Demo Data from VLDB 2026 / reviewers in the wild / expert
Richard Grafton
dblp:402/8811
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2025
0009-0007-0331-5998ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 1 · 1 first-author · 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.
| Human-computer interaction and pervasive computing
1 paper |
Interaction techniques and input · 77% Immersive interaction · 23% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Immersive interaction › virtual reality
virtual reality perception |
0.3 | 1 | 2025 | Understanding Break-ability through Screen-based Affordances · CHI 2025 |
Methods — techniques the papers use, named apart from their topics
user experiment · 0.9perceptual impact testing · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Understanding Break-ability through Screen-based AffordancesabstractCan J.J. Gibson’s concept of affordances be empirically examined using screen-based technology? We show how screen-based affordances can be examined through the use case of perceptual toughness, i.e. the break-ability of a virtual object. We present two user experiments (n=72, n=66) examining break-ability through a novel ’Perceptual Impact Testing’ methodology and online screen-based 3D virtual environment. We show that judgements of break-ability are systematically distorted when a perceiver’s virtual ‘Point of Observation’ or virtual environment’s ‘Horizonal Geometry’ are manipulated. These statistically significant results provide evidence that: 1) direct perception can account for perceptual distortions of break-ability; 2) Gibsonian affordances can be empirically examined through screen-based interactions. Richard Grafton, Oussama Metatla, Anne Roudaut |
CHI | 1 |