Demo Data from EDBT 2026 / reviewers in the wild / expert
Sebastian Rigling
dblp:117/6742
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2025
0000-0002-2732-6276ORCID · reported
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 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 · 44% Interaction techniques and input · 44% Usability and user experience research · 13% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Immersive interaction
augmented reality interaction |
0.9 | 1 | 2025 | Selection at a Distance Through a Large Transparent Touch Screen · IEEE Trans. Vis. Comput. Graph. 2025 |
Interaction techniques and input
pointing and selection |
0.9 | 1 | 2025 | Selection at a Distance Through a Large Transparent Touch Screen · IEEE Trans. Vis. Comput. Graph. 2025 |
Usability and user experience research
user study |
0.3 | 1 | 2025 | Selection at a Distance Through a Large Transparent Touch Screen · IEEE Trans. Vis. Comput. Graph. 2025 |
Methods — techniques the papers use, named apart from their topics
user study · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Selection at a Distance Through a Large Transparent Touch ScreenabstractLarge transparent touch screens (LTTS) have recently become commercially available. These displays have the potential for engaging Augmented Reality (AR) applications, especially in public and shared spaces. However, the interaction with objects in the real environment behind the display remains challenging: Users must combine pointing and touch input if they want to select objects at varying distances. There is a lot of work on wearable or mobile AR displays, but little on how users interact with LTTS. Our goal is to contribute to a better understanding of natural user interaction for these AR displays. To this end, we developed a prototype and evaluated different pointing techniques for selecting 12 physical targets behind an LTTS, with distances ranging from 6 to 401 cm. We conducted a user study with 16 participants and measured user preferences, performance, and behavior. We analyzed the change in accuracy depending on the target position and the selection technique used. Our findings include: (a) Users naturally align the touch point with their line of sight for targets farther than 36 cm behind the LTTS. (b) This technique provides the lowest angular deviation compared to other techniques. (c) Some user close one eye to improve their performance. Our results help to improve future AR scenarios using LTTS systems. Sebastian Rigling, Steffen Koch 0001, Dieter Schmalstieg, Bruce H. Thomas, Michael Sedlmair |
IEEE Trans. Vis. Comput. Graph. | 1 |