Designing human-automation collaboration for predictive maintenance

borutecene, Jonas Löwgren


Predictive Maintenance screenshot

Abstract

Concerning the maintenance and upkeep of autonomous warehouses, contemporary developments in industrial digitalization and machine learning are currently fueling a shift from preventive maintenance to predictive maintenance (PdM). We report an ongoing co-design project that explores human-automation collaboration in this direction through a future scenario of baggage handling in an airport where human operators oversee and interact with AI-based predictions. The cornerstones of our design concept are the visualizations of current and predicted system performance and the ability for operators to preview consequences of future actions in relation to performance prediction.


Citation

borutecene, Jonas Löwgren
Designing human-automation collaboration for predictive maintenance
Comp. Proc. Designing Interactive Systems (DIS Companion), 251-256, doi:10.1145/3393914.3395863, 2020.


Acknowledgements

We thank the co-design team members Boris Ahnberg, Emilia Johansson, Elisa Määttänen, Filip Nilsson, Gustav Sternelöv for their participation and generosity. We thank our research engineer Erik Olsson for his hard work in implementing the demonstrator and Jonas Unger and Per Larsson for their technical supervision. This Visual Sweden project is funded by VINNOVA (grant number 2015-07051).