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AtomXR: Streamlined XR Prototyping with Natural Language and Immersive Physical Interaction

arXiv 2311.11238 ↗First posted 19 Nov 2023cs.HC cs.AIcited by 0

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Abstract (arXiv)

As technological advancements in extended reality (XR) amplify the demand for more XR content, traditional development processes face several challenges: 1) a steep learning curve for inexperienced developers, 2) a disconnect between 2D development environments and 3D user experiences inside headsets, and 3) slow iteration cycles due to context switching between development and testing environments. To address these challenges, we introduce AtomXR, a streamlined, immersive, no-code XR prototyping tool designed to empower both experienced and inexperienced developers in creating applications using natural language, eye-gaze, and touch interactions. AtomXR consists of: 1) AtomScript, a high-level human-interpretable scripting language for rapid prototyping, 2) a natural language interface that integrates LLMs and multimodal inputs for AtomScript generation, and 3) an immersive in-headset authoring environment. Empirical evaluation through two user studies offers insights into natural language-based and immersive prototyping, and shows AtomXR provides significant improvements in speed and user experience compared to traditional systems.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 4 of its 42 references that are in the map. First posted on arXiv 19 Nov 2023.

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References · 4

  1. 2020Language Models are Few-Shot Learnerscited by 32,419
  2. 2021Evaluating Large Language Models Trained on Codecited by 8,320
  3. 2023The Impact of AI on Developer Productivity: Evidence from GitHub Copilotcited by 274
  4. 2023AI-assisted coding: Experiments with GPT-4cited by 43

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