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Soyeong Yang

dblp:434/8575 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2026
0009-0000-5419-9412ORCID · reported

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 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
Haptics and multimodal interaction · 100%
Computer graphics and multimedia
1 paper
Computer animation and physical simulation · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Haptics and multimodal interaction
haptic rendering
1.012026
AquaHaptics: Hand-Based Multimodal Haptic Interactions for Immersive Virtual Underwater Experience · IEEE Trans. Vis. Comput. Graph. 2026
Haptics and multimodal interaction › haptics
virtual reality haptics
1.012026
AquaHaptics: Hand-Based Multimodal Haptic Interactions for Immersive Virtual Underwater Experience · IEEE Trans. Vis. Comput. Graph. 2026
Computer animation and physical simulation
fluid simulation
0.312026
AquaHaptics: Hand-Based Multimodal Haptic Interactions for Immersive Virtual Underwater Experience · IEEE Trans. Vis. Comput. Graph. 2026

Methods — techniques the papers use, named apart from their topics

pneumatic haptic glove · 2.0perception study · 2.0fluid force modeling · 2.0
YearPublicationVenuePosition
2026 AquaHaptics: Hand-Based Multimodal Haptic Interactions for Immersive Virtual Underwater Experience
abstract
With the advancement of haptic interfaces, recent studies have focused on enabling detailed haptic experiences in virtual reality (VR), such as fluid-haptic interaction. However, rendering forces from fluid contact often causes a high-cost computation. Given that motion-induced fluid feedback is crucial to the overall experience, we focus on hand-perceivable forces to enhance underwater haptic sensation by achieving high-fidelity rendering while considering human perceptual capabilities. We present a new multimodal (tactile and kinesthetic) haptic rendering pipeline. Here, we employ drag and added mass forces by dynamically adapting to the user's hand movement and posture with pneumatic-based haptic gloves. We defined decaying and damping effects to indicate fluid properties caused by inertia and confirmed their significant perceptual impacts compared to using only physics-based equations in a perception study. By modulating pressure variations, we reproduced fluid smoothness via exponential tactile deflation and light fluid mass via linear kinesthetic feedback. Our pipeline enabled richer and more immersive VR underwater experiences by accounting for precise hand regions and motion diversity.
Soyeong Yang, Sang Ho Yoon
IEEE Trans. Vis. Comput. Graph.1