Buntarou Shizuki

schoolUniversity of Tsukubabar_chart#2439 Global Rank

Total Papers

HCI Rank

#2439

Research Areas

Years Active

Recent Publications

Walking Through or Detour? Investigating Walking Paths with World‑Anchored Mixed Reality Objects

In mixed reality environments, virtual objects can obscure real-world obstacles, creating a risk of collision when users walk through them. Although users may choose to detour around virtual objects, this behavior also carries risks, such as colliding with obstacles or pedestrians along the detour route. To reduce col…

CHI '26CorrespondingHaptic Wearables +2

Bevel or Not: Identifying the Potential of Bevels for Touch Input Accuracy on Ring Device

Smart rings can serve as a wearable platform for off-device control of nearby devices. However, their thin bands lead to a small touch surface on the ring, limiting touch input expressivity and accuracy. To address this, we investigate the effectiveness of ring shapes that use beveled surfaces in addition to the flat…

CHI '254th AuthorHaptic Wearables +1

FlexEar-Tips: Shape-Adjustable Ear Tips Using Pressure Control

We introduce FlexEar-Tips, a dynamic ear tip system designed for the next-generation hearables. The ear tips are controlled by an air pump and solenoid valves, enabling size adjustments for comfort and functionality. FlexEar-Tips includes an air pressure sensor to monitor ear tip size, allowing it to adapt to environm…

UIST '244th AuthorBest PaperIn-Vehicle Haptic, Audio & Multimodal Feedback +1

EarHover: Mid-Air Gesture Recognition for Hearables Using Sound Leakage Signals

We introduce EarHover, an innovative system that enables mid-air gesture input for hearables. Mid-air gesture input, which eliminates the need to touch the device and thus helps to keep hands and the device clean, has been known to have high demand based on previous surveys. However, existing mid-air gesture input met…

UBICOMP '23CorrespondingPasswords & Authentication

User Authentication Method for Hearables Using Sound Leakage Signals

We propose a novel biometric authentication method that leverages sound leakage signals from hearables that are captured by an external microphone. A sweep signal is played from hearables, and sound leakage is recorded using an external microphone. This sound leakage signal represents the acoustic characteristics of t…

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