The human-centered systems lab (h-lab) headed by Prof. Dr. Alexander Maedche at the Institute for Information Systems (WIN) focuses in research, education, and innovation on designing human-centered systems for better work and life.  

Our mission is to create impactful knowledge to design human-centered systems for productivity and well-being through relevant and rigor scientific research. We build on (generative) artificial intelligence (AI) and biosignal sensor technologies in our research and follow a human-centered design process. We pursue a socio-technical research paradigm and combine empirical and design science research.

We contribute to the fields of human-computer interaction (HCI) (Mensch-Computer Interaktion) and information systems (IS) (Wirtschaftsinformatik). We believe that delivering cutting-edge knowledge and inspiring education, as well as an ongoing dialog with the public need to go hand in hand to maximize the impact of our work in organizations and society.

News

Final Capstone Presentations  at EnBW – Designing Human-AI Interaction for Advanced Customer  Experiences
Final Capstone Presentations at EnBW – Designing Human-AI Interaction for Advanced Customer Experiences

In partnership with EnBW , students worked on a highly relevant challenge in designing Human-AI Interaction for enhancing customer experiences for services & sales. 8 student groups showcased their unique prototypes and research journeys, all grounded in the human-centered design process. A diverse range of thoughtful, creative, and practical prototypical solutions, each shaped by the group’s individual lens on the problem space, were presented.

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WIN@UIST: 1 Full and 1 Late-Breaking Work Paper Accepted 
WIN@UIST: 1 Full and 1 Late-Breaking Work Paper Accepted?

The Institute for Information Systems (WIN) will be present with one full paper and one late-breaking work paper at the ACM Symposium on User Interface Software and Technology. UIST is the premier forum for innovations in human-computer interfaces and brings together people from diverse areas, including graphical & web user interfaces, tangible & ubiquitous computing, virtual & augmented reality, multimedia, new input & output devices, human-centered AI, and CSCW.

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Final Presentations: ABBA Summer School Biosignal-Adaptive GenAI Systems
Final Presentations: ABBA Summer School Biosignal-Adaptive GenAI Systems

The summer school introduced students to the foundations of biosignal-adaptive GenAI systems through an introduction lecture. Subsequently, the participants worked in teams to develop a GenAI-based learning system that processes biosignals capturing gaze and heart activity data to deliver personalized learning experiences. During the summer school, three teams developed impressive working prototypes following a human-centered design process.

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New Publication in BISE: Job Roles Data Science
New Publication in BISE: Job Roles in Data Science

As organizations collect ever-increasing amounts of data from more and more disparate sources, the demand for personnel with skills in data science continues to grow. Simultaneously, the field of data science is complex and has evolved over time, making it difficult for organizations to identify what job roles and associated skills they need to conduct data science successfully. This lack of clarity leads to the misconception that one person, the so-called data science unicorn, can do it all.

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Can a machine treat depression? ZEIT-article about research done at h-lab
Can a machine treat depression? ZEIT-article about research done at h-lab

In collaboration with psychotherapists from University of Greifswald, Florian Onur Kuhlmeier, Leon Hanschmann and Alexander Maedche at the human-centered systems lab (h-lab) of the Institute for Information Systems (WIN) are exploring how to train AI systems to provide cognitive behavioral therapy to young people with depression. The team developed a chatbot using large language models that learns therapeutic techniques similar to how human therapists are trained, using, treatment manuals, artificial users and feedback from trained psychotherapists.

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Two Industry Talks@Designing Interactive Systems Lecture 
Two Industry Talks@Designing Interactive Systems Lecture?

Two industry talks offered valuable insights into the use of AI agents in two distinct business domains: software development at SAP and customer service at Allianz. We were excited to welcome Prof. Dr. Tobias Schimmer and Dr. Philipp Hoffmann from SAP SE, as well as Dr. Peyman Toreini and Magdalena Feldmeier from Allianz Kunde & Markt GmbH. The talks highlighted current challenges and benefits of introducing agentic information systems for internal stakeholders, such as software developers, and the combination of internal/external stakeholders, such as customer service employees and customers.

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Successful PhD defense by Florian Onur Kuhlmeier 
Successful PhD defense by Florian Onur Kuhlmeier 

Florian Onur Kuhlmeier successfully defended his PhD thesis titled “Personalizing Mental Health Chatbots for Young People“ on June 25th, 2025. His work contributes to research and practice in the design of personalized chatbots to support mental health for young people. It articulates concrete design recommendations, provides empirical evidence on the effectiveness of personalization strategies, and establishes an innovative approach for the low-risk, effective evaluation of LLM-based mental health chatbots.  

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New Publication in JMIR Human Factors:  Designing Chatbots to Treat Depression in Youth: Qualitative Study
New Publication in JMIR Human Factors: Designing Chatbots to Treat Depression in Youth: Qualitative Study

The paper co-authored by Florian Kuhlmeier, Luise Bauch, Ulrich Gnewuch and Stefan Lüttke investigates the problems faced by youth with depression and their adaptive coping strategies, as well as attitudes, expectations, and design preferences for chatbots designed to treat depression. A qualitative study, consisting of a semistructured interview and a concurrent think-aloud session, in which participants interacted with a chatbot prototype with 14 youth with a current or remitted depressive episode as conducted. 

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ECIS Best Conference Short Paper Award – 1st Runner Up 
ECIS Best Conference Short Paper Award – 1st Runner Up 

We are delighted that the paper "Designing Context-Aware Urban Citizen Science Systems for Sustained Citizen Engagement: A Pilot Study in Urban Heat Island Detection" by Niklas von Heyden (KIT, WIN, h-lab) and Jeff Parsons (Memorial University of Newfoundland) won the 1st Runner Up Award for Best Conference Short Paper at ECIS 2025.  

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Call for Applications: Information Systems Scholarship 2025/26 
Call for Applications: Information Systems Scholarship 2025/26 

Bachelor's and master's students studying information systems (IS) at KIT can apply for an IS scholarship. The scholarship will start on October 1st, 2025 and will run for 12 months. Scholarship holders are supported with 300 Euros per month. The scholarship is awarded by the non-profit association "Die Wirtschaftsinformatik e.V." and serves to promote young people in the field of IS.

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Industry Talk by Doga Dogan from Adobe (July 15th) 
Industry Talk by Doga Dogan from Adobe (July 15th) 

We are happy to welcome Doga Dogan (https://www.dogadogan.com), research scientist at Adobe Switzerland. He will give an industry talk titled “Ubiquitous Metadata: Design and Fabrication of Embedded Markers for Real-World Object Identification and Interaction” as part of our B.Sc. lecture Foundations of Interactive Systems (FOIS) on July 15th, 2025, at 9.45 AM. Doga Dogan (PhD’24 from MIT CSAIL) focuses on embedding intelligent interactions and machine-readable information into everyday items.

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WinPod – A PodCast for Publications of the Institute for Information Systems (WIN)

WinPod is a digital service provided by the Institute for Information Systems (WIN) at the Karlsruhe Institute of Technology (KIT) that leverages AI to convert research papers into high-quality audio content, making scholarly work at the Institute for Information Systems (WIN) more accessible and easier to digest.

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