Gilles MONTAGNE

Prof. Gilles MONTAGNE

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Research Focus & Metrics

Academic Career Length

34Years (1993-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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18 October 1999 in Experimental Brain Research
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GMGilles MONTAGNE
Gilles MONTAGNE
ADAlain Durey
Alain Durey
RBReinoud Bootsma
Reinoud Bootsma
MLMichel Laurent
Michel Laurent

1 March 2000 in Journal of Motor Behavior
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Journal Article
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GMGilles MONTAGNE
Gilles MONTAGNE
SCSabine Cornus
Sabine Cornus
DGDaniel Glize
Daniel Glize
FQFrank Quaine
Frank Quaine
MLMichel Laurent
Michel Laurent
The authors' goal was to identify the control mechanisms used by long jumpers (N = 6) to precisely position their foot at the board. In addition to the intertrial method usually used in previous research, an original method based on a trial-by-trial analysis was also implemented. If the approach to the board in long jumping encompasses two distinct sequences separated by a key step that marks the initiation of visual control, then a trial-by-trial analysis should reveal those sequences, regardless of the amount of adjustment: The step number at which regulation is initiated should be the same irrespective of the amount of adjustment. If, in contrast, a perception-action coupling mechanism operates, then the step number at which regulation is initiated should be a function of the amount of adjustment: A linear relation between those 2 variables should emerge. The results of the present study are compatible with continuous control mechanisms based on a perception-action coupling.

25 June 2004 in Experimental Brain Research
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LMLiesbeth I. N. Mazyn
Liesbeth I. N. Mazyn
MLMatthieu Lenoir
Matthieu Lenoir
GMGilles MONTAGNE
Gilles MONTAGNE
GSGeert J. P. Savelsbergh
Geert J. P. Savelsbergh

1 December 2002 in Neuroscience Letters
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Journal Article
Closed access
ACA. Chardenon
A. Chardenon
GMGilles MONTAGNE
Gilles MONTAGNE
MBM.J. Buekers
M.J. Buekers
MLM. Laurent
M. Laurent

14 December 2020 in Journal of Medical Internet Research
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Journal Article
Open access
NMNicolas Mascret
Nicolas Mascret
LDLisa Delbes
Lisa Delbes
AVAmélie Voron
Amélie Voron
JTJean-Jacques Temprado
Jean-Jacques Temprado
GMGilles MONTAGNE
Gilles MONTAGNE
Background: Falls are a common phenomenon among people aged 65 and older and affect older adults’ health, quality of life, and autonomy. Technology-based intervention programs are designed to prevent the occurrence of falls and their effectiveness often surpasses that of more conventional programs. However, to be effective, these programs must first be accepted by seniors. Objective: Based on the technology acceptance model, this study aimed to examine the acceptance among older adults before a first use of a virtual reality headset (VRH) used in an intervention program designed to prevent falls. Methods: A sample of 271 French older adults (mean age 73.69 years, SD 6.37 years) voluntarily and anonymously filled out a questionnaire containing the focal constructs (perceived usefulness, perceived enjoyment, perceived ease of use, intention to use, fall-related self-efficacy, and self-avoidance goals) adapted to the VRH, which was designed to prevent falls. Results: The results of the structural equation modeling analysis showed that intention to use the VRH was positively predicted by perceived usefulness, perceived enjoyment, and perceived ease of use. Perceived usefulness of the VRH was also negatively predicted by fall-related self-efficacy (ie, the perceived level of confidence of an individual when performing daily activities without falling) and positively predicted by self-avoidance goals (ie, participating in a physical activity to avoid physical regression). Conclusions: A better understanding of the initial acceptance among older adults of this VRH is the first step to involving older adults in intervention programs designed to prevent falls using this kind of device.

23 March 2004 in Experimental Brain Research
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ACA. Chardenon
A. Chardenon
GMGilles MONTAGNE
Gilles MONTAGNE
MLM. Laurent
M. Laurent
RBReinoud Bootsma
Reinoud Bootsma