On May 6, 2025, the new "Industry on Campus" partnership between the Karlsruhe Institute of Technology (KIT) and EnBW Energie Baden-Württemberg AG was officially launched. The aim of the partnership is to closely integrate corporate practice and the research ecosystem to investigate and design innovative use cases for AI-based business processes at EnBW. The cooperation is embedded in the Karlsruhe Digital Service Research & Innovation Hub (KSRI) and aims to promote cooperation between KIT and EnBW in general.

Overall, 9 members of the Institute for Information Systems (WIN) attended CHI 2025 and contributed 4 full papers and 3 late breaking work papers. Furthermore, the workshop Hybrid Automation Experience – Communication, Coordination, and Collaboration within Human-AI Teams was co-organized and a workshop poster titled “Wearable Brain-Computer Interfaces for Everyday Mental Fatigue Research” was presented in the HCI and Health Workshop.

The Institute for Information Systems (WIN) will be represented with 8 papers at the European Conference on Information Systems, which will take place in Amman, Jordan in June. Congratulations to all authors!

In the new public funded project MenschKI! the impact of the introduction and use of Generative AI on employees is investigated and practical solutions empowering employees for effective use of Generative AI with personalized learning and adaptation are developed. MenschKI! is is coordinated by the Institute for Information Systems (Prof. Mädche, Prof. Weinhardt) and funded by the Artificial Intelligence in Work and Society Observatory of the Digital Work Society Think Tank at the Federal Ministry of Labor and Social Affairs (BMAS) with €1.67 million.

Niklas holds a Master of Science degree in Electrical Engineering and Information Technology with a specialization in Systems Engineering from KIT and a Bachelor of Engineering degree in Electrical Engineering with a specialization in Automation from Baden-Württemberg Cooperative State University.

Can we use AI to explain its reasoning so that humans can systematically learn from it? Imagine new physicians being taught to detect cancer on X-ray images by the AI system pointing out suspicious spots. Or AI providing second opinions even to advanced radiologists. This opportunity would enable us to use AI to learn even when existing knowledge is either not explicit or when teaching by rare experts does not scale.
 

As part of the Girls’ Day 2025, the workshop ”App Development Made Easy” provided insights into the emerging field of processing and analyzing biosignals captured by sensors from mainstream mobile apps to recognize emotions and design emotion-adaptive apps for daily life of students.

The positioning paper “Continuous Value Shaping – A Framework for Interdisciplinary Service Innovation” has been published in Vol. 35 of Electronic Markets.

In today’s dynamic environment—shaped by rapid technological progress and evolving societal expectations—service innovation is becoming increasingly complex. Traditional, discipline-specific approaches often fall short in addressing the multifaceted challenges of future-oriented value creation.

In this paper, we systematically reviewing and synthesizing 

the existing literature on the machine-learning-based recognition of user traits and states using eye-tracking data. The data synthesis included a conceptual framework that covered the task, context, technology and data processing, and recognition targets.

We are happy to welcome Prof. Dr. Werner Kunz from University of Massachusetts, Boston giving a research talk on "The Future of Work – Understanding the Collaboration Between Humans and Machines".
 
This talk explores the evolving collaboration between human and digital employees in service contexts. As AI and service robots become more prevalent, understanding how humans and machines can effectively work together is crucial. 

Felix Kretzer successfully defended his PhD thesis titled “Designing AI-Based Graphical User Interface Prototyping Assistants“ on March 27th 2025. His work contributes to the fields of human-computer interaction and information systems engineering by providing design knowledge for LLM-based GUI prototyping assistants. His findings present insights for both researchers and practitioners, enabling them to more effectively create GUI prototypes and on this basis ultimately better software systems. 

Christian Boos, Global VP and Head of Sustainability Innovation at SAP and Prof. Alexander Mädche signed a research collaboration agreement on human-centered AI for sustainable business on March 18th 2025. The collaboration focuses on designing human-centered AI-based assistants supporting sustainability professionals in their daily work to protect our planet while driving efficient businesses. As part of the collaboration multiple design science research cycles are performed.