Demo Data from VLDB 2026 / reviewers in the wild / expert
Rudolf C. Hegemann Garcia
dblp:336/4293
· DBLP profile ↗
1ranked-venue papers
0as 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 since 2021Human-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.
| Human-computer interaction and pervasive computing
1 paper |
Immersive interaction · 77% Usability and user experience research · 23% | |
| Computer graphics and multimedia
1 paper |
Visualization and visual analytics · 100% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Visualization and visual analytics › interactive visualization
out-of-view object visualization |
0.6 | 1 | 2022 | Arrow, Bézier Curve, or Halos? - Comparing 3D Out-of-View Object Visualization Techniques for Handheld Augmented Reality · ISMAR 2022 |
Immersive interaction › augmented reality
handheld augmented reality |
0.6 | 1 | 2022 | Arrow, Bézier Curve, or Halos? - Comparing 3D Out-of-View Object Visualization Techniques for Handheld Augmented Reality · ISMAR 2022 |
Methods — techniques the papers use, named apart from their topics
user study · 1.1case study · 1.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Arrow, Bézier Curve, or Halos? - Comparing 3D Out-of-View Object Visualization Techniques for Handheld Augmented RealityabstractHandheld augmented reality (AR) applications allow users to interact with their virtually augmented environment on the screen of their tablet or smartphone by simply pointing its camera at nearby objects or “points of interest” (POIs). However, this often requires users to carefully scan their surroundings in search of POIs that are out of view. Proposed 2D guides for out-of-view POIs can, unfortunately, be ambiguous due to the projection of a 3D position to 2D screen space. We address this by using 3D visualizations that directly encode the POI’s 3D direction and distance. Based on related work, we implemented three such visualization techniques: (1) 3D Arrow, (2) 3D Bézier Curve, and (3) 3D Halos. We confirmed the applicability of these three techniques in a case study and then compared them in a user study, evaluating performance, workload, and user experience. Participants performed best using 3D Arrow, while surprisingly, 3D Halos led to poor results. We discuss the design implications of these results that can inform future 3D out-of-view object visualization techniques. Jonathan Wieland, Rudolf C. Hegemann Garcia, Harald Reiterer, Tiare M. Feuchtner |
ISMAR | 2 |