Parents want the best for their children's education and often complain about large class sizes and the lack of individual attention. Working in the Personal Robots Group at MIT, Goren Gordon, an artificial intelligence researcher from Tel Aviv University, was part of a team that developed a socially assistive robot called Tega that is designed to serve as a one-on-one peer learner in or outside of the classroom. The Personal Robots Group is led by Cynthia Breazeal. Find out more in this news release.
Credit: Personal Robots Group, MIT Media Lab
Infants constantly explore their environments, toddling and crawling around while at the same time laying the cognitive foundation that they'll use for learning later in life. But how can parents and doctors foster that kind of development in infants with mobility issues? A research team from the University of Delaware, led by physical therapy professor Cole Galloway, is working on solutions to help infants with walking and crawling issues have the kinds of exploration experiences that help with cognitive development at an early age. Find out more in this discovery.
Credit: National Science Foundation
The Division of Information and Intelligent Systems (IIS) of the Computer and Information Science and Engineering Directorate (CISE) studies the inter-related roles of people, computers and information. IIS supports research and education activities that develop new knowledge about the role of people in the design and use of information technology; increase the capability to create, manage, and understand data and information in circumstances ranging from personal computers to globally-distributed systems; and advance an understanding of how computational systems can exhibit the hallmarks of intelligence.
Bing Wang, associate professor of computer science and engineering at the University of Connecticut, has developed a new phone app that screens for depression with 24-hour monitoring of speech, walking pace and other behavioral cues.
April 4, 2016
Computational behavioral science develops tools, methods to reach children with autism
Researchers develop a range of new sensors and other tools to gauge emotional responses and behavior of children with developmental disorders
Lexie is an active, healthy 2-year-old and already lending a hand, or more specifically her wrist, to science. She's helping researchers test sensors designed to gauge something particularly difficult to measure scientifically -- emotional responses. The wrist sensor Lexie is wearing provides immediate feedback on the electrical changes in the skin that increase with her perspiration. With support from the National Science Foundation (NSF), teams across the country like this one are working to advance a new field of research called computational behavioral science.
Computer scientist Rosalind Picard of the Massachusetts Institute of Technology (MIT) is developing wearable sensors to measure the subtle changes that naturally occur in the body during social interactions. Picard's group focuses largely on children with autism and other nonverbal learning disabilities that make it difficult for them to understand and communicate their emotions, and to be understood. Among the technologies Picard's group has developed is a new creative learning platform for the digital age called StoryScape, an open and customizable platform for creating animated storybooks that can interact with the physical world. It is available free on Android devices.
Another team, led by computer scientist Jim Rehg at the Georgia Institute of Technology, is developing new methods to monitor subtle behaviors, such as eye movements, using wearable cameras. Rehg's research group is testing a range of sensors on children, some of whom are on the autism spectrum, with the goal of designing new tools for autism research and more effective treatment.
The research in this episode was supported by NSF awards #1029585 and #1029679, Collaborative Research: Computational Behavioral Science: Modeling, Analysis and Visualization of Social and Communicative Behavior.
Any opinions, findings, conclusions or recommendations presented in this material are only those of the presenter grantee/researcher, author, or agency employee; and do not necessarily reflect the views of the National Science Foundation.