Accurate micromanipulation induced by performing in unstable dynamics

This study examines effects of learning 3D micromanipulation in an unstable dynamic environment. A test group trained in an unstable divergent force field while a control group trained the movement in the null force field. The subjects in the test group increased the success rate, in contrast to the...

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Bibliographic Details
Published in19th International Symposium in Robot and Human Interactive Communication pp. 762 - 766
Main Authors Su, Eileen Lee Ming, Ganesh, Gowrishankar, Che Fai Yeong, Burdet, Etienne
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2010
Subjects
Accuracy
Force
Haptic interfaces
Surgery
Training
Trajectory
Visualization
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ISBN1424479916
9781424479917
ISSN1944-9445
DOI10.1109/ROMAN.2010.5598674

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Summary:This study examines effects of learning 3D micromanipulation in an unstable dynamic environment. A test group trained in an unstable divergent force field while a control group trained the movement in the null force field. The subjects in the test group increased the success rate, in contrast to the control group which had similar rate after training. The error and its standard deviation decreased in the test group but not in the control group. In summary, training in unstable dynamics enable subjects to become more accurate, in contrast to training using only visual feedback.
ISBN:1424479916
9781424479917
ISSN:1944-9445
DOI:10.1109/ROMAN.2010.5598674