Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

< Back to Article

Fig 1.

Schematic overview of the empirical study.

More »

Fig 1 Expand

Table 1.

Description of objective performance classes.

More »

Table 1 Expand

Fig 2.

Partial dependencies of objective performance classes.

More »

Fig 2 Expand

Table 2.

Description of research hypotheses.

More »

Table 2 Expand

Fig 3.

Illustration of research hypotheses.

More »

Fig 3 Expand

Table 3.

Formal description of research hypotheses (corr a correlation coefficient and acc the accuracy of a prediction).

More »

Table 3 Expand

Table 4.

Mental workload & usability—Groups A, B (G.A/G.B).

More »

Table 4 Expand

Fig 4.

Summary statistics by task.

More »

Fig 4 Expand

Fig 5.

Scatterplots of NASATLX, WP vs SUS.

More »

Fig 5 Expand

Table 5.

Pearson and Spearman correlation coefficients of the usability and the mental workload scores.

More »

Table 5 Expand

Fig 6.

Density plots of the correlations by task—Group A, B.

More »

Fig 6 Expand

Table 6.

Correlations MWL vs usability. Groups A and B.

More »

Table 6 Expand

Fig 7.

Details of tasks with moderate/high correlation.

More »

Fig 7 Expand

Table 7.

Correlation MWL-usability by user.

More »

Table 7 Expand

Fig 8.

Density plots of the correlations by user.

More »

Fig 8 Expand

Fig 9.

Density plots of the correlations of selected users by task (top, groups A, B) and by users (bottom).

More »

Fig 9 Expand

Fig 10.

Relationship between usability and mental workload scores for participants with moderate or high Pearson and Spearman correlation coefficients.

More »

Fig 10 Expand

Table 8.

Correlations of the mental workload scores with the usability scores by performance class.

More »

Table 8 Expand

Fig 11.

Correlations of the mental workload scores and the usability scores by performance class.

More »

Fig 11 Expand

Fig 12.

Original distribution of the objective performance classes.

More »

Fig 12 Expand

Table 9.

Frequencies of classes.

More »

Table 9 Expand

Fig 13.

Independent features and classification techniques.

More »

Fig 13 Expand

Fig 14.

Distribution of the accuracies of individual and combined induced models ordered by mean.

More »

Fig 14 Expand

Table 10.

Ordered distributions of accuracies of trained models grouped by learning technique (combined highlighted).

More »

Table 10 Expand

Table 11.

Wilcoxon test of distributions of accuracies ordered by independent features with 95% confidence intervals (statistically significant different models highlighted).

More »

Table 11 Expand

Fig 15.

Ordered distributions of accuracies of trained models by mean using full feature sets of original mental workload and usability assessment instruments.

More »

Fig 15 Expand

Table 12.

Ordered distributions of accuracies of trained models using full feature sets of original mental workload and usability instruments (combined models highlighted).

More »

Table 12 Expand

Table 13.

Wilcoxon test of distributions of accuracies ordered by independent features with 95% confidence intervals using mental workload and usability attributes (statistically significant different models highlighted).

More »

Table 13 Expand

Fig 16.

Intra-correlations of mental workload and usability questionnaire items.

More »

Fig 16 Expand

Table 14.

Cronbach’s Alpha of the mental workload and usability questionnaire items.

More »

Table 14 Expand

Table 15.

Formal description of research hypotheses and their acceptance status (corr a correlation coefficient and acc the accuracy of the model’s prediction).

More »

Table 15 Expand