OBJECTIVES

Complementary in the collaboration between human and AI-based digital assistant

COALA aims to develop a human-centred Digital Intelligent Assistant that provides a more proactive and pragmatic approach to support operative situations characterized by cognitive load, time pressure, and little or zero tolerance for quality issues. 

COALA will provide a solution for cognitive assistance consisting of a composition of trustworthy AI components with a voice-enabled digital intelligent assistant as an interface. The solution will support workers that need to use analytics tools and new workers that perform on-the-job training.

An education and training concept focusing on building blue-collar worker competencies in human-AI collaboration will be offered. 

It aims to support the human-side of the collaboration by providing concept for teaching professionals systematically and, in the language of the workers, about the capabilities, risks, and limitations of AI in manufacturing.

It will transform how workers perform their jobs and allow companies to increase their production process and product quality.

Reduce the number of quality incidents in manufacturing

Reduce the time needed for on-the-job training of workers in manufacturing

Overcome barriers regarding the use of a voice-enabled DIA in manufacturing

Improve competencies of manufacturing workers in managing AI opportunities