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Implicit Multimodal Cues and Adaptive Feedback for InTelligent Wearable Assistants on Augmented Reality Smart Glasses

CORDIS · observation · Publication date unknown

assistants, with forecasts predicting 13.8 million devices in use by 2030. Their hands-free, semi-transparent displays allow digital content to blend seamlessly with the physical world. Coupled with Artificial Intelligence (AI) and Machine Learning (ML), they evolve into Intelligent Wearable Assistants (IWAs) that reduce errors, lower cognitive workload, and provide scalable expert-level support across everyday activities. Yet today's IWAs are constrained by outdated interaction techniques. They rely mainly on speech-based dialogues adapted from desktop and mobile computing, neglecting natural modalities such as gaze and gesture. While some interfaces adapt to context, they rarely consider users’ cognitive or emotional states—limiting personalization and effectiveness. This project, IMPACT-IWA (Implicit Multimodal Cues and Adaptive Feedback for InTelligent Wearable Assistants), will transform IWA interactions through three objectives: 1) harness implicit multimodal cues (e.g., gaze, gestures) for fluid interaction in dynamic contexts; 2) design adaptive user interfaces that resp

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recordType

award

status

SIGNED

region

EU

value

242260.56

unit

EUR