Industries worldwide are grappling with the dual challenges of an aging workforce and the imperative for digital transformation. This creates immense pressure to optimize human-machine interaction and streamline complex workflows. Traditional AR solutions, while promising, often fail to deliver on productivity gains due to cognitive overload. This technology's ability to provide non-intrusive, context-aware information is critical for maintaining worker focus and accelerating adoption of AR in high-stakes environments, ensuring competitive advantage for companies that prioritize both efficiency and user experience.
Ensures natural information presentation by dynamically identifying non-gaze areas in external video to display virtual objects, without disturbing user concentration.
Significantly improves visibility by ensuring temporal continuity of virtual object display positions, avoiding user confusion from abrupt changes and providing a smooth AR experience.
Establishes a unique AR user interface difficult for competitors to replicate, as only two prior art documents were cited by the examiner, highlighting the technology's high originality.
This patent protects a unique AR display algorithm that dynamically identifies non-gaze areas and ensures temporal continuity for virtual object placement. With only two prior art documents cited by the examiner, its novelty and inventiveness were highly recognized, leading to a strong, broad claim set (7 claims) that is robust against invalidation and offers strong defensive capabilities in potential infringement litigation.
This patent primarily protects the AR display algorithm. White space exists in developing novel AR content generation methods, specialized AR hardware, or specific application-layer solutions that leverage this display technique.
This technology could reduce work interruption time for tasks requiring remote support or information reference. For example, if 100 workers are interrupted for 10 minutes daily, a 20% reduction in interruption time could yield an annual saving of ~$133.5K (AI est.), based on an assumed time value. An additional ~$33.5K (AI est.) could be saved by reducing training costs.
X: Natural Information Display
Y: User Concentration Maintenance