Operator Efficiency Improvements from Novel Human-Machine Interfaces
Elton, Mark D.
Book, Wayne John
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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.