arXiv:2504.17331v3 Announce Type: replace-cross Abstract: Locomotion plays a crucial role in shaping the user experience within virtual reality environments. In particular, hands-free locomotion offers a valuable alternative by supporting accessibility and freeing users from reliance on handheld controllers. To this end, traditional speech-based methods often depend on rigid command sets, limiting the naturalness and flexibility of interaction. In this study, we propose a novel locomotion technique powered by large language models (LLMs), which allows users to navigate virtual environments usi
The rapid advancement of large language models (LLMs) and their increasing sophistication makes their application to real-time, context-aware interaction in immersive environments now feasible.
This development could significantly enhance the accessibility and naturalness of interaction in virtual reality, moving beyond rigid command structures towards more intuitive user experiences.
Hands-free locomotion in VR is no longer limited to pre-defined commands, but can now be driven by flexible, context-aware language understanding, broadening the user base and potential applications.
- · VR/AR headset manufacturers
- · Metaverse developers
- · Accessibility tech companies
- · LLM developers
- · Traditional VR controller manufacturers (long term)
- · Developers reliant on rigid UX/UI
- · Speech recognition companies with limited contextual understanding
More intuitive and accessible VR experiences increase adoption rates for virtual environments.
The integration of LLMs for natural interaction in VR leads to new forms of content creation and narrative design within virtual worlds.
As VR becomes more accessible and natural through advanced locomotion, it penetrates new sectors like education, training, and remote collaboration, transforming workflows.
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Read at arXiv cs.AI