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AI-Powered Immersive Assistance for Interactive Task Execution in Industrial Environments
This demo paper presents an AI-powered immersive assistance system that helps users perform complex industrial tasks. Our VR-based digital twin simulates complex machinery, and by processing expert video and speech with AI models, it provides step-by-step guidance. This proof-of-concept demonstrates potential benefits like reduced cognitive load, increased productivity, and enhanced safety in industrial environments.
Tomislav Đuričić
,
Peter Müllner
,
Nicole Weidinger
,
Neven ElSayed
,
Dominik Kowald
,
Eduardo Veas
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DDIA - Data Driven Immersive Analytics
Research project enhancing digital twin interactions and immersive analytics using personalized AI, AR/VR interfaces, and physiological sensing for improved remote collaboration, support, and training in industry.
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