Title :
Human-machine haptic interface design using stochastic resonance methods
Author :
Repperger, Daniel W. ; Phillips, Chandler A. ; Berlin, James E. ; Neidhard-Doll, Amy T. ; Haas, Michael W.
Author_Institution :
Air Force Res. Lab., Wright-Patterson, OH, USA
fDate :
7/1/2005 12:00:00 AM
Abstract :
A study was conducted with haptic (forces produced on a human via mechanical systems) interfaces and how they may interact with an operator to improve tracking performance. What differs from traditional approaches is that a certain amount of random noise (in a haptic sense) was inserted into the human-machine loop. It was observed that the tracking performance of the operator benefitted from this interaction.
Keywords :
haptic interfaces; man-machine systems; random noise; resonance; stochastic processes; human-machine haptic interface design; human-machine loop; random noise; stochastic resonance; Control systems; Displays; Force sensors; Haptic interfaces; History; Humans; Mechanical systems; Robot sensing systems; Stochastic resonance; Strontium; Haptics; human–machine interfaces; stochastic resonance;
Journal_Title :
Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on
DOI :
10.1109/TSMCA.2005.850608