AIXPERIMENTATIONLAB (Augmented Intelligence Experimentation Laboratory - Augmented Intelligence for employee support in decision-making situations)

Steckbrief

Eckdaten

Duration:
15.09.2020 to 15.08.2023
Organizational Unit:
Chair of Production Metrology and Quality Management, Organizational Development
Funding:
Federal Ministry of Labour and Social Affairs
Status:
Running

Research partner

    • RWTH Aachen University
    • FH Augsburg
    • HEIM & HAUS Bauelemente Produktionsgesellschaft mbH
    • Aumüller Aumatic GmbH
    • aixtema GmbH
    • ver.di

Contact

Name

Ina Heine

Oberingenieurin

Telephone

work Phone
+49 241 80 25782

E-Mail

 

With the AIXPERIMENTATIONLAB (Augmented Intelligence Experimentation Laboratory - Augmented Intelligence for employee support in decision-making situations), an institutionalized format for the design, development, use and diffusion of human-centered applications of artificial intelligence (AI) is created.

The central idea is to combine the relative merits of AI methods with the relative merits of human judgement in a good decision making process that reduces the work psychological burden and strain on employees in service and customer support work areas. To this end, the project adopts a transdisciplinary and transformative research approach: Scientists from RWTH Aachen University and the University of Applied Sciences Augsburg are conducting research together with employees and managers of user companies (HEIM & HAUS Bauelemente Produktionsgesellschaft mbH, HUH; Aumüller Aumatic GmbH, AUM; aixtema GmbH, AIX) and members of the trade union ver.di.

The examination room is divided into three typical working areas of the user companies. Due to the constantly increasing amount of internal product and product accompanying data as well as external field data and customer information, an information overload is already occurring. In addition, employees are confronted with external factors (e.g. customer expectations of fast response times), which are perceived as a burden. Taken together, these developments are increasingly leading to strain, which is particularly evident in short-term decision-making situations in the form of stress and defensive attitudes among employees. These problems are addressed by the participatory development of human-centered AI applications for decision support. The focus is on the design of an "optimal" human AI interface from the employees' point of view. The practical AI applications are first developed and tested in the AIXPERIMENTATIONLAB and then applied in everyday business at HUH, AUM and AIX. In this context, empirically verifiable evidence will be collected with regard to the effects of human-centered AI applications on stress and strain. The findings will be incorporated into a transformation concept that takes into account all relevant aspects of AI introduction into operational work systems.