Relationship between perceived competence and performance during real and virtual motor tasks by children with developmental coordination disorder.

Autor: Engel-Yeger, Batya, Sido, Rotem, Mimouni-Bloch, Aviva, Weiss, Patrice L.
Předmět:
Zdroj: Disability & Rehabilitation: Assistive Technology; Oct2017, Vol. 12 Issue 7, p752-757, 6p, 3 Charts
Abstrakt: Purpose:(i) To compare children with DCD and typically developing participants via standard motor assessments, two interactive virtual games, measures of physical, social and cognitive self-competence and feedback while playing the virtual games and (ii) To examine the contribution of age and each motor assessment to predict self-competence. Methods:Participants were 25 boys with DCD and 25 typically developing boys, aged 5–9 years. They completed the M-ABC-2, the Pictorial Scale of Perceived Competence, the 6-Minute Walk Test, and then played the two Kinect games and completed the Short Feedback Questionnaire for Children. Results:Children with DCD showed lower physical competence and lower performance than the typical controls in all standard motor assessments. This performance significantly correlated with the children achievements in part of virtual games and with their self-perceived experience while performing within virtual environments. Among the DCD group, Kinect Running game significantly predicted physical and social competence. Conclusions:The significant correlations between the virtual games and standard motor assessments support the feasibility of using these games when evaluating children with DCD for the richer profile they provide.Implications for rehabilitationClinicians should refer to the impacts of DCD on child's self-competence and daily life.Technological rehabilitation and the use of VR games have the potential to improve self-competence of children with DCD.By including VR games that simulate real life in the intervention for DCD, clinicians may raise child's enjoyment, self-competence and involvement in therapy. [ABSTRACT FROM PUBLISHER]
Databáze: Complementary Index