TY - GEN
T1 - Human-AI Collaboration in Smart Manufacturing
T2 - International Conference on Hybrid Human-Artificial Intelligence
AU - Hartikainen, Maria
AU - Spurava, Guna
AU - Väänänen, Kaisa
N1 - Publisher Copyright:
© 2024 The Authors.
PY - 2024
Y1 - 2024
N2 - Demographical reasons and the increasing demand for improved production efficiency are steering the transformation within the manufacturing domain towards smart manufacturing. This entails introducing artificial intelligence (AI), data analytics, and automation to improve the efficiency, productivity, and flexibility of manufacturing processes. With the integration of AI, there is a shift from humans merely interacting with technology to actively collaborating with it, especially with AI-enabled agents. This shift brings changes in work practices and tasks. Hence, comprehensive understanding of the phenomenon becomes central for the design of human-AI collaboration that genuinely contributes to effective production and supports operators' well-being. This scoping review study aims to shed light to the evolving landscape of human-AI collaboration in smart manufacturing by presenting six key concepts derived from an analysis of 23 academic papers. Based on the findings, we propose a framework that offers an initial basis for the design of human-AI collaborative systems for smart manufacturing.
AB - Demographical reasons and the increasing demand for improved production efficiency are steering the transformation within the manufacturing domain towards smart manufacturing. This entails introducing artificial intelligence (AI), data analytics, and automation to improve the efficiency, productivity, and flexibility of manufacturing processes. With the integration of AI, there is a shift from humans merely interacting with technology to actively collaborating with it, especially with AI-enabled agents. This shift brings changes in work practices and tasks. Hence, comprehensive understanding of the phenomenon becomes central for the design of human-AI collaboration that genuinely contributes to effective production and supports operators' well-being. This scoping review study aims to shed light to the evolving landscape of human-AI collaboration in smart manufacturing by presenting six key concepts derived from an analysis of 23 academic papers. Based on the findings, we propose a framework that offers an initial basis for the design of human-AI collaborative systems for smart manufacturing.
KW - Artificial Intelligence
KW - Human-AI Collaboration
KW - Human-Centred AI
KW - Human-Centric Smart Manufacturing
KW - Human-Machine Interaction
KW - Smart Manufacturing
U2 - 10.3233/FAIA240192
DO - 10.3233/FAIA240192
M3 - Conference contribution
AN - SCOPUS:85198721170
T3 - Frontiers in Artificial Intelligence and Applications
SP - 162
EP - 172
BT - HHAI 2024
A2 - Lorig, Fabian
A2 - Tucker, Jason
A2 - Lindstrom, Adam Dahlgren
A2 - Dignum, Frank
A2 - Murukannaiah, Pradeep
A2 - Theodorou, Andreas
A2 - Yolum, Pinar
PB - IOS Press BV
Y2 - 10 June 2024 through 14 June 2024
ER -