Influencing Factors
SECONDARY, DISORDERS
The secondary aim of this study was to analyze possible correlations among potential influencing factors, namely, age, sex, years of education, training motivation, game and assessment performance, and measures of usability. Except for sex and years of education, many significant correlations were found, with the SUS exhibiting the highest number of associations with all secondary outcome measures—most likely because of its comprehensive assessment of overall usability covering all other measures of usability. Concerning sex and years of education, the results of previous studies are controversial [Regarding training motivation and performance measures, the direction of the effects must be further evaluated. Possibly, a highly usable device fosters higher motivation and better performance, but conversely, motivated individuals or those performing well in the games may perceive the system as more usable than others.Moreover, it must be considered that the differences in performance, acceptance, and usability ratings were primarily attributed to the participants’ country affiliation, with participants from Switzerland showing the best performance and giving the highest usability and acceptance ratings, whereas those in Italy generally exhibited much lower values in all outcome measures. Possible explanations for this disparity include the fact that participants recruited in Italy had a higher, though not statistically relevant, mean age and had various disorders, in contrast to participants enrolled in Switzerland and Cyprus, who were physically and mentally healthy. In addition, cultural and family structure differences may have played a role as people in Italy and Cyprus tend to live in larger families with stronger bonds compared with Northern European countries and their “contemporary Western lifestyle” [