デジタルハンドによるVR操作を実現(This digital hand enables hands-free virtual reality)

2025-10-13 ミシガン大学

ミシガン大学の研究チームは、音声で仮想物体を操作できる「デジタルハンド(HandProxy)」を開発した。ユーザーが「つかむ」「移動」など自然な指示を出すと、AIが意図を解釈して仮想の手が自律的に動作する。GPT-4oを応用することで、中間操作を省略して複雑なタスクを実行できる点が特徴。実験では、手を使わずにVR環境内のタスク完了時間を短縮し、身体負荷を大幅に軽減した。身体障害者や両手がふさがる状況でも操作可能で、既存アプリを改修せず導入できる。音声曖昧時の誤認識は課題だが、VR/AR体験の新たなインターフェースとして期待される。

デジタルハンドによるVR操作を実現(This digital hand enables hands-free virtual reality)
Yuxuan Liu (left with headset), a doctoral student in computer science and engineering, and Chen Liang (right), another doctoral student of computer science and engineering, demonstrate how HandProxy follows voice commands inside a demo app. Image credit: Marcin Szczepanski, Michigan Engineering

<関連情報>

HandProxy: 仮想プロキシハンドによる没入型環境における音声インターフェースのアフォーダンスの拡張 HandProxy: Expanding the Affordances of Speech Interfaces in Immersive Environments with a Virtual Proxy Hand

Chen Liang, Yuxuan Liu, Martez Mott, Anhong Guo
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies  Published: 03 September 2025
DOI:https://doi.org/10.1145/3749484

Abstract

Hand interactions are increasingly used as the primary input modality in immersive environments, but they are not always feasible due to situational impairments, motor limitations, and environmental constraints. Speech interfaces have been explored as an alternative to hand input in research and commercial solutions, but are limited to initiating basic hand gestures and system controls. We introduce HandProxy, a system that expands the affordances of speech interfaces to support expressive hand interactions. Instead of relying on predefined speech commands directly mapped to possible interactions, HandProxy enables users to control the movement of a virtual hand as an interaction proxy, allowing them to describe the intended interactions naturally while the system translates speech into a sequence of hand controls for real-time execution. A user study with 20 participants demonstrated that HandProxy effectively enabled diverse hand interactions in virtual environments, achieving a 100% task completion rate with an average of 1.09 attempts per speech command and 91.8% command execution accuracy, while supporting flexible, natural speech input with varying levels of control and granularity.

1600情報工学一般
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