OrbitText: A Hybrid Prediction System for Efficient and Effortless Text Entry in Virtual Reality
Text entry in virtual reality (VR) is a common task, however, it is often hindered by low typing efficiency and physical fatigue. To address these challenges, we present OrbitText, a novel text entry system for VR environments. OrbitText features a dual-handed, minimal-motion 3D interface and integrates an innovative typing prediction model that combines large language models (LLMs) with n-gram models. Our design aims to minimize physical strain while enhancing typing efficiency. User studies demonstrate that OrbitText significantly outperforms mainstream virtual keyboards, achieving higher efficiency, reduced fatigue, and a lower perceived task load.
Authors
- Xiaonuo Dongye (ORCID: https://orcid.org/0000-0002-9521-3302)
- Dongdong Weng (ORCID: https://orcid.org/0000-0003-2352-0896)
- Zihao Li (ORCID: https://orcid.org/0000-0001-9008-1681)
- Jie Hao (ORCID: https://orcid.org/0000-0003-1730-4847)
- Xu Qi
Institutions
- Beijing Institute of Technology (CN)
Publication Details
- Published
- 2025-03-08
- DOI
- https://doi.org/10.1109/vrw66409.2025.00351
- Primary Topic
- Human Motion and Animation
- Type
- article
- Field-Weighted Citation Impact
- 0.00