Title:
Lead Me by the Hand: Evaluation of a Direct Physical Interface for Nursing Assistant Robots

dc.contributor.author Chen, Tiffany L. en_US
dc.contributor.author Kemp, Charles C. en_US
dc.contributor.corporatename Georgia Institute of Technology. Healthcare Robotics Lab en_US
dc.contributor.corporatename Georgia Institute of Technology. Center for Robotics and Intelligent Machines en_US
dc.date.accessioned 2011-03-11T15:18:41Z
dc.date.available 2011-03-11T15:18:41Z
dc.date.issued 2010-03
dc.description ©2010 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. en_US
dc.description Presented at the 5th ACM/IEEE International Conference on Human-Robot Interaction (HRI), 2-5 March 2010 , Osaka, Japan. en_US
dc.description DOI: 10.1109/HRI.2010.5453162 en_US
dc.description.abstract When a user is in close proximity to a robot, physical contact becomes a potentially valuable channel for communication. People often use direct physical contact to guide a person to a desired location (e.g., leading a child by the hand) or to adjust a person's posture for a task (e.g., a dance instructor working with a dancer). Within this paper, we present an implementation and evaluation of a direct physical interface for a human-scale anthropomorphic robot. We define a direct physical interface (DPI) to be an interface that enables a user to influence a robot's behavior by making contact with its body. Human-human interaction inspired our interface design, which enables a user to lead our robot by the hand and position its arms. We evaluated this interface in the context of assisting nurses with patient lifting, which we expect to be a high-impact application area. Our evaluation consisted of a controlled laboratory experiment with 18 nurses from the Atlanta area of Georgia, USA. We found that our DPI significantly outperformed a comparable wireless gamepad interface in both objective and subjective measures, including number of collisions, time to complete the tasks, workload (Raw Task Load Index), and overall preference. In contrast, we found no significant difference between the two interfaces with respect to the users' perceptions of personal safety. en_US
dc.identifier.citation Chen, T.L.; Kemp, C.C. , "Lead me by the hand: Evaluation of a direct physical interface for nursing assistant robots," 5th ACM/IEEE International Conference on Human-Robot Interaction (HRI), 2010, 367-374. en_US
dc.identifier.isbn 978-1-4244-4892-0
dc.identifier.uri http://hdl.handle.net/1853/37358
dc.language.iso en_US en_US
dc.publisher Georgia Institute of Technology en_US
dc.publisher.original Institute of Electrical and Electronics Engineers en_US
dc.subject Human-robot interaction en_US
dc.subject Medical robotics en_US
dc.title Lead Me by the Hand: Evaluation of a Direct Physical Interface for Nursing Assistant Robots en_US
dc.type Text
dc.type.genre Proceedings
dc.type.genre Post-print
dspace.entity.type Publication
local.contributor.author Kemp, Charles C.
local.contributor.corporatename Healthcare Robotics Lab
local.contributor.corporatename Institute for Robotics and Intelligent Machines (IRIM)
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relation.isOrgUnitOfPublication 66259949-abfd-45c2-9dcc-5a6f2c013bcf
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