VR-GPT: インテリジェントなVRアプリケーションのための視覚言語モデル
VR-GPT: Visual Language Model for Intelligent Virtual Reality Applications
Unity上に視覚言語モデルを組み込み、音声対話でVR内のユーザーをタスクへ誘導するシステムを開発し、従来のVR操作より作業時間短縮と快適性向上を示した。
著者: Mikhail Konenkov, Artem Lykov, Daria Trinitatova, Dzmitry Tsetserukou
分類: cs.RO, cs.AI, cs.ET
原文アブストラクト
The advent of immersive Virtual Reality applications has transformed various domains, yet their integration with advanced artificial intelligence technologies like Visual Language Models remains underexplored. This study introduces a pioneering approach utilizing VLMs within VR environments to enhance user interaction and task efficiency. Leveraging the Unity engine and a custom-developed VLM, our system facilitates real-time, intuitive user interactions through natural language processing, without relying on visual text instructions. The incorporation of speech-to-text and text-to-speech technologies allows for seamless communication between the user and the VLM, enabling the system to guide users through complex tasks effectively. Preliminary experimental results indicate that utilizing VLMs not only reduces task completion times but also improves user comfort and task engagement compared to traditional VR interaction methods.
