Demo Data from SIGIR 2026 / reviewers in the wild / expert
Zhengyu Lou
dblp:400/9069
· DBLP profile ↗
3ranked-venue papers
1as first author
3since 2021 · last 2026
—ORCID · conflict
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 2 · 2 since 2021Applied, interdisciplinary, general and emerging 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 |
Interaction techniques and input · 50% Haptics and multimodal interaction · 50% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Interaction techniques and input › gesture input
mid-air gesture interaction |
0.9 | 1 | 2025 | Mid-Air Gestures for Proactive Olfactory Interactions in Virtual Reality · CHI 2025 |
Haptics and multimodal interaction › multimodal interaction
olfactory interaction |
0.9 | 1 | 2025 | Mid-Air Gestures for Proactive Olfactory Interactions in Virtual Reality · CHI 2025 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | NutMuse: Inspiring Creative Ideation for Nut Carving with GenAI
Zhengyu Lou, Yanan Wang 0005, Bosheng Qin, Wentao Ye |
ICIC (16) | 1 |
| 2025 | Mid-Air Gestures for Proactive Olfactory Interactions in Virtual Reality
Junxian Li 0002, Yanan Wang 0005, Zhitong Cui, Jas Brooks, Zhengyu Lou |
CHI | 6 |
| 2025 | OdorCarousel : A Design Tool for Customizing Smell-Enhanced Virtual ExperiencesabstractThis work aims to explore the application potential of utilizing the rich medium of olfaction in Immersive Virtual Experiences (IVEs) by engaging a broader range of non-expert users. Considering the inherent properties of scent (e.g., the absence of base odors and storage challenges) and the diverse application demands in IVEs, we introduce OdorCarousel. This design tool encompasses (1) a tiny, lightweight odor-emitting device that integrates with VR headsets and can store 25 distinct aromas. We conducted user-involved technical tests on scent release performance, focusing on identifying odor type, intensity, and transitions. (2) Based on two types of smell interactions in IVEs (active and passive), we devised and implemented three Unreal Engine-based olfactory interaction blueprints and user interfaces facilitating design. A case study illustrates the operation and design process of using OdorCarousel. We recruited 17 participants for a workshop-based user study, successfully executing six concept designs validating the usability and feasibility of OdorCarousel. Finally, we analyzed the design results and the olfactory interaction intentions, discussing the multi-dimensional potential and considerations of smell-enhanced virtual experiences and OdorCarousel, providing design guidance for future works. Yanan Wang 0005, Zhengyu Lou, Yujing Tian, Qingjun Chen |
Int. J. Hum. Comput. Interact. | 4 |