EDBT 2026 Demo / reviewers in the wild / expert
Sanyi Jin
dblp:403/7973
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2025
0009-0009-6565-552XORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 1 · 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 · 87% Haptics and multimodal interaction · 13% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Immersive interaction › virtual reality › cybersickness
cybersickness mitigation |
0.9 | 1 | 2025 | Measuring Human Perception of Airflow for Natural Motion Simulation in Virtual Reality · IEEE Trans. Vis. Comput. Graph. 2025 |
Immersive interaction › self-motion perception
vection |
0.9 | 1 | 2025 | Measuring Human Perception of Airflow for Natural Motion Simulation in Virtual Reality · IEEE Trans. Vis. Comput. Graph. 2025 |
Haptics and multimodal interaction › tactile display
wind display |
0.3 | 1 | 2025 | Measuring Human Perception of Airflow for Natural Motion Simulation in Virtual Reality · IEEE Trans. Vis. Comput. Graph. 2025 |
Methods — techniques the papers use, named apart from their topics
user study · 0.9cross-modal matching · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Measuring Human Perception of Airflow for Natural Motion Simulation in Virtual RealityabstractAirflow is recognized as an effective method for inducing the illusion of self-motion (vection) and reducing motion sickness in virtual reality. However, the quantitative relationship between virtual motion and the airflow perceived as consistent with it has not been fully explored. To address this gap, this study conducted three experiments. In Experiment 1, we carried out a series of cross-modal matching tasks to establish the relationship between the speed of virtual motion and the airflow speed perceived as consistent with it, revealing a strong linear correlation. In Experiment 2, we introduced the concept of an "Airflow Gradient" to simulate the bodily sensation of curvilinear motion and examined the relationship between the radius and angular velocity of the motion and the difference in airflow speed between the left and right sides. The results indicated a linear relationship between the radius and the left-right airflow speed difference, while the angular velocity showed a near-quadratic pattern, similar to the centripetal acceleration formula. Based on these findings, Experiment 3 developed a dynamic airflow scheme and compared it with constant airflow and no-airflow conditions during locomotion tasks in a complex urban environment. The results demonstrated that dynamic airflow, which ensures consistency between visual and bodily vection, further reduces motion sickness, enhances presence, and provides a more natural and consistent virtual motion experience. Yu Cai 0014, Sanyi Jin, Daiwei Yang, Han Tu, Preben Hansen, Lingyun Sun, Liuqing Chen 0002 |
IEEE Trans. Vis. Comput. Graph. | 2 |