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Jingtong Cai

dblp:433/0787 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2026
0009-0009-3401-5036ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 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
Haptics and multimodal interaction · 44% Immersive interaction · 44% Wearable and physiological sensing · 13%

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

TopicWeightPapersLastEvidence papers
Haptics and multimodal interaction › multimodal interaction
olfactory interaction
1.012026
BernO: A Breath-Driven Odor Display for Spatial Olfactory Interaction in VR · CHI 2026
Immersive interaction
virtual reality interaction
1.012026
BernO: A Breath-Driven Odor Display for Spatial Olfactory Interaction in VR · CHI 2026
Wearable and physiological sensing › vital sign monitoring
breathing sensing
0.312026
BernO: A Breath-Driven Odor Display for Spatial Olfactory Interaction in VR · CHI 2026

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

proof-of-concept evaluation · 1.0
YearPublicationVenuePosition
2026 BernO: A Breath-Driven Odor Display for Spatial Olfactory Interaction in VR
abstract
We present a breath-driven odor display device that enables spatial odor perception in virtual reality, relying on users’ natural inhalation rather than pumps or fans. The device supports rapid concentration adjustment through two models: a continuous gradient (monotonic concentration change with position) and a plume (intermittent, fluctuating patterns resembling natural dispersal). To explore its potential, we conducted a proof-of-concept evaluation across four tasks: concentration discrimination, direction and distance localization, and integrated position searching. Results show that the device can dynamically modulate odor concentration for spatial olfactory perception. Our findings further reveal complementary strengths and limitations of the two models—gradients support stable, precise cues, whereas plumes better emulate natural variability. This work introduces a simple yet effective method for simulating spatial odor experiences in VR, offering a lightweight, energy-efficient pathway that expands the design space for olfactory interaction research in virtual environments.
Yu Zhang 0001, Chih-Hung Lee, Jingtong Cai, Yaqing Hou, Qianyao Xu, Qi Lu 0001
CHI3