Author: SRI International
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SRI’s MIBA real-time behavior analytics system
The system is applicable to a wide variety off Human Computer Interaction applications including most recently, social interaction training through fluid life like interaction with Non-Player Characters in a virtual environment.
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“How to best say it?” : Translating Directives in Machine Language into Natural Language in the Blocks World
We propose a method to generate optimal natural language for block placement directives generated by a machine’s planner during human-agent interactions in the blocks world.
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The Apple and ConnectED Initiative: Three Case Stories
The Apple and ConnectED Initiative offered a unique opportunity to study technology adoption across a wide range of traditionally under-resourced communities
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Analysis of NAEP Mathematics Process, Outcome, and Survey Data to Understand Test-Taking Behavior and Mathematics Performance of Learners with Disabilities
This project uses innovative statistical and machine learning techniques to understand the differences in test-taking processes of students with and without disabilities.
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Evaluation of the Engage New England Initiative
Through its evaluation of the Engage New England initiative, SRI is helping the Barr Foundation and the broader education community better understand how to design and implement innovative schools for students who are off track to graduate high school.






