Human-centered Engineering

Trustworthy AI systems for transparent decision-making

Human-centered Engineering

The rapid development of artificial intelligence (AI) harbors new challenges for human-machine collaboration. How can intelligent systems optimally support users and developers? How can humans be provided with sufficient information to comprehend and influence the behavior of an intelligent system? Our Human-centered Engineering competence field delves into these issues by using findings and methods from the fields of computer science, engineering, media informatics and psychology.

Human-centered Engineering infografic

We research and design AI systems that meet people's requirements and needs. The focus is on the life cycle of personalized applications such as recommendation systems or decision assistants in the aviation, automotive, healthcare, production and e-commerce sectors. To this end, we create user, domain and task models and use methods of human-computer interaction and machine learning. A particular focus is on making AI decision-making processes comprehensible and strengthening trust in these systems. For example, we develop models and user interfaces that present AI decisions in a transparent and understandable way.

Our aim is to develop practical solutions based on human-centered principles and to promote the integration and acceptance of intelligent systems in cross-industry applications. In doing so, we strive to make the collaboration between humans and AI natural, intuitive, robust and reliable.

Services

We support you in developing and optimizing intelligent, user-centered systems—from the initial idea to the prototype. Our tailored AI solutions are designed for key industries such as aviation, automotive, healthcare, manufacturing, e-commerce, finance, and energy, addressing specific challenges and enabling the practical application of innovative technologies.

Studies & Analyses

  • Context of Use & Requirements Analysis to identify user needs
  • Feasibility Studies for innovative human-machine interactions
  • Acceptance & User Studies to validate and optimize human-AI systems

Development & Prototyping

  • Designing transparent, explainable, secure, and user-centered AI systems
  • Creating intuitive human-AI interfaces
  • Developing personalized AI assistants & recommendation systems
  • Iterative prototyping & optimization

Consulting & Knowledge Transfer

  • Strategic consulting for integrating human-centered AI into processes and products
  • Workshops & training for developers and users
  • Support for AI implementation & integration

Flexible Cooperation Models

  • R&D projects (1–12 months)
  • Short-term analyses & consulting (1 day – 3 months)
  • Publicly funded research projects
  • Tailored workshops & training

More information

fortiss whitepaper Human-centric Machine Learning
Whitepaper Human-centric Machine Learning

Projects

Publications

click to return to top of page