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Content Provider | IEEE Xplore Digital Library |
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Author | Boissy, P. Briere, S. Corriveau, H. Grant, A. Lauria, M. Michaud, F. |
Copyright Year | 2011 |
Description | Author affiliation: Department of Industrial Technologies, HEPIA, Geneva, Switzerland (Lauria, M.) || Research Centre on Aging, Sherbrooke Geriatric Institute (Briere, S.) || Department of Electrical Engineering and Computing, Faculty of Engineering, Université de Sherbrooke (Michaud, F.) || Faculty of Medicine and Health Sciences, Université de Sherbrooke (Corriveau, H.; Grant, A.) || Faculty of Medicine and Health Sciences, Department of Surgery, Université de Sherbrooke, Research Centre on Aging, CSSS-IUGS and the Interdisciplinary Institute for Technological Innovation, Université de Sherbrooke, Québec, Canada (Boissy, P.) |
Abstract | Mobile robots designed to enhance telepresence in the support of telehealth services are being considered for numerous applications. TELEROBOT is a teleoperated mobile robotic platform equipped with videoconferencingcapabilities and designed to be used in a home environment to. In this study, learnability of the system's teleoperation interface and controls was evaluated with ten rehabilitation professionals during four training sessions in a laboratory environment and in an unknown home environment while performing the execution of a standardized evaluation protocol typically used in home care. Results show that the novice teleoperators' performances on two of the four metrics used (number of command and total time) improved significantly across training sessions (ANOVAS, p<0.05) and that performance in these metrics in the last training session reflected teleoperation abilities seen in the unknown home environment during navigation tasks (r=0,77 and 0,60). With only 4 hours of training, rehabilitation professionals were able learn to teleoperate successfully TELEROBOT. However teleoperation performances remained significantly less efficient then those of an expert. Under the home task condition (navigating the home environment from one point to the other as fast as possible) this translated to completion time between 350 seconds (best performance) and 850 seconds (worse performance). Improvements in other usability aspects of the system will be needed to meet the requirements of in-home telerehabilitation. |
Starting Page | 1839 |
Ending Page | 1842 |
File Size | 601633 |
Page Count | 4 |
File Format | |
ISBN | 9781424441211 |
ISSN | 1557170X |
e-ISBN | 9781457715891 |
e-ISBN | 9781424441228 |
DOI | 10.1109/IEMBS.2011.6090523 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2011-08-30 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Training Usability Navigation Mobile communication Mobile robots Teleoperators |
Content Type | Text |
Resource Type | Article |
Subject | Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition |
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