Author:
Hoch Thomas,Martinez-Gil Jorge,Pichler Mario,Silvina Agastya,Heinzl Bernhard,Moser Bernhard,Eleftheriou Dimitris,Estrada-Lugo Hector Diego,Leva Maria Chiara
Abstract
AbstractAI 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.
Publisher
Springer Nature Switzerland
Reference30 articles.
1. Johnson, M., Vera, A.: No AI is an island: the case for teaming intelligence. AI Mag. 40(1), 16–28 (2019)
2. Qu, Y.J., Ming, X.G., Liu, Z.W., Zhang, X.Y., Hou, Z.T.: Smart manufacturing systems: state of the art and future trends. Int. J. Adv. Manuf. Technol. 103, 3751–3768 (2019)
3. Phuyal, S., Bista, D., Bista, R.: Challenges, opportunities and future directions of smart manufacturing: a state of art review. Sustainable Futures 2, 100023 (2020)
4. Salas, E., Sims, D.E., Burke, C.S.: Is there a “big five” in teamwork? Small Group Res. 36(5), 555–599 (2005)
5. Daugherty, P.R., Wilson, H.J.: Human + Machine: Reimagining Work in the Age of AI. Harvard Business Press, Cambridge (2018)
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献