<Details of rmANOVA results>
Performed rmANOVA with a post-hoc analysis (Bonferroni correction)
There is marginally significant at p < 0.05
Tasks with AWAA (Task D, F, and H) > Task AΒ
Average scores: Task A < Task D < Task HΒ < Task F
βΈ« Our model outperformed the fixed workload allocation method.
<Average of the obtained score in each set>
Performed rmANOVA with a post-hoc analysis (Bonferroni correction)
1st set: no significant different
2nd set:Β Team performance improved (marginally significant at p < .05)
3rd set: no significant different
βΈ« Our model can improve the team performance by changing the workload.
<Details of rmANOVA results>
Tasks with AS: Task B (Capability) vs. Task C (with IS) vs. Task E (with PS) vs. Task G (with Both IS and PS)
Performed rmANOVA with a post-hoc analysis (Bonferroni correction)
There are marginally significant differences (p < .05)Β
Average scores: Task C < Task E < Task BΒ < Task G
βΈ« Both PS and IS should be used for workload allocation method to achieve the highest team performance.
Performed two-way ANOVA to investigate the interaction effects
Β There is no significant difference at p = .05Β
But, there is a slight interaction effect
Β βΈ« Presence of AS is not affected on team performance & Presence PS or IS influence on team performance
Task A vs. Task B: Equal vs. capability-based workload allocation
There is no significant difference at p = .05
However, the mean of Task B is slightly higher than Task A;
βΈ« We observed that capability-based workload allocation better than fixed workload allocation methods.