Engineering models of human performance permit some aspects of usability of interface designs to be predicted from an analysis of the task, and thus they can replace to some extent expensive user-testing data. We successfully predicted human performance in telephone operator tasks with engineering models constructed in the EPIC ( E xecutive P rocess- I nteractive C ontrol) architecture for human information processing, which is especially suited for modeling multimodal, complex tasks, and has demonstrated success in other task domains. Several models were constructed on an a priori basis to represent different hypotheses about how operators coordinate their activities to produce rapid task performance. The models predicted the total time with useful accuracy and clarified some important properties of the task. The best model was based directly on the GOMS analysis of the task and made simple assumptions about the operator's task strategy, suggesting that EPIC models are a feasible approach to predicting performance in multimodal high-performance tasks.

Objective Behavioral therapies developed specifically for co-occurring disorders remain sparse, and such therapies for comorbid adolescents are particularly rare. This was an evaluation of the long-term (2-year) efficacy of an acute phase trial of manualized cognitive behavioral therapy/motivation enhancement therapy (CBT/MET) versus naturalistic treatment among adolescents who had signed consent for a treatment study involving the SSRI antidepressant medication fluoxetine and CBT/MET therapy for comorbid major depressive disorder (MDD) and an alcohol use disorder (AUD). We hypothesized that improvements in depressive symptoms and alcohol-related symptoms noted among the subjects who had received CBT/MET would exceed that of those in the naturalistic comparison group that had not received CBT/MET therapy. Methods We evaluated levels of depressive symptoms and alcohol-related symptoms at a two-year follow-up evaluation among comorbid MDD/AUD adolescents who had received an acute phase trial of manual-based CBT/MET (in addition to the SSRI medication fluoxetine or placebo) compared to those who had received naturalistic care. Results In repeated measures ANOVA, a significant time by enrollment status difference was noted for both depressive symptoms and alcohol-related symptoms across the two-year time period of this study, with those receiving CBT/MET demonstrating superior outcomes compared to those who had not received protocol CBT/MET therapy. No significant difference was noted between those receiving fluoxetine versus those receiving placebo on any outcome at any time point. Conclusions These findings suggest long-term efficacy for an acute phase trial of manualized CBT/MET for treating comorbid MDD/AUD adolescents. Large multi-site studies are warranted to further clarify the efficacy of CBT/MET therapy among various adolescent and young adult comorbid populations.

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