Improving Human-Robot Interaction for Urban Search and Rescue
, University of Massachusetts, Lowell
Date: Friday, February 04, 2005
Time: 1:30 PM to 2:30 PM
Refreshments: 1:15 PM
Location: Patil Seminar Room (32-G449)
Host: Jaime Teevan, CSAIL
Contact: Jaime Teevan, 617/253-1611, firstname.lastname@example.org
Speaker URL: None
TALK: Improving Human-Robot Interaction for Urban Search
Past attempts at using multiple sensor modalities in urban search and rescue (USAR) activities have resulted in missed detection of victims and operator disorientation. We have performed studies of over a dozen USAR robot systems at the AAAI and RoboCup Robot Rescue competitions and have conducted usability testing with domain experts at the National Institute of Standards and Technology. These studies have shown that the interfaces do not provide adequate situation awareness to the human operator.
Using our findings, we have developed design guidelines for interacting with a remote robot. We have confirmed these guidelines by creating and testing a new interface that fuses multiple sensor modalities into a single display and suggests appropriate actions to its user.
Holly Yanco is an Assistant Professor in the Computer Science Department at UMass Lowell, where she heads the Robotics Lab. Her research interests include robotics, human-robot interaction and assistive technology. She received her PhD from the MIT AI Lab in September 2000.
Created by Linda L. Julien at Wednesday, June 19, 2013 at 6:21 AM.