Unlocking Mechanical Minds: using robots to help diagnose autism

Kids’ interactions with talking robots—which behave in a standardized, bias-free manner—could reveal telltale signs in very young children destined to develop autism. University of Minnesota researchers have collected baseline data on robots’ interactions with 2- to 4-year-olds. They hope to use this data to predict who will develop autism, unlocking the door to countless precious minds.

Meet the researcher

Maria Gini

Maria Gini

Professor, College of Science and Engineering

Marie Manner

Marie Manner

Ph.D. Student, College of Science and Engineering

Amy Esler

Amy Esler, PhD

Assistant Professor, Department of Pediatrics

Suma Jacob

Suma Jacob

Associate Professor, Psychiatry and Pediatrics

https://twin-cities.umn.edu/node/276826
University of Minnesota, Twin Cities
10/19/2018