The aim of the Arbeitswelt-Plus project is to establish a regional competence centre "AI in the working world of industrial SMEs" (KIAM). It is intended to act as a contact point for companies and all other players in the industrial world of work. This project takes place as part of the it's OWL technology cluster with partners from the field.

The Collaborative Research Centre/Transregio "Constructing Explainability", newly established by the DFG at Paderborn University and Bielefeld University on 1 July 2021, deals with the question of how transparency of algorithmic decisions can be created, in particular through black-box methods of modern artificial intelligence. We are particularly involved in the following two sub-projects:

A03 - Co-constructing explanations with emotional alignment between AI-explainer and human explainee: Emotional reactions are unavoidable in social interactions. The underlying assumption of project A03 is that emotional cues from the addressee are important feedback for the explainer. Furthermore, emotions influence the human understanding process, which is reflected in the questions asked by the addressee. The aim of this project is the technological development of an emotion-based model of understanding that supports the decision-making of addressees.

C02 - Interactive learning of explainable, situation-adapted decision models: Emotional reactions are unavoidable in social interactions. The underlying assumption of project A03 is that emotional cues from the addressee are important feedback for the explainer. Furthermore, emotions influence the human understanding process, which is reflected in the questions asked by the addressee. The aim of this project is the technological development of an emotion-based model of understanding that supports the decision-making of addressees.

As part of the EcoDrive project, we are conducting field experiments with professional drivers to investigate how companies need to use telematics systems to achieve the most efficient, effective and sustainable improvement in driving behaviour. The project is being carried out in co-operation with permanent partners from the field.

PredicTeams aims to develop a practice-orientated framework for predictive competence management for agile teams that enables companies to manage the transition to agile teamwork in digital working environments. The project is being carried out in cooperation with companies from the it's OWL technology cluster.

This purely academic research project on teamwork is concerned with the extent to which the heterogeneity of team members influences team performance and, in particular, which types of heterogeneity have an impact on team performance.

As part of the Orient project, we researched the introduction of new technologies and the learning of new skills ("orientation") for the effective use of technologies in the sense of co-creation in the field of care as part of a large research consortium. In particular, the focus was on the use of care robots. While collaboration with stakeholders from the care sector took place repeatedly within the research project, we did not work with fixed partners from practice in this project.

The DFG-funded project is mainly concerned with the search for the specific building blocks of organisational identity and is both qualitatively and quantitatively empirically oriented. The project takes place in co-operation with the companies from the business clusters in the Black Forest and in Glashütte.