BernO: A Breath-Driven Odor Display for Spatial Olfactory Interaction in VR

要旨

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.

著者
Yu Zhang
Tsinghua University, Beijing, China
Chih-Hung Lee
Tsinghua University, Beijing, China
Jingtong Cai
The Future Laboratory,Tsinghua University, Building A, Shuangqing Complex, Haidian District, Beijing, China, China
Yaqing Hou
Tsinghua University, Beijing, China
Siqi Zheng
Tsinghua University, Beijing, China
Qianyao Xu
Tsinghua University, Beijing, China
Qi Lu
Tsinghua University, Beijing, China

会議: CHI 2026

ACM CHI Conference on Human Factors in Computing Systems

セッション: Embodied Interaction and Wearables

P1 - Room 133
7 件の発表
2026-04-15 18:00:00
2026-04-15 19:30:00