Page 3: Research news on Human-centered AI interfaces

Human-centered AI interfaces encompass computational systems that use machine learning, generative models, and multimodal sensing to mediate, augment, or interpret human communication and behavior. Work in this area spans assistive communication for speech, hearing, and motor impairments, real-time sign language and speech technologies, and social robots that adapt behavior and express empathy. Vision-language models and video analytics support long-video reasoning, activity recognition, and error detection, while interactive agents, privacy-aware speech systems, and affect-sensitive tools enable more accessible, expressive, and context-aware human–AI interaction across physical and virtual environments.

Hi Tech & Innovation

AI museum brings sights, sounds and smells of the rainforest

The squawks of macaws, the smell of wet earth after rain and a swirl of colors will transport visitors from a Los Angeles museum to the heart of the Amazon rainforest—or rather, an AI version of it.

Robotics

Could AI tell you where you left your keys?

An auto factory worker can remember the storage bin where she left a partly assembled component the night before and quickly return to that spot to pick it up. But robots that may work side by side with her would struggle ...

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