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Platform for Situated Intelligence
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We introduce Platform for Situated Intelligence, an open-source framework created to support the rapid development and study of multimodal, integrative-AI systems. The framework provides infrastructure for sensing, fusing, and making inferences from temporal streams of data across different modalities, a set of tools that enable visualization and debugging, and an ecosystem of components that encapsulate a variety of perception and processing technologies. These assets jointly provide the means for rapidly constructing and refining multimodal, integrative-AI systems, while retaining the efficiency and performance characteristics required for deployment in open-world settings.
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Cited by 2 Pith papers
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An Interaction Design Toolkit for Physical Task Guidance with Artificial Intelligence and Mixed Reality
A design toolkit for AI-plus-mixed-reality physical task guidance: six design considerations, 36 design patterns, and an interaction canvas, derived from student prototypes and tested in a small user study.
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Evaluating Joint Attention for Mixed-Presence Collaboration on Wall-Sized Displays
A head-tracking based method quantifies joint attention for four people across two rooms on wall-sized displays, with preliminary evidence that gaze correlates among collaborators.
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