AWARE-AI Trainees are mentored by faculty to advance human-sensing AI in four tracks:

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Software investigates machine learning innovations for AI systems to process multimodal-heavy information as flexible as humans, to enhance interaction systems.

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Hardware advances human-robot collaboration and efficient AI on the edge to improve human trust, safety, and comfort in manufacturing environments.

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Human-computer interaction

Human-computer interaction designs methods for usable, accessible AI-based speech technology systems for older adults with hearing loss.

person using ASL with faculty members.

Cognitive modeling

Cognitive modeling extends human cognition research to understudied populations across the human lifespan or with disabilities toward catalyzing AI technology.

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This material is based upon work supported by the National Science Foundation under Award No. DGE-2125362. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.