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Matthew Brandt

dblp:89/3283 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Rendering
shadow rendering
0.011999
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
0.011999
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
0.011999
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
0.011999
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
YearPublicationVenuePosition
1999 The relative contributions of stereo, lighting, and background scenes in promoting 3D depth visualization
abstract
More 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