Demo Data from SIGIR 2026 / reviewers in the wild / expert
Pei-Chin Hsu
dblp:401/6553
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2025
—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.
| Computer graphics and multimedia
1 paper |
Virtual and augmented reality · 87% Visualization and visual analytics · 13% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Virtual and augmented reality
immersive interaction |
0.9 | 1 | 2025 | Comparative Evaluation of Differing Levels of Information Presentation in 3D Mini-Maps on Spatial Knowledge Acquisition in VR · VR 2025 |
Virtual and augmented reality › spatial cognition
spatial knowledge acquisition |
0.9 | 1 | 2025 | Comparative Evaluation of Differing Levels of Information Presentation in 3D Mini-Maps on Spatial Knowledge Acquisition in VR · VR 2025 |
Methods — techniques the papers use, named apart from their topics
comparative user study · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Comparative Evaluation of Differing Levels of Information Presentation in 3D Mini-Maps on Spatial Knowledge Acquisition in VRabstractMaps have long been a favored tool for navigation in both physical and virtual environments. As a navigation aid in virtual reality, map content and appearance can differ significantly. In this paper, three mini-maps are addressed: the WiM-3DMap, which provides a standard World-in-Miniature of the city model; the novel UC-3DMap, featuring important landmarks alongside ordinary buildings within the user’s vicinity; and the LM-3DMap, presenting only important landmarks. These mini-maps offer varying levels of building detail, potentially affecting spatial knowledge acquisition performance in diverse ways. A comparative study was conducted to evaluate the effectiveness of WiM-3DMap, UC-3DMap, LM-3DMap, and a baseline condition without a mini-map in spatial tasks such as spatial updating, landmark recall, landmark placement, and route recall. The findings demonstrated that LM-3DMap and UC-3DMap outperform WiM-3DMap in the tasks of spatial updating, landmark placement and route recall. However, the absence of detailed local context around the user may impede the effectiveness of LM-3DMap, as evidenced by UC-3DMap’s superior performance in the landmark placement task. These findings underscore the differences in effectiveness among various mini-maps that present distinct levels of building detail. A key conclusion is that including ordinary building information in the user’s immediate surroundings can significantly enhance the performance of a mini-map relying solely on landmarks. Pei-Chin Hsu, Sabarish V. Babu, Jung-Hong Chuang |
VR | 1 |