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Multimodal Interaction Patterns(MMIP)
Advanced multimodal agent interaction patterns integrating voice, visual, gesture, and text communication seamlessly
In 30 seconds
- What
- Agent accepts input across voice, text, gesture, and visual channels, switching modalities based on context and user state.
- When to use
- Applications requiring hands-free or eyes-free operation, noisy environments, or users with varying accessibility needs.
- Watch out
- Latency and synchronization failures across modalities create frustration faster than single-channel delays.
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Multimodal Interaction Patterns: Overview
Advanced multimodal agent interaction patterns integrating voice, visual, gesture, and text communication seamlessly
- Context-aware modality selection and automatic switching
- Voice-visual-text integration with natural transitions
- Gesture recognition and multimodal input processing
- Emotional adaptation and real-time user state assessment
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References
The papers, specifications, and repositories this pattern is based on.
- Multimodal Machine Learning: A Survey and Taxonomy (Baltrušaitis et al., 2018)
- Attention Is All You Need - Transformer Architecture (Vaswani et al., 2017)arXiv:1706.03762
- Learning Transferable Visual Models From Natural Language SupervisionarXiv:2103.00020
- Multimodal Deep Learning for Human Communication (Ngiam et al., 2011)
- Google Multimodal AI - Gemini Integration Patterns
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