Real-time user studies with multiple subjects
REGRESSION
In order to analyze if requirement R4 can be fulfilled by the proposed algorithms, online user studies with multiple subjects were conducted for the evaluation of suitability in practical scenarios. The setup of the experiment is shown in Fig. kNN parameterized according to the configuration obtained in the pilot experiments.kNN after training dataset reduction by means of DSM.Ridge regression with random Fourier features (RR-RFF).Standard ridge regression (RF).Experimental setup of the user study, the subject is positioned to only view the left screen while the experimenter can control the experiment on the right screen, e.g. for pausing if needed (without seeing the currently used method)Following the general recommendations from Sects. For DSM-kNN, the same parameters were used within the prediction phase. For the reduction phase, DSM was configured to generate 7 prototypes in the final set with 40 iterations enabled. The results obtained will be explained in the following.All statistical tests conducted in the following refer to a significance level of Basic user study: success rates (over subjects) and significance from ANOVA (Basic user study: performance of the examined methods for individual gesture exertion levels and significance from ANOVA (