighting of edges. The second study involved 12 users and investigated data physicalization, comparing 3D layouts in virtual reality versus physical 3D printouts of networks augmented with a Microsoft HoloLens headset. No difference was found in error rate, but users performed a variety of actions with their fingers in the physical condition which can inform new interaction techniques.
Michael J. McGuffin, Ryan Servera, Marie Forest
IEEE Trans. Vis. Comput. Graph.2