Multi-stakeholder perspective on human-AI collaboration in industry 5.0

Authors

Thomas Hoch, Software Competence Center Hagenberg
Jorge Martinez-Gil, Software Competence Center Hagenberg
Mario Pichler, Software Competence Center Hagenberg
Agastya Silvina, Software Competence Center Hagenberg
Bernhard Heinzl, Software Competence Center Hagenberg
Bernhard Moser, Software Competence Center Hagenberg
Dimitris Eleftheriou, Core Innovation
Hector Diego Estrada-Lugo, Technological University Dublin
Maria Chiara Leva, Technological University Dublin

Document Type

Book Chapter

Publication Details

https://doi.org/10.1007/978-3-031-46452-2_23

Abstract

AI has gained significant traction in manufacturing, offering tremendous potential for enhancing production efficiency, cost reduction, and safety improvements. Consequently, developing AI-based software platforms that facilitate collaboration between human operators and AI services is crucial. However, integrating the different stakeholder perspectives into a common framework is a complex process that requires careful consideration. Our research has focused on identifying the individual relevance of varying quality characteristics per stakeholder toward such a software platform. Therefore, this work proposes an overview on the vital success factors related to human-AI teaming that can be used to measure fulfillment.

DOI

10.1007/978-3-031-46452-2_23

Recommended Citation

Hoch, T., Martinez-Gil, J., Pichler, M., Silvina, A., Heinzl, B., Moser, B., Eleftheriou, D., Estrada-Lugo, H. D., & Leva, M. C. (2024). Multi-stakeholder perspective on human-AI collaboration in industry 5.0. https://doi.org/10.1007/978-3-031-46452-2_23

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.