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How To Help Humans Understand Robots

Researchers are applying different learning theories to help humans understand robots. ....

Sarah Chung , Julie Shah , Elena Glassman , Sanjana Sharma , Artificial Intelligence Laboratory , Harvard University , Interactive Robotics Group , Interactive Robotics Group Of The Computer Science , National Science Foundation , Harvard Johna Paulson School Of Engineering , Serena Booth , Computer Science , Applied Sciences , National Science ,

How to help humans understand robots

Researchers from MIT and Harvard suggest that applying theories from cognitive science and educational psychology to the area of human-robot interaction can help humans build more accurate mental models of their robot collaborators, which could boost performance and improve safety in cooperative workspaces. ....

Sarah Chung , Julie Shah , Elena Glassman , Sanjana Sharma , Artificial Intelligence Laboratory , Harvard University , Interactive Robotics Group , Interactive Robotics Group Of The Computer Science , National Science Foundation , Harvard Johna Paulson School Of Engineering , Serena Booth , Computer Science , Applied Sciences , National Science , Julie Shah , Human Robot Interaction ,

How to help humans understand robots - ScienceBlog.com

Scientists who study human-robot interaction often focus on understanding human intentions from a robot’s perspective, so the robot learns to cooperate ....

Sarah Chung , Julie Shah , Elena Glassman , Sanjana Sharma , Artificial Intelligence Laboratory , Harvard University , Interactive Robotics Group , Interactive Robotics Group Of The Computer Science , National Science Foundation , Harvard Johna Paulson School Of Engineering , Serena Booth , Computer Science , Applied Sciences , National Science ,

Covid has reset relations between people and robots

Machines will do the nasty jobs; human beings the nice ones | Science & technology ....

United States , San Diego , South Korea , Henrik Christensen , Julie Shah , Michelle Johnson , University Of California , Massachusetts Institute Of Technology , Rehabilitation Robotics Lab , Contextual Robotics Institute , American Association For The Advancement Of Science , University Of Pennsylvania , Interactive Robotics Group , International Federation Of Robotics , International Federation , American Association , Massachusetts Institute ,

How well do explanation methods for machine-learning models work?

Feature-attribution methods are used to determine if a neural network is working correctly when completing a task like image classification. MIT researchers developed a way to evaluate whether these feature-attribution methods are correctly identifying the features of an image that are important to a neural network’s prediction. ....

Yilun Zhou , Julie Shah , Marco Tulio Ribeiro , Microsoft Research , Artificial Intelligence Laboratory , Interactive Robotics Group , National Science Foundation , Computer Science , Serena Booth , National Science , Explainable Artificial Intelligence , Eature Attribution , Image Classification ,