most citedNasoVoce: A Nose-Mounted Low-Audibility Speech Interface for Always-Available Speech Interaction

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cs.HC2026

Profy: Interpretable Visualization of Expertise-Dependent Motor Skills Toward Supporting Piano Practice

Kazuki Kawamura, Fujiki Nakamura, Hayato Nishioka +3

The quality of piano performance depends on nuanced timing, articulation, and dynamic control, but practice feedback is often summary-based and hard to act on. We introduce Profy,…

cs.HC20261 cited

NasoVoce: A Nose-Mounted Low-Audibility Speech Interface for Always-Available Speech Interaction

Jun Rekimoto, Yu Nishimura, Bojian Yang

Silent and whispered speech offer promise for always-available voice interaction with AI, yet existing methods struggle to balance vocabulary size, wearability, silence, and noise…

cs.HC2026

OpticalAging: Real-time Presbyopia Simulation for Inclusive Design via Tunable Lenses

Qing Zhang, Zixiong Su, Yoshihito Kondoh +5

Presbyopia, a common age-related vision condition affecting most people as they age, often remains inadequately understood by those unaffected. To help bridge the gap between abstr…

cs.HC2025

Panel-by-Panel Souls: A Performative Workflow for Expressive Faces in AI-Assisted Manga Creation

Qing Zhang, Jing Huang, Yifei Huang +1

Current text-to-image models struggle to render the nuanced facial expressions required for compelling manga narratives, largely due to the ambiguity of language itself. To bridge…

cs.HC2025

Look and Talk: Seamless AI Assistant Interaction with Gaze-Triggered Activation

Zhang Qing, Rekimoto Jun

Engaging with AI assistants to gather essential information in a timely manner is becoming increasingly common. Traditional activation methods, like wake words such as Hey Siri, Ok…

cs.HC2025

GazeLLM: Multimodal LLMs incorporating Human Visual Attention

Jun Rekimoto

Large Language Models (LLMs) are advancing into Multimodal LLMs (MLLMs), capable of processing image, audio, and video as well as text. Combining first-person video, MLLMs show pro…