VOI-VR: Voice-Driven Object Interaction in Virtual Reality with Large Language Models
摘要
This study explores the integration of voice interaction in virtual reality environments to enhance user engagement and accessibility. Utilizing the virtual reality headset, users can interact with 3D objects, such as selecting a cup hidden behind a flower vase, through voice commands instead of traditional controllers, which can be cumbersome in occluded scenarios. Leveraging advancements in large language models (LLMs), we enhance the processing of user voice input for more intuitive interactions. To evaluate effectiveness, we conducted a user study comparing object search and arrangement using controllers versus voice commands in a VR object-finding game. Results indicate that voice interaction significantly improves object identification speed and overall user satisfaction, demonstrating the potential for more immersive VR experiences through innovative interaction modalities.