Demo Data from VLDB 2026 / reviewers in the wild / expert
Dhanraj Vishwanath
dblp:144/5260
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2014
—ORCID · unresolved
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 · 100% | |
| Computer graphics and multimedia
1 paper |
Computational photography and imaging · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Immersive interaction
depth perception |
0.2 | 1 | 2014 | Depth perception with gaze-contingent depth of field · CHI 2014 |
Computational photography and imaging
depth of field |
0.1 | 1 | 2014 | Depth perception with gaze-contingent depth of field · CHI 2014 |
Methods — techniques the papers use, named apart from their topics
user study · 0.4gaze tracking · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2014 | Depth perception with gaze-contingent depth of fieldabstractBlur in images can create the sensation of depth because it emulates an optical property of the eye; namely, the limited depth of field created by the eye's lens. When the human eye looks at an object, this object appears sharp on the retina, but objects at different distances appear blurred. Advances in gaze-tracking technologies enable us to reproduce dynamic depth of field in regular displays, providing an alternative way of conveying depth. In this paper we investigate gaze-contingent depth of field as a method to produce realistic 3D images, and analyze how effectively people can use it to perceive depth. We found that GC DOF increases subjective perceived realism and depth and can contribute to the perception of ordinal depth and distance between objects, but it is limited in its accuracy. Michael Mauderer 0001, Simone Conte, Miguel A. Nacenta, Dhanraj Vishwanath |
CHI | 4 |