Getting nowhere fast: trade-off between speed and precision in training to execute image-guided hand-tool movements

Abstract Background The speed and precision with which objects are moved by hand or hand-tool interaction under image guidance depend on a specific type of visual and spatial sensorimotor learning. Novices have to learn to optimally control what their hands are doing in a real-world environment whil...

Full description

Bibliographic Details
Main Authors: Anil Ufuk Batmaz, Michel de Mathelin, Birgitta Dresp-Langley
Format: Article
Language:English
Published: BMC 2016-11-01
Series:BMC Psychology
Subjects:
Online Access:http://link.springer.com/article/10.1186/s40359-016-0161-0
_version_ 1818279051081547776
author Anil Ufuk Batmaz
Michel de Mathelin
Birgitta Dresp-Langley
author_facet Anil Ufuk Batmaz
Michel de Mathelin
Birgitta Dresp-Langley
author_sort Anil Ufuk Batmaz
collection DOAJ
description Abstract Background The speed and precision with which objects are moved by hand or hand-tool interaction under image guidance depend on a specific type of visual and spatial sensorimotor learning. Novices have to learn to optimally control what their hands are doing in a real-world environment while looking at an image representation of the scene on a video monitor. Previous research has shown slower task execution times and lower performance scores under image-guidance compared with situations of direct action viewing. The cognitive processes for overcoming this drawback by training are not yet understood. Methods We investigated the effects of training on the time and precision of direct view versus image guided object positioning on targets of a Real-world Action Field (RAF). Two men and two women had to learn to perform the task as swiftly and as precisely as possible with their dominant hand, using a tool or not and wearing a glove or not. Individuals were trained in sessions of mixed trial blocks with no feed-back. Results As predicted, image-guidance produced significantly slower times and lesser precision in all trainees and sessions compared with direct viewing. With training, all trainees get faster in all conditions, but only one of them gets reliably more precise in the image-guided conditions. Speed-accuracy trade-offs in the individual performance data show that the highest precision scores and steepest learning curve, for time and precision, were produced by the slowest starter. Fast starters produced consistently poorer precision scores in all sessions. The fastest starter showed no sign of stable precision learning, even after extended training. Conclusions Performance evolution towards optimal precision is compromised when novices start by going as fast as they can. The findings have direct implications for individual skill monitoring in training programmes for image-guided technology applications with human operators.
first_indexed 2024-12-12T23:27:11Z
format Article
id doaj.art-6d5bdc079e2c4de2a167d0c82452cc7d
institution Directory Open Access Journal
issn 2050-7283
language English
last_indexed 2024-12-12T23:27:11Z
publishDate 2016-11-01
publisher BMC
record_format Article
series BMC Psychology
spelling doaj.art-6d5bdc079e2c4de2a167d0c82452cc7d2022-12-22T00:07:59ZengBMCBMC Psychology2050-72832016-11-014111910.1186/s40359-016-0161-0Getting nowhere fast: trade-off between speed and precision in training to execute image-guided hand-tool movementsAnil Ufuk Batmaz0Michel de Mathelin1Birgitta Dresp-Langley2Laboratoire ICube UMR 7357 CNRS-University of StrasbourgLaboratoire ICube UMR 7357 CNRS-University of StrasbourgLaboratoire ICube UMR 7357 CNRS-University of StrasbourgAbstract Background The speed and precision with which objects are moved by hand or hand-tool interaction under image guidance depend on a specific type of visual and spatial sensorimotor learning. Novices have to learn to optimally control what their hands are doing in a real-world environment while looking at an image representation of the scene on a video monitor. Previous research has shown slower task execution times and lower performance scores under image-guidance compared with situations of direct action viewing. The cognitive processes for overcoming this drawback by training are not yet understood. Methods We investigated the effects of training on the time and precision of direct view versus image guided object positioning on targets of a Real-world Action Field (RAF). Two men and two women had to learn to perform the task as swiftly and as precisely as possible with their dominant hand, using a tool or not and wearing a glove or not. Individuals were trained in sessions of mixed trial blocks with no feed-back. Results As predicted, image-guidance produced significantly slower times and lesser precision in all trainees and sessions compared with direct viewing. With training, all trainees get faster in all conditions, but only one of them gets reliably more precise in the image-guided conditions. Speed-accuracy trade-offs in the individual performance data show that the highest precision scores and steepest learning curve, for time and precision, were produced by the slowest starter. Fast starters produced consistently poorer precision scores in all sessions. The fastest starter showed no sign of stable precision learning, even after extended training. Conclusions Performance evolution towards optimal precision is compromised when novices start by going as fast as they can. The findings have direct implications for individual skill monitoring in training programmes for image-guided technology applications with human operators.http://link.springer.com/article/10.1186/s40359-016-0161-0Image-guided technologyHuman operatorSimulator trainingTool-mediated object manipulationTimePrecision
spellingShingle Anil Ufuk Batmaz
Michel de Mathelin
Birgitta Dresp-Langley
Getting nowhere fast: trade-off between speed and precision in training to execute image-guided hand-tool movements
BMC Psychology
Image-guided technology
Human operator
Simulator training
Tool-mediated object manipulation
Time
Precision
title Getting nowhere fast: trade-off between speed and precision in training to execute image-guided hand-tool movements
title_full Getting nowhere fast: trade-off between speed and precision in training to execute image-guided hand-tool movements
title_fullStr Getting nowhere fast: trade-off between speed and precision in training to execute image-guided hand-tool movements
title_full_unstemmed Getting nowhere fast: trade-off between speed and precision in training to execute image-guided hand-tool movements
title_short Getting nowhere fast: trade-off between speed and precision in training to execute image-guided hand-tool movements
title_sort getting nowhere fast trade off between speed and precision in training to execute image guided hand tool movements
topic Image-guided technology
Human operator
Simulator training
Tool-mediated object manipulation
Time
Precision
url http://link.springer.com/article/10.1186/s40359-016-0161-0
work_keys_str_mv AT anilufukbatmaz gettingnowherefasttradeoffbetweenspeedandprecisionintrainingtoexecuteimageguidedhandtoolmovements
AT micheldemathelin gettingnowherefasttradeoffbetweenspeedandprecisionintrainingtoexecuteimageguidedhandtoolmovements
AT birgittadresplangley gettingnowherefasttradeoffbetweenspeedandprecisionintrainingtoexecuteimageguidedhandtoolmovements