Do player performance, real sport experience, and gender affect movement patterns during equivalent exergame?

Soltani, Pooya and Figueiredo, Pedro and Fernandes, Ricardo J. and Vilas-Boas, João Paulo (2016) Do player performance, real sport experience, and gender affect movement patterns during equivalent exergame? Computers in Human Behavior, 63. pp. 1-8. ISSN 07475632

[img] Text
soltani2016.pdf
Restricted to Repository staff only
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (611kB)
Official URL: https://doi.org/10.1016/j.chb.2016.05.009

Abstract

This study compared the movement patterns of forty-six college students, playing bouts of swimming exergame, while categorized based on their playing performance, gender, and prior experience of real swimming and exergames. Swimming events were divided into normal (controlled by visual feedback) and fast (no feedback) phases and upper limb kinematics were monitored during front crawl event. Those who performed better, completed the game with fewer upper limb cycles and in a shorter time (p < 0.003). Prior exergame experience resulted in higher start velocity (p = 0.019) and those who were familiarized with this swimming exergame, completed the front crawl event with fewer cycles (p = 0.022). Gender and real swimming experience did not affect biomechanical variables. With various playing styles and differences to real swimming movements, the data suggest that the motion capture device is not able to detect complex movements of swimming and previous knowledge of real swimming do not necessarily transfer into better exergame performance. These changes might have happened due to higher adaptation to the exergame. Understanding these patterns may help in the development of more realistic sport exergames and meaningful gameplay.

Item Type: Article
Uncontrolled Keywords: exergame, swimming
Subjects: R Medicine > RC Internal medicine > RC1200 Sports Medicine
Divisions: Institutes and Academies > Wales Institute for Science & Art (WISA) > Academic Discipline: Applied Computing
Depositing User: Dr. Pooya Soltani
Date Deposited: 16 Apr 2020 10:04
Last Modified: 01 Feb 2023 15:36
URI: https://repository.uwtsd.ac.uk/id/eprint/1232

Administrator Actions (login required)

Edit Item - Repository Staff Only Edit Item - Repository Staff Only