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Di Bill Zhao

dblp:392/3456 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2026
—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 2021Human-computer interaction and ubiquitous computing · 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.

Human-computer interaction and pervasive computing
1 paper
Interaction techniques and input · 91% Immersive interaction · 9%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Interaction techniques and input › spatial interaction
3d interaction
1.012026
Scaled Mouse: An Efficient and Accurate Interaction Technique for 3D Docking in Seated VR · VR 2026
Interaction techniques and input
input device
1.012026
Scaled Mouse: An Efficient and Accurate Interaction Technique for 3D Docking in Seated VR · VR 2026
Interaction techniques and input › input device
mouse input
1.012026
Scaled Mouse: An Efficient and Accurate Interaction Technique for 3D Docking in Seated VR · VR 2026
Immersive interaction
virtual reality
0.312026
Scaled Mouse: An Efficient and Accurate Interaction Technique for 3D Docking in Seated VR · VR 2026

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

velocity-based scaling · 1.0
YearPublicationVenuePosition
2026 Scaled Mouse: An Efficient and Accurate Interaction Technique for 3D Docking in Seated VR
abstract
This paper presents an empirical evaluation of mouse-based interaction in seated Virtual Reality (VR) scenarios as an alternative to traditional VR controllers. We introduce Scaled Mouse, an interaction technique that shows the position of the real mouse in VR and maps standard mouse actions to 3D object manipulation using velocity-based scaling. We present two user studies assessing this method. In the first study, we compared a VR controller against our mouse-based method for manipulation tasks. Results show that the mouse consistently achieved higher rotation accuracy in 3D rotation and docking tasks than the controller, while maintaining comparable task completion times. Building on prior scaled interaction techniques, our second study investigated mouse interaction in a productivity-oriented scenario where users could combine 3D manipulation with a 2D adjustment panel. Scaled Mouse interaction was significantly faster and more accurate than the controller for 3D docking tasks and was rated significantly higher in usability and workload measures. Together, these findings establish the mouse as a viable and effective input device for seated VR contexts, offering both familiarity and accuracy advantages over controllers, particularly for professional and productivity-focused applications.
Di Bill Zhao, Wolfgang Stuerzlinger
VR2