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Moonlight in Miami: A Field Study if Human-Robot Interaction in the Context of an Urban Search and Rescue Disaster Response Training Exercise.

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Title: Moonlight in Miami: A Field Study if Human-Robot Interaction in the Context of an Urban Search and Rescue Disaster Response Training Exercise.
Authors: Burke, Jennifer L., Murphy, Robin R., Coovert, Michael D., Riddle, Dawn L.
Source: Human-Computer Interaction. Mar2004, Vol. 19 Issue 1/2, p85-116. 32p.
Subjects: Robotics, Human-robot interaction, Human-computer interaction, Cybernetics, Automation, Ergonomics
Abstract: This article explores human-robot interaction during a 16-hr, high-fidelity urban search and rescue disaster response drill with teleoperated robots. This article examines operator situation awareness and technical search team interaction using communication analysis. It analyzes situation awareness, team communication, and the interaction of these constructs using a systematic coding scheme designed for this research. The findings indicate that operators spent significantly more time gathering information about the state of the robot and the state of the environment than they did navigating the robot. Operators had difficulty integrating the robot's view into their understanding of the search and rescue site. They compensated for this lack of situation awareness by communicating with team members at the site, attempting to gather information that would provide a more complete mental model of the site. They also worked with team members to develop search strategies. The article concludes with suggestions for design and future research. [ABSTRACT FROM AUTHOR]
Copyright of Human-Computer Interaction is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Moonlight in Miami: A Field Study if Human-Robot Interaction in the Context of an Urban Search and Rescue Disaster Response Training Exercise.
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  Data: <searchLink fieldCode="AR" term="%22Burke%2C+Jennifer+L%2E%22">Burke, Jennifer L.</searchLink><br /><searchLink fieldCode="AR" term="%22Murphy%2C+Robin+R%2E%22">Murphy, Robin R.</searchLink><br /><searchLink fieldCode="AR" term="%22Coovert%2C+Michael+D%2E%22">Coovert, Michael D.</searchLink><br /><searchLink fieldCode="AR" term="%22Riddle%2C+Dawn+L%2E%22">Riddle, Dawn L.</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22Human-Computer+Interaction%22">Human-Computer Interaction</searchLink>. Mar2004, Vol. 19 Issue 1/2, p85-116. 32p.
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  Data: This article explores human-robot interaction during a 16-hr, high-fidelity urban search and rescue disaster response drill with teleoperated robots. This article examines operator situation awareness and technical search team interaction using communication analysis. It analyzes situation awareness, team communication, and the interaction of these constructs using a systematic coding scheme designed for this research. The findings indicate that operators spent significantly more time gathering information about the state of the robot and the state of the environment than they did navigating the robot. Operators had difficulty integrating the robot's view into their understanding of the search and rescue site. They compensated for this lack of situation awareness by communicating with team members at the site, attempting to gather information that would provide a more complete mental model of the site. They also worked with team members to develop search strategies. The article concludes with suggestions for design and future research. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Human-Computer Interaction is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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