Title:
A Systematic Approach to Predict Performance of Human-Automation Systems

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dc.contributor.author Howard, Ayanna M. en_US
dc.contributor.corporatename Georgia Institute of Technology. School of Electrical and Computer Engineering en_US
dc.contributor.corporatename Georgia Institute of Technology. Center for Robotics and Intelligent Machines en_US
dc.date.accessioned 2011-04-07T19:11:16Z
dc.date.available 2011-04-07T19:11:16Z
dc.date.issued 2007-07
dc.description ©2007 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 DOI: 10.1109/TSMCC.2007.897505 en_US
dc.description.abstract This paper discusses an approach for predicting system performance resulting from humans and robots performing repetitive tasks in a collaborative manner. The methodology uses a systematic approach that incorporates the various effects of workload on human performance, and estimates resulting performance attributes derived between teleoperated and autonomous control of robotic systems. Performance is determined by incorporating capabilities of the human and robotic agent based on accomplishment of functional operations and effect of cognitive stress due to continuous operation by the human agent. This paper provides an overview of the prediction system and discusses its implementation on a simulated rendezvous/docking task. en_US
dc.identifier.citation A. Howard, “A Systematic Approach to Predict Performance of Human-Automation Systems,” IEEE Transactions on Systems, Man, and Cybernetics--Part C, Vol. 37, No. 4 (July 2007) 594 – 601. en_US
dc.identifier.doi 10.1109/TSMCC.2007.897505
dc.identifier.issn 1094-6977
dc.identifier.uri http://hdl.handle.net/1853/38443
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 Performance prediction en_US
dc.subject Task allocation en_US
dc.title A Systematic Approach to Predict Performance of Human-Automation Systems en_US
dc.type Text
dc.type.genre Article
dspace.entity.type Publication
local.contributor.author Howard, Ayanna M.
local.contributor.corporatename School of Civil and Environmental Engineering
local.contributor.corporatename Institute for Robotics and Intelligent Machines (IRIM)
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relation.isOrgUnitOfPublication 88639fad-d3ae-4867-9e7a-7c9e6d2ecc7c
relation.isOrgUnitOfPublication 66259949-abfd-45c2-9dcc-5a6f2c013bcf
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