EDBT 2026 Demo / reviewers in the wild / expert
Sivanon Visutarporn
dblp:433/0751
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2026
0009-0008-3104-1485ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Human-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% Design research and methods · 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
multi-view visualization |
1.0 | 1 | 2026 | Beyond Links: Exploring Visual Representations of Multi-View Relations in Mixed Reality · CHI 2026 |
Design research and methods
design space |
0.3 | 1 | 2026 | Beyond Links: Exploring Visual Representations of Multi-View Relations in Mixed Reality · CHI 2026 |
Methods — techniques the papers use, named apart from their topics
systematic review · 2.0prototyping · 2.0codebook development · 2.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Beyond Links: Exploring Visual Representations of Multi-View Relations in Mixed RealityabstractThis paper investigates associations, explicit representations of relations between multiple views in Mixed Reality (MR). While research on 2D desktop environments offers extensive recommendations for communicating relations between multiple views, MR environments lack such systematic guidance, necessitating adapted solutions that consider their spatial affordances. To address this gap, we systematically explored association techniques in existing research. Building on established 2D multi-view literature and refining insights from prior design principles, we developed a codebook to describe view relations and their representations. Applying it to a corpus of 44 immersive multi-view approaches, we identified recurring design strategies and synthesized them into a design space of visual association techniques adapted for immersive contexts. Based on a lightweight prototyping framework, we validate the utility of the design space through three envisioning scenarios, demonstrating how associations can support exploration, coordination, and sensemaking in MR applications. Our results inform the design of MR multi-view environments. Weizhou Luo, Rufat Rzayev, Benjamin Russig, Sivanon Visutarporn, Marc Satkowski, Stefan Gumhold, Raimund Dachselt |
CHI | 4 |