Human-AI Collaboration in Quality Control with Augmented Manufacturing Analytics
Abstract
Augmented analytics is an emerging topic which deals with the enhancement of analytics with conversational interfaces as well as the exploitation of the human knowledge representation through intelligent digital assistants allowing users to easily interact with data and insights. The communication with the user by voice poses new challenges to the development and execution of data analytics services. In this paper, we outline a framework for implementing quality analytics for decision augmentation through optimized human-AI interaction. Our approach aims to reduce the number of quality issues through fast, mobile, and easy access to quality predictions for products and processes. An application case is the production of white goods is presented.
Domains
Computer Science [cs]| Origin | Files produced by the author(s) |
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