Welcome

We create value from information.   About Us

We do so by:

  • developing methods to generate insights about organizations and customers from small and big data
  • generating empirical knowledge of individual and group behavior in markets
  • designing information systems for organizations and the society
  • shaping the digital transformation of organizations and society.
 

With 7 professors  and associated research groups we contribute to research, education and innovation in the fields of information systems and marketing.

IISM Directors

Prof. Dr. Andreas Geyer-Schulz, Prof. Dr. Martin Klarmann, Prof. Dr. Ann-Kristin Kupfer, Prof. Dr. Alexander Mädche, Hon.-Prof. Dr. Gerhard Satzger, Prof. Dr. Benjamin Scheibehenne (Spokesperson), Prof. Dr. Christof Weinhardt  

News

Successful Completion of the Designing Interactive Systems Capstone Project with EnBW 
Successful Completion of the Designing Interactive Systems Capstone Project with EnBW 

Last week we had the pleasure to visit the EnBW headquarter and attend to the final presentations of this year’s Designing Interactive Systems: Human-AI interaction (DIS) capstone project. The project was conducted as part of the DIS master lecture offered by Prof. Mädche and Julia Seitz and carried out in cooperation with EnBW . The overall goal and topic of this year’s project was to create innovative design solutions for generative AI-based assistants that support customers of EnBW.

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Invitation to participate in the research study “Emotional Watchface”
Invitation to participate in the research study “Emotional Watchface”

In this study we are examining how a smartwatch app that we developed can help people recognize their emotions better and thus increase their emotional competence. The app automatically adapts the watch face based on emotion recognition. The only condition for participation is that you own a smartwatch and already use it in everyday life, or you are experienced with smartwatches.

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Participation at KI Festival in Heilbronn 
Participation at KI Festival in Heilbronn 

The LLM-based Social Robot prototype building on Furhat Robotics developed in a joint project between the h-lab and NIM e.V. was presented at the KI Festival in Heilbronn . The KI Festival took place last weekend (June 29th – 30th 2024). The KI Festival supports all those interested in technology to experience artificial intelligence.

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Brain Bites Talk at Real:Labor Festival on July 3rd  
Brain Bites Talk at Real:Labor Festival on July 3rd  

The Real:Labor Festival from July 2nd – 6th 2024 addresses the question of how citizen participation can be successfully implemented to change city life. A broad spectrum of topics is discussed, ranging from Robotics in nursing, autonomous driving to accessibility and inclusion. In particular he will discuss how participation can be realized and present an ongoing citizen science project on cognitive accessibility accessible on the digital citizen science platform wir-forschen.digital.

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Exchange with Cognitive Systems Engineering Lab from the University of Tokyo 
Exchange with Cognitive Systems Engineering Lab from the University of Tokyo 

Exchange with Cognitive Systems Engineering Lab from the University of Tokyo In a joint workshop we presented and discussed running research projects and new research opportunities in the fields of meeting engineering and biosignal-adaptive video meeting systems. The exchange is closely linked to our research work in the DFG graduate school KD2School and the Future Field III project on hybrid adaptive systems.

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STAMMTISCH | mensch.digital at Triangel | AI Assistants for Reading Support: Discover the future of reading on June 26th at 6 PM
STAMMTISCH | mensch.digital at Triangel | AI Assistants for Reading Support: Discover the future of reading on June 26th at 6 PM

AI assistants such as ChatGPT make our everyday lives much easier by taking over many tasks for us. However, we often tend to rely too much on the results generated without developing a deeper understanding of the potential issues. Current research is investigating how people can be supported in using AI assistants while still maintaining an in-depth understanding. In this workshop, we will focus on the development of a ChatGPT-based reading assistant.

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ECIS 2024 Best Short Paper Award Second Runner Up 
ECIS 2024 Best Short Paper Award Second Runner Up 

 

We are thrilled to have received the Best Short Paper Award Second Runner Up at the 32nd European Conference on Information Systems (ECIS) in Cyprus.  The paper "Robot Shopping Assistants: How Emotional Versus Rational Robot Designs Affect Consumer Trust and Purchase Decisions" by Ulrich Gnewuch (University of Passau), Leon Hanschmann (KIT), Carolin Kaiser (NIM e.V.), Rene Schallner (NIM e.V.), and Alexander Maedche (KIT) describes preliminary results of a research project investigating how an emotional (vs. rational) robot design influences consumers’ trust and purchase decisions. Drawing on trust theory and human–robot interaction literature, we propose a lab experiment in which consumers interact with a large language model (LLM)-based robot shopping assistant based on the robot ‘Furhat’ and OpenAI’s GPT-4. 

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Industry Talk “Using Conversational AI and LLM to Improve Customer Service at Allianz Germany”  
Industry Talk “Using Conversational AI and LLM to Improve Customer Service at Allianz Germany”

We were happy to welcome our alumnus Dr. Peyman Toreini and Daniel Faisst giving an industry talk as part of the master's course "Designing Interactive Systems: Human-AI Interaction".  

 

They provided interesting practical insights into how conversational AI and LLMs can be used to improve the customer service at Allianz Germany. In addition, they also reported challenges of introducing these systems in a large insurance company and how to overcome these challenges. Thank you for sharing your valuable insights from practice with us and also comparing how industry here differs from research! 

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DESRIST 2024 Best Paper Award  
DESRIST 2024 Best Paper Award  

We are delighted to have been awarded Best Paper at the 19th International Conference on Design Science Research in Information Systems and Technology (DESRIST 2024). The paper "Designing an LLM-based Open Data Assistant for Effective Use" by Till Carlo Schelhorn, Ulrich Gnewuch and Alexander Maedche from the human-centered systems lab (h-lab) present meta-requirements and propose initial design principles on how to design a Large Language Model based open data assistant for effective use.

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Industry Talk “AI-driven Design” by Tiffany Knearem, PhD (Google) 
Industry Talk “AI-driven Design” by Tiffany Knearem, PhD (Google)

We were very pleased with the industry talk by Tiffany Knearem given as part of the bachelor's course "Foundations of Interactive Systems". Tiffany works as User Experience Researcher at Google on the Material Design team. She is interested in AI applications for design tooling to support product designer-developer collaboration and unlock creativity. She is an active member of the HCI research community and published regularly at top conferences such as CHI and CSCW.

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Wirtschaftsinformatik: Einführung und Grundlegung –Textbook published at SpringerGabler 
Wirtschaftsinformatik: Einführung und Grundlegung –Textbook published at SpringerGabler

The textbook by Armin Heinzl, Alexander Maedche, and René Riedl introduces to the information systems discipline systematically and fundamentally. It describes the subject area of information systems, the scientific foundations, the role of theory and technology as well scientific methods used in the field of information systems. It introduces a classification of information systems, information infrastructures as well as the importance role of the human in information systems. 

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STAMMTISCH | mensch.digital at Triangel | Personalization in the job search on Mai 29th 6 PM
STAMMTISCH | mensch.digital at Triangel | Personalization in the job search on Mai 29th 6 PM

How could personalized systems make your job search easier in the future? 

  

Personalized systems enable tailoring content and interaction to users based on large language models and biosignals. In the context of job search, for example, this could enable providing a personalized search platform to support finding job offers that perfectly match to the individual profile. Furthermore, personalized mobile assistants for stressful moments during job fairs or personalized training program that help to prepare for upcoming job interviews could be offered. 

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