Title:
Operator Efficiency Improvements from Novel Human-Machine Interfaces

dc.contributor.author Elton, Mark D. en_US
dc.contributor.author Book, Wayne J. en_US
dc.contributor.corporatename Georgia Institute of Technology. School of Mechanical Engineering en_US
dc.contributor.corporatename Georgia Institute of Technology. Center for Robotics and Intelligent Machines en_US
dc.date.accessioned 2011-06-15T18:55:56Z
dc.date.available 2011-06-15T18:55:56Z
dc.date.issued 2010-06
dc.description Presented at the 6th FPNI – PhD Symposium, June 15-19 2010, West Lafayette, Indiana. en_US
dc.description.abstract State of the art human-machine interfaces for multi-DOF mobile hydraulic machines are non-intuitive and require long periods of training and experience for operators to perfect control of the machine. This paper explores using a novel human-machine interface to control a simulated 5-ton mini-excavator. After a brief discussion of the simulation and the tests performed, it reports on improvements in operator productivity and efficiency of the novel interface over the standard interface. A new measure of fuel efficiency in terms of fuel per task is explained, and the test results show that a more intuitive input device increases fuel efficiency. en_US
dc.identifier.citation Mark Elton and Wayne Book , “Operator Efficiency Improvements from Novel Human-Machine Interfaces,” 6th Fluid Power Net International – PhD Symposium, West Lafayette, Indiana, June 15-19, 2010 . en_US
dc.identifier.uri http://hdl.handle.net/1853/39132
dc.language.iso en_US en_US
dc.publisher Georgia Institute of Technology en_US
dc.subject Excavators en_US
dc.subject Human-machine interface en_US
dc.subject Simulator en_US
dc.subject Fuel efficiency en_US
dc.title Operator Efficiency Improvements from Novel Human-Machine Interfaces en_US
dc.type Text
dc.type.genre Proceedings
dspace.entity.type Publication
local.contributor.author Book, Wayne J.
local.contributor.corporatename George W. Woodruff School of Mechanical Engineering
local.contributor.corporatename College of Engineering
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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