Demo Data from EDBT 2026 / reviewers in the wild / expert
Olivier Gladin
dblp:264/7493
· DBLP profile ↗
3ranked-venue papers
0as first author
2since 2021 · last 2025
0009-0007-5810-6704ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 2 · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 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
2 papers |
Haptics and multimodal interaction · 46% User interface design and tools · 23% Collaborative and social computing · 23% | |
| Computer graphics and multimedia
1 paper |
Visualization and visual analytics · 100% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Visualization and visual analytics › visual analytics › interactive visual analysis
collaborative visual analytics |
0.9 | 1 | 2025 | Talk to the Wall: The Role of Speech Interaction in Collaborative Visual Analytics · IEEE Trans. Vis. Comput. Graph. 2025 |
Haptics and multimodal interaction
multimodal interaction |
0.9 | 1 | 2025 | Talk to the Wall: The Role of Speech Interaction in Collaborative Visual Analytics · IEEE Trans. Vis. Comput. Graph. 2025 |
Collaborative and social computing
collaborative design |
0.4 | 1 | 2020 | Investigating Collaborative Exploration of Design Alternatives on a Wall-Sized Display · CHI 2020 |
User interface design and tools › display technology
wall-sized display |
0.4 | 1 | 2020 | Investigating Collaborative Exploration of Design Alternatives on a Wall-Sized Display · CHI 2020 |
Interaction techniques and input
touch interaction |
0.1 | 1 | 2020 | Investigating Collaborative Exploration of Design Alternatives on a Wall-Sized Display · CHI 2020 |
Methods — techniques the papers use, named apart from their topics
technology probe · 1.7exploratory study · 1.7usability study · 0.4controlled experiment · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Investigating Hand-Bound Pads for AR Input Using Hand-Tracking Only MHCI018abstractInteraction in Augmented Reality primarily relies on raycast pointing and mid-air touch. An alternative consists of using the non-dominant hand as a touch-sensitive surface, enabling more comfortable, less fatiguing input. AR UI design guidelines have so far discouraged this alternative because of poor hand tracking performance when the hands overlap, favoring touchpads in the air near the hand, rather than on the hand. But significant improvements to the hand tracking capabilities of recent commodity headsets suggest that on-hand pads may now be feasible. We develop an on-hand touchpad prototype and conduct two studies that involve both discrete input and continuous control tasks. The first study compares such on-hand pads to baseline in-air and on-object pads, showing comparable performance despite some limitations in tracking accuracy. The second study quantifies the advantage of on-hand and in-air pads over on-object pads during transitions between touchpad input and other physical hand activities. Camille Dupré, Emmanuel Pietriga, Olivier Gladin, Stéphanie Rey, Houssem Saidi, Caroline Appert |
Proc. ACM Hum. Comput. Interact. | 3 |
| 2025 | Talk to the Wall: The Role of Speech Interaction in Collaborative Visual AnalyticsabstractWe present the results of an exploratory study on how pairs interact with speech commands and touch gestures on a wall-sized display during a collaborative sensemaking task. Previous work has shown that speech commands, alone or in combination with other input modalities, can support visual data exploration by individuals. However, it is still unknown whether and how speech commands can be used in collaboration, and for what tasks. To answer these questions, we developed a functioning prototype that we used as a technology probe. We conducted an in-depth exploratory study with 10 participant pairs to analyze their interaction choices, the interplay between the input modalities, and their collaboration. While touch was the most used modality, we found that participants preferred speech commands for global operations, used them for distant interaction, and that speech interaction contributed to the awareness of the partner's actions. Furthermore, the likelihood of using speech commands during collaboration was related to the personality trait of agreeableness. Regarding collaboration styles, participants interacted with speech equally often whether they were in loosely or closely coupled collaboration. While the partners stood closer to each other during close collaboration, they did not distance themselves to use speech commands. From our findings, we derive and contribute a set of design considerations for collaborative and multimodal interactive data analysis systems. All supplemental materials are available at https://osf.io/8gpv2. Gabriela Molina León, Anastasia Bezerianos, Olivier Gladin, Petra Isenberg |
IEEE Trans. Vis. Comput. Graph. | 3 |
| 2020 | Investigating Collaborative Exploration of Design Alternatives on a Wall-Sized DisplayabstractIndustrial design review is an iterative process which mainly relies on two steps involving many stakeholders: design discussion and CAD data adjustment. We investigate how a wall-sized display could be used to merge these two steps by allowing multidisciplinary collaborators to simultaneously generate and explore design alternatives. We designed ShapeCompare based on the feedback from a usability study. It enables multiple users to compute and distribute CAD data with touch interaction. To assess the benefit of the wall-sized display in such context, we ran a controlled experiment which aims to compare ShapeCompare with a visualization technique suitable for standard screens. The results show that pairs of participants performed a constraint solving task faster and used more deictic instructions with ShapeCompare. From these findings, we draw generic recommendations for collaborative exploration of alternatives. Yujiro Okuya, Olivier Gladin, Nicolas Ladeveze, Cédric Fleury, Patrick Bourdot |
CHI | 2 |