DocumentCode :
678071
Title :
Assessing Goal-Directed Three-Dimensional Movements in a Virtual Reality Block Design Task
Author :
Wooram Jeon ; Clamann, Michael ; Kaber, David B. ; Currie, Nancy J.
Author_Institution :
Dept. of Ind. & Syst., North Carolina State Univ., Raleigh, NC, USA
fYear :
2013
fDate :
13-16 Oct. 2013
Firstpage :
3739
Lastpage :
3744
Abstract :
This study investigated three-dimensional (3D) goal-directed movements in a virtual reality (VR) simulation of a standardized psychomotor control task. Movement trajectories were collected from 22 subjects and parsed based on an existing two-phase model of motor control including ballistic and correction phases. Kinematic measures were also acquired to provide further insight into motor skill learning. Results revealed kinematic measures of total numbers of sub movements and numbers of sub movements in the correction phase to be significantly correlated with psychomotor task scores. A predictive model applied to the 3D movements revealed the correction phase movements to be more predictive of psychomotor performance than the ballistic phase. Findings indicate a greater degree of fine motor skill was required for performance of the psychomotor control task. This research supports the use of high resolution kinematic measures as reliable predictors of psychomotor task performance.
Keywords :
biomechanics; psychometric testing; task analysis; trajectory control; virtual reality; 3D goal-directed movements; 3D movements; VR simulation; ballistic phase; correction phase movements; goal-directed three-dimensional movements; kinematic measures; motor skill learning; movement trajectory; predictive model; psychomotor performance; psychomotor task performance; psychomotor task score; reliable predictors; standardized psychomotor control task; virtual reality block design task; virtual reality simulation; Atmospheric measurements; Haptic interfaces; Kinematics; Particle measurements; Phase measurement; Solid modeling; Training; Virtual reality; block design task; cursor trajectory; motor learning; submovement structure;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man, and Cybernetics (SMC), 2013 IEEE International Conference on
Conference_Location :
Manchester
Type :
conf
DOI :
10.1109/SMC.2013.637
Filename :
6722390
Link To Document :
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