Roberto Barattini

Curriculum
Neuroscience, Technology, and Society, XXXIV series
Grant sponsor
UNIPD
Supervisor

Antonio Paoli
Co-supervisor

Alessandro Beghi
Contact
roberto.barattini@phd.unipd.it

Project description
Thanks to the new information technologies, Industry 4.0 is transforming the manufacture process: updating European factories will be crucial to achieve economic success. In particular, Adaptive Automation has the potential to fundamentally alter the nature of the work required from human operators, not just considerably improving the quality and efficiency of the final result but also labour conditions themselves. By enhancing individual abilities, adaptive automation can also offset many types of handicap: this is especially important since the aging workforce will increase health-related problems in the production cycle. My project aims to examine these improvements in a practical setting and to further investigate: a) factors involved in adaptive systems acceptance by workers; b) operators user experience; c) changes in workers’ self-efficacy and well-being; d) social and organizational dynamics; e) role of habituation over time. In order to do so, I’m planning to conduct three longitudinal studies in real workplaces. Each study will consist in the following three phases: T0 - the first evaluation, performed before the implementation of the adaptive technology in order to investigate company’s needs and expectations; T1 - implementation of the technology (i.e. collaborative robots, adaptive workstations or interfaces) and second evaluation; T2 - from four to six months follow-up to confirm the previous findings and investigate the role of habituation over time. Many research methods will be used, both quantitative and qualitative; physiological measures (heart rate, eye movements, electrodermal activity) will be implemented both to evaluate workload and to serve as feedback to adapt the system on the operators’ needs. This project aims to provide findings useful to enrich future guidelines on new adaptive technologies designs and their adoption on workplaces.