Practice can make search-and-rescue robot operators more accurate

Study finds that untrained operators often misjudge their expertise in navigating robots through openings while searching for survivors

2011-05-08

(Press-News.org) Urban search and rescue (USAR) task forces are essential for locating, stabilizing, and extricating people who become trapped in confined spaces following a catastrophic event. Sometimes the search area is too unstable for a live rescue team, so rescuers have turned to robots wielding video cameras. Most recently, the USAR robots have been employed by rescuers following the devastating Japanese earthquake and tsunami. The rescuers control, or teleoperate, from a safe location. Teleoperation can be problematic, as robots frequently become stuck, which can destabilize the search area and hinder rescue operations.

"The World Trade Center site was the first major real-world evaluation of robots as tools for USAR," says Keith Jones, an HF/E researcher at Texas Tech University. "Overall, the robots performed well. One problem that did surface, however, was that the robots got stuck, a lot." Jones, with coauthors Brian Johnson and Elizabeth Schmidlin, published a study of USAR robot teleoperation in a special issue of the Journal of Cognitive Engineering and Decision Making on human-robot interaction.

In a series of experiments, Jones and colleagues asked participants to drive a USAR robot through the openings of various structures. Successful navigation through openings depended on the size of the robot and the operator's level of driving skill. Results indicated that, surprisingly, untrained operators could accurately judge the robot's size relative to the opening. However, operators perceived their skill at guiding the USAR robot through the opening as greater than their performance demonstrated. This judgment factors in the size of the robot, the operator's driving skill, and the size of the aperture. Jones et al. did find that, with practice, participants improved their driveability judgments.

"Our research seeks to understand why operators are getting their robots stuck," says Jones. "With that knowledge, hopefully, we can reduce the problem, and increase the amount of time that operators spend searching for survivors."

### For a full copy of the article, go to http://edm.sagepub.com/content/5/1/10.full.pdf+html or contact HFES Communications Director Lois Smith (lois@hfes.org, 310/394-1811).

The Human Factors and Ergonomics Society is the world's largest nonprofit individual-member, multidisciplinary scientific association for human factors/ergonomics professionals, with more than 4,500 members globally. HFES members include psychologists and other scientists, designers, and engineers, all of whom have a common interest in designing systems and equipment to be safe and effective for the people who operate and maintain them. Watch science news stories about other HF/E topics at the HFES Web site. "Human Factors and Ergonomics: People-Friendly Design Through Science and Engineering"

Plan to attend the HFES 55th Annual Meeting, September 19-23: http://www.hfes.org/web/HFESMeetings/2011annualmeeting.html

Photo Credit: National Institute of Standards and Technology

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Practice can make search-and-rescue robot operators more accurate

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