Data regarding paths users take to accomplish tasks, errors made, when and where they encountered confusion or frustration, time spent, and degree of satisfaction will be generated.
In such RT tasks, errors are traditionally defined in a binary fashion, on the basis of the overt behavior: The buttonpress is classified as being either correct or erroneous.
In speeded choice reaction time tasks, errors are typically associated with a specific event-related brain potential (ERP) signature, consisting of the error-related negativity (ERN, also error negativity, Ne) and the error positivity (Pe) (Falkenstein et al. 1990; Gehring et al. 1993; Overbeek et al. 2005).
After performing the tasks, performance data (task error rate and verbal protocol) were recorded.
In order to incorporate control and state inequality constraints into trajectory generation law, both a suitably defined extended task error is introduced and exterior penalty function approach is utilized.
Outcome measures included: Task time, task error, vertical/horizontal arm displacement, % maximum EMG from the thenar, forearm flexor, and deltoid muscles, skin conductance (stress), and perceived difficulty and discomfort levels.
This paper, therefore, shows how an analysis of safety case arguments can be used to support the application of barrier, task, error and system analysis during the investigation of a command and control failure.
With the exception of Stroop task error rates, all analyses revealed generally slower and less accurate ADHD group response patterns.
If environment adaptation and task learning shared a common mechanism, then the low task error should have resulted in continued good performance.
