A nonlinear contextually aware prompting system (N-CAPS) to assist workers with XXXX to perform factory assembly tasks: system overview and pilot testing.

@entity1 @entity73 @entity717
PURPOSE: This paper presents a new cognitive assistive technology, nonlinear contextually aware prompting system (N-CAPS) that uses advanced sensing and artificial intelligence to monitor and provide assistance to workers with @entity73 during a factory assembly task. METHODS: The N-CAPS system was designed through the application of various computer vision and artificial intelligence algorithms that allows the system to track a user during a specific assembly task, and then provide verbal and visual prompts to the worker as needed. A pilot study was completed with the N-CAPS solution in order to investigate whether it was an appropriate intervention. Four @entity1 completed the required assembly task five different times, using the N-CAPS system. RESULTS: The @entity1 completed all of the trials that they attempted with 85.7% of the steps completed without assistance from the job coach. Of the 85.7% of steps completed independently, 32.5% of these were completed in response to prompts given by N-CAPS. Overall system accuracy was 83.3%, the overall sensitivity was 86.2% and the overall specificity was 82.4%. CONCLUSIONS: The results from the study were positive in that they showed that this type of technology does have merit with this population. Implications for Rehabilitation It provides a concise summary of the importance of work in the lives of @entity1 with @entity717 and how technology can support this life goal. It describes the first artificially intelligent system designed to support workers with intellectually disabilities. It provides evidence that individuals with @entity717 can perform a work task in response to technology.
