Demo Data from SIGIR 2026 / reviewers in the wild / expert
Cedric Goulon
dblp:31/8720
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2015
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 1Human-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% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Immersive interaction › depth perception
distance perception |
0.2 | 1 | 2015 | Does virtual reality affect visual perception of egocentric distance? · VR 2015 |
Immersive interaction
virtual reality |
0.2 | 1 | 2015 | Does virtual reality affect visual perception of egocentric distance? · VR 2015 |
Immersive interaction › virtual reality
driving simulation |
0.1 | 1 | 2015 | Does virtual reality affect visual perception of egocentric distance? · VR 2015 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2015 | Does virtual reality affect visual perception of egocentric distance?abstractVirtual reality (driving simulators) tends to generalize for the study of human behavior in mobility. It is thus crucial to ensure that perception of space and motion is little or not affected by the virtual environment (VE). The aim of this study was to determine a metrics of distance perception in VEs and whether this metrics depends on interactive factors: stereoscopy and motion parallax. After a training session, participants were asked, while driving, to estimate the relative location (5 to 80 m) of a car on the same road. The overall results suggest that distance perception in this range does not depend on interactive factors. In average, as generally reported, subjects underestimated the distances whatever the vision conditions. However, the study revealed a large interpersonal variability: two profiles of participants were defined, those who quite accurately perceived distances in VR and those who underestimated distances as usually reported. Overall, this classification was correlated to the level of performance of participants during the training phase. Furthermore, learning performance is predictive of the behavior of participants. Thomas Rousset, Christophe Bourdin, Cedric Goulon, Jocelyn Monnoyer, Jean-Louis Vercher |
VR | 3 |