Repeated Measures
Ability-based Balancing using the GMFM in Exergaming for Youth with Cerebral Palsy
MacIntosh A, Switzer L, Hwang S, Schneider A L J, Clarke D, Graham T C N & Fehlings D
Games for Health Journal 6 (6), 2017
DOI: 10.1089/g4h.2017.0053
Link to abstract ncbi.nlm.nih.gov/pubmed/29016199
What? Among differently-abled players with cerebral palsy, can "GMFM Ability-based balancing" result in enjoyable fair play for all?
How? Eight 8-14 year olds with GMFM ability level II and III scores played video games in dyads using three different algorithms to even game play.Each dyad went head-to-head three times, using one of three algorithms to balance the competition between them. The three algorithms were a GMFM ability balance, an idealized balance and a control algorithm. The players were asked if the gameplay was fun and fair.
Findings: GMFM Ability-based balancing resulted in the best fit of play that was both ability-balanced and enjoyable.