"Automation and artificial intelligence in business logistics systems: human reactions and collaboration requirements"
by Klumpp, Matthias (2018)
Increasing application areas and depths of autonomous systems in logistics provide a new level of challenge for the analysis and design of human machine interaction concepts. Due to scarce high-skilled personnel in several regions and the objectives of efficiency and sustainability improvement, logistics operators have to pursue technological progress like automation with all means. In order to distinguish between more or less performing human?artificial collaboration systems in logistics ex ante for investment decision purposes, a multi-dimensional conceptual framework is developed. A comprehensive case study regarding automated truck driving in logistics is provided in order to test the concept concerning practical implications. Results include the notion of four distinctive and increasing resistance levels before finally an efficient ?trusted? collaboration between human operators and artificial intelligence systems can be achieved. This is important for the design of many automated systems in logistics, among others for driving and piloting professions regarding autonomous driving supervision.
Again, workload and conditions (time schedule) as well as appreciations from managers, customers, fellow workers, and traffic participants are important for drivers.This could lead to the proposition that positive human–artificial collaboration may even be easier if AI application learn to accolade and praise human co-workers in any form in order to show some appreciation for their input. This could be implemented for example within voice communication between drivers and Ai applications (p.223)
KeywordsArtificial Intelligence, Machine Learning, Worker Replacement, Worker Education, Logistics, Human Machine Interaction
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