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Lefan Lai

dblp:430/8317 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Immersive interaction
mixed reality interaction
1.012026
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
1.012026
Searching Through Complex Worlds: Visual Search and Spatial Regularity Memory in Mixed Reality · CHI 2026
Interaction techniques and input
visual search
1.012026
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
YearPublicationVenuePosition
2026 Searching Through Complex Worlds: Visual Search and Spatial Regularity Memory in Mixed Reality
abstract
Visual 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
CHI1