Demo Data from VLDB 2026 / reviewers in the wild / expert
Matthew Brandt
dblp:89/3283
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1999
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 1
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 |
Immersive interaction · 87% Usability and user experience research · 13% | |
| Computer graphics and multimedia
1 paper |
Rendering · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Rendering
shadow rendering |
0.0 | 1 | 1999 | The relative contributions of stereo, lighting, and background scenes in promoting 3D depth visualization · ACM Trans. Comput. Hum. Interact. 1999 |
Immersive interaction › depth perception
depth cues |
0.0 | 1 | 1999 | The relative contributions of stereo, lighting, and background scenes in promoting 3D depth visualization · ACM Trans. Comput. Hum. Interact. 1999 |
Immersive interaction › depth perception
depth perception in virtual reality |
0.0 | 1 | 1999 | The relative contributions of stereo, lighting, and background scenes in promoting 3D depth visualization · ACM Trans. Comput. Hum. Interact. 1999 |
Usability and user experience research › visual perception
stereoscopic viewing |
0.0 | 1 | 1999 | The relative contributions of stereo, lighting, and background scenes in promoting 3D depth visualization · ACM Trans. Comput. Hum. Interact. 1999 |
Methods — techniques the papers use, named apart from their topics
user study · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1999 | The relative contributions of stereo, lighting, and background scenes in promoting 3D depth visualizationabstractMore powerful contemporary computer hardware has enabled the development and exploration of a wide variety of techniques to depict spatial characteristics of computer-generated objects in three-dimensional (3D) space.Particularly, the role of stereoscopic viewing and the use of object motion to reflect the position and size of objects in 3D space have been extensively studied.However, the effective use of computer-rendered object shadows to provide spatial information about the relative position and size of objects in virtual space has not.Subjects perform two tasks with 3D geometric patterns of objects presented on a computer screen: (1) positioning the object to complete a symmetrical geometric figure and (2) resizing the object to match the size of other objects.Performance accuracy and speed are recorded under the following conditions: (1) objects casting shadows on and off, (2) shadows from one or two light sources (nested within the shadows-on condition), (3) stereoscopic and monoscopic viewing, and (4) different scene backgrounds: flat plane (i.e., floor), "stair-step" floor with no walls, and floor with walls (i.e., room).The use of object shadows as depth cues enhances the accuracy (but not the speed) of object positioning, but does not enhance either the accuracy or the speed of object resizing.Moreover, the object shadows are not as effective as stereoscopic viewing in facilitating both positioning-task and resizing-task performances.Furthermore, task performances degrade with the stair-step scene background and when the number of shadowing light sources increases from one to two. Geoffrey S. Hubona, Philip N. Wheeler, Gregory W. Shirah, Matthew Brandt |
ACM Trans. Comput. Hum. Interact. | 4 |