Fig. 11.

a Boxplots of the average score of track altering decision of each user against their skill response. Kruskal–Wallis test shows statistically significant results: ${\mathit{\chi }}^2(2)=22.64$, $p<0.01$. Whereas Spearman Correlation: $\mathit{\rho }=0.66$, p value $<0.01$ shows a strong positive correlation. b Boxplots of the average score Attention of each user against their response on fatigue. Kruskal–Wallis test shows statistically significant results: ${\mathit{\chi }}^2(3)=11.35$, $p=0.01$. Spearman Correlation detects a negative correlation: $\mathit{\rho }=-0.41$, $p<0.01$. c Boxplots of the average score on Experience of each user against their response on self-reported skill. Kruskal–Wallis test shows statistically significant results: ${\mathit{\chi }}^2(2)=28.81$, $p<0.01$. Spearman Correlation gives a strong positive correlation: $\mathit{\rho }=0.75$, $p<0.01$. d Boxplots of the average score on Exploration of each user against their response on improvement. Kruskal–Wallis test shows statistically significant results: ${\mathit{\chi }}^2(3)=12.54$, $p<0.01$. Whereas Spearman correlation shows a negative correlation: $\mathit{\rho }=-0.48$, $p<0.01$