Demo Data from SIGIR 2026 / reviewers in the wild / expert
Francisco Nicolau
dblp:318/7604
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2022
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author · 1 since 2021Human-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 · 44% Personal fabrication and tangible interfaces · 44% Haptics and multimodal interaction · 13% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Personal fabrication and tangible interfaces
parametric design |
0.6 | 1 | 2022 | Exploring and Selecting Supershapes in Virtual Reality with Line, Quad, and Cube Shaped Widgets · VR 2022 |
Haptics and multimodal interaction
haptic feedback |
0.2 | 1 | 2022 | Exploring and Selecting Supershapes in Virtual Reality with Line, Quad, and Cube Shaped Widgets · VR 2022 |
Methods — techniques the papers use, named apart from their topics
thumbnails · 0.6spatial interaction · 0.6mini-maps · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Exploring and Selecting Supershapes in Virtual Reality with Line, Quad, and Cube Shaped WidgetsabstractSupershapes are used in Parametric Design to model, literally, thou-sands of natural and man-made shapes with a single 6 parameter formula. However, users are left to probe such a rich yet dense collection of supershapes using a set of independent 1-D sliders. Some of the formula’s parameters are non-linear in nature, making them particularly difficult to grasp with conventional 1-D sliders alone. VR appears as a promising setting for Parametric Design with supershapes since it empowers users with more natural visual inspection and shape browsing techniques, with multiple solutions being displayed at once and the possibility to design more interesting forms of slider interaction. In this work, we propose VR shape widgets that allow users to probe and select supershapes from a multitude of solutions. Our designs take leverage on thumbnails, mini-maps, haptic feedback and spatial interaction, while supporting 1-D, 2-D and 3-D supershape parameter spaces. We conducted a user study (N = 18) and found that VR shape widgets are effective, more efficient, and natural than conventional VR 1-D sliders while also usable for users without prior knowledge on supershapes. We also found that the proposed VR widgets provide a quick overview of the main supershapes, and users can easily reach the desired solution without having to perform fine-grain handle manipulations. Francisco Nicolau, Johan Gielis, Adalberto L. Simeone, Daniel Simões Lopes |
VR | 1 |