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Pei-Chin Hsu

dblp:401/6553 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Virtual and augmented reality
immersive interaction
0.912025
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
0.912025
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
YearPublicationVenuePosition
2025 Comparative Evaluation of Differing Levels of Information Presentation in 3D Mini-Maps on Spatial Knowledge Acquisition in VR
abstract
Maps 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
VR1