EmBARDiment: An Implicit Attention Framework that Enhances AI Interaction Efficiency in Extended Reality Through Eye-Tracking and Contextual Memory Integration

EmBARDiment: An Implicit Attention Framework that Enhances AI Interaction Efficiency in Extended Reality Through Eye-Tracking and Contextual Memory Integration

EmBARDiment: Enhancing AI Interaction Efficiency in Extended Reality

Transforming User Interaction with AI in XR Environments

Extended Reality (XR) technology merges physical and virtual worlds, creating immersive experiences. AI integration in XR aims to enhance productivity, communication, and user engagement.

Challenges in XR Environments

Optimizing user interaction with AI-driven chatbots in XR environments is a significant challenge. Traditional methods rely on explicit voice or text prompts, which can be cumbersome and counterintuitive in fully immersive environments.

Enhancing AI Interactions in XR

EmBARDiment leverages an implicit attention framework to enhance AI interactions in XR environments. It combines user eye-gaze data with contextual memory, making AI interactions more natural and intuitive.

Integration of Cutting-Edge Technologies

The EmBARDiment system integrates eye-tracking, gaze-driven saliency, and contextual memory to capture and utilize user focus within XR environments. It is designed to work seamlessly in multi-window XR environments.

Performance and User Satisfaction

Performance evaluations of the EmBARDiment system demonstrated substantial improvements in user satisfaction and interaction efficiency compared to traditional methods. The system outperformed baseline models across various metrics.

Evolve Your Company with AI

If you want to evolve your company with AI, stay competitive, and use EmBARDiment to redefine your way of work. Identify automation opportunities, define KPIs, select an AI solution, and implement gradually.

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