Demo Data from VLDB 2026 / reviewers in the wild / expert
Lefan Lai
dblp:430/8317
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2026
0009-0006-0281-4077ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Human-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.
| Human-computer interaction and pervasive computing
1 paper |
Immersive interaction · 30% Interaction techniques and input · 30% Human-robot interaction · 30% |
Topics — the 3 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Immersive interaction
mixed reality interaction |
1.0 | 1 | 2026 | Searching Through Complex Worlds: Visual Search and Spatial Regularity Memory in Mixed Reality · CHI 2026 |
Human-robot interaction › cognitive human-robot interaction › spatial cognition
spatial memory |
1.0 | 1 | 2026 | Searching Through Complex Worlds: Visual Search and Spatial Regularity Memory in Mixed Reality · CHI 2026 |
Interaction techniques and input
visual search |
1.0 | 1 | 2026 | Searching Through Complex Worlds: Visual Search and Spatial Regularity Memory in Mixed Reality · CHI 2026 |
Methods — techniques the papers use, named apart from their topics
user study · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Searching Through Complex Worlds: Visual Search and Spatial Regularity Memory in Mixed RealityabstractVisual search is a core component of mixed reality (MR) interactions, influenced by the complexities of MR application contexts. In this paper, we investigate how prevalent factors in MR influence visual search performance and spatial regularity memory -- including the physical environment complexity, secondary task presence, virtual content depth and spatial layout configurations. Contrary to prior work, we found that the secondary auditory task did not have a significant main effect on visual search performance, while significantly elevating higher perceived workload measures in all conditions. Complex environments and varied virtual elements depths significantly hinder visual search, but did not significantly increase perceived workload measures. Finally, participants did not explicitly recognize repeated spatial configurations of virtual elements, but performed significantly better when searching repeated spatial configurations, suggesting implicit memory of spatial regularities. Our work presents novel insights on visual search and highlights key considerations when designing MR for different application contexts. Lefan Lai, Tinghui Li 0001, Zhanna Sarsenbayeva, Brandon Victor Syiem |
CHI | 1 |