Smart and adaptive interfaces for INCLUSIVE work environment


Modern manufacturing systems are becoming more and more complex because of higher demands for fast production rate with high quality and flexibility, that is the ability to customize the production lines to the constantly changing market requests.

Despite high levels of automation of machines and robots, humans remain central to manufacturing operations since they take charge of control and supervision of manufacturing activities. Human operators interact with machines and robots by means of human-machine interfaces (HMIs), which are unavoidably becoming very complex as new functions are implemented by the production system and include a wide range of possible operational modes and commands.

In this scenario, human operators experience many difficulties to interact efficiently with the machine; this is particularly true for middle age workers who feel uncomfortable in the interaction with a complex computerized system and young inexperienced or disabled people who cannot effectively manage such complex production systems.

To overcome this gap, INCLUSIVE aims to develop a new concept of interaction between the user and the machines in which the behavior of the automation system adapts to human operator capabilities.

Therefore the project is focused on:

  • Human capabilities measurement
  • Adaptation of interfaces to human capabilities.
  • Teaching and training the unskilled users.

The expected impacts of the INCLUSIVE are:

  • Increase in adaptability, e.g. product customization capability.
  • Quality increase in human and automation performance.
  • Increase worker satisfaction and strengthen global position of industry in Europe through higher social acceptance levels.
  • Wide adoption of the new work environment in advanced manufacturing systems.
More information
Web resources:
Start date: 01-10-2016
End date: 30-09-2019
Total budget - Public funding: 4 324 588,00 Euro - 4 324 588,00 Euro
Call topic: Continuous adaptation of work environments with changing levels of automation in evolving production systems (FoF.2016.04)