EDBT 2026 Demo / reviewers in the wild / expert
Eric J. Chen
dblp:403/0147
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2025
0009-0001-6651-6646ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Human-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.
| Computer graphics and multimedia
1 paper |
Virtual and augmented reality · 77% Visualization and visual analytics · 23% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Virtual and augmented reality
presence |
0.9 | 1 | 2025 | The Fidelity-based Presence Scale (FPS): Modeling the Effects of Fidelity on Sense of Presence · CHI 2025 |
Visualization and visual analytics › usability and user experience research
user experience research |
0.3 | 1 | 2025 | The Fidelity-based Presence Scale (FPS): Modeling the Effects of Fidelity on Sense of Presence · CHI 2025 |
Methods — techniques the papers use, named apart from their topics
exploratory factor analysis · 0.9delphi study · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | The Fidelity-based Presence Scale (FPS): Modeling the Effects of Fidelity on Sense of PresenceabstractWithin the virtual reality (VR) research community, there have been several efforts to develop questionnaires with the aim of better understanding the sense of presence. Despite having numerous surveys, the community does not have a questionnaire that informs which components of a VR application contributed to the sense of presence. Furthermore, previous literature notes the absence of consensus on which questionnaire or questions should be used. Therefore, we conducted a Delphi study, engaging presence experts to establish a consensus on the most important presence questions and their respective verbiage. We then conducted a validation study with an exploratory factor analysis (EFA). The efforts between our two studies led to the creation of the Fidelity-based Presence Scale (FPS). With our consensus-driven approach and fidelity-based factoring, we hope the FPS will enable better communication within the research community and yield important future results regarding the relationship between VR system fidelity and presence. Jacob Belga, Richard Skarbez, Yahya Hmaiti, Eric J. Chen, Ryan P. McMahan, Joseph J. LaViola Jr. |
CHI | 4 |