Patrick Hemmer, M.Sc.

Patrick Hemmer, M.Sc.

  • Kaiserstr. 89
    76133 Karlsruhe


Patrick is a research associate at the Applied AI Lab within the Karlsruhe Digital Service Research & Innovation Hub (KSRI). His research interests include:

  • Human-Centered Artificial Intelligence
  • Machine Learning & Deep Learning
  • Human-AI Complementarity

Please feel free to reach out if you are interested in writing a bachelor or master thesis on one of these topics.

Curriculum Vitae

Patrick graduated from the Karlsruhe Institute of Technology (KIT) with a bachelor’s and a master’s degree in Industrial Engineering and Management. As part of the master’s degree, he studied for one year at the University of Linköping in Sweden and participated in the Service Design Thinking program of the KSRI.

Community Services

Reviewer at:

  • Decision Support Systems
  • Business & Information Systems Engineering
  • Workshop on Trust and Reliance in AI-Assisted Tasks (TRAIT) @ CHI Conference on Human Factors in Computing Systems
  • European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database
  • AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society
  • European Conference on Information Systems
  • International Conference on Information Systems
  • Hawaii International Conference on System Sciences


Conference Papers
The Role of Cognitive Styles for Explainable AI
Riefle, L.; Hemmer, P.; Benz, C.; Vössing, M.
2024. 32nd European Conference on Information Systems (ECIS), Association for Information Systems (AIS)
Conference Papers
Towards Effective Human-AI Decision-Making: The Role of Human Learning in Appropriate Reliance on AI Advice
Schemmer, M.; Bartos, A.; Spitzer, P.; Hemmer, P.; Liebschner, J.; Satzger, G.; Kühl, N.
2023. International Conference on Information Systems, 17 S. doi:10.48550/arXiv.2310.02108
Improving the Efficiency of Human-in-the-Loop Systems: Adding Artificial to Human Experts
Jakubik, J.; Weber, D.; Hemmer, P.; Vössing, M.; Satzger, G.
2023. Proceedings of the International Conference on Wirtschaftsinformatik, 18th - 21st Sept 2023, Paderborn
Learning to Defer with Limited Expert Predictions
Hemmer, P.; Thede, L.; Vössing, M.; Jakubik, J.; Kühl, N.
2023. Proceedings of the 37th AAAI Conference on Artificial Intelligence, Washington, DC, February 7-14, 2023
Human-AI Collaboration: The Effect of AI Delegation on Human Task Performance and Task Satisfaction
Hemmer, P.; Westphal, M.; Schemmer, M.; Vetter, S.; Vössing, M.; Satzger, G.
2023. Proceedings of the 28th International Conference on Intelligent User Interfaces (IUI 2023), 453–463, Association for Computing Machinery (ACM). doi:10.1145/3581641.3584052
Conference Papers
On the Influence of Cognitive Styles on Users’ Understanding of Explanations
Riefle, L.; Hemmer, P.; Benz, C.; Vössing, M.; Pries, J.
2022. Proceedings of the Forty-Third International Conference on Information Systems (ICIS)
A Meta-Analysis of the Utility of Explainable Artificial Intelligence in Human-AI Decision-Making
Schemmer, M.; Hemmer, P.; Nitsche, M.; Kühl, N.; Vössing, M.
2022. Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society, 1st-3rd August, 2022, Oxford. Ed. Vincent Conitzer, 617–626, Association for Computing Machinery (ACM). doi:10.1145/3514094.3534128
Factors that Influence the Adoption of Human-AI Collaboration in Clinical Decision-Making
Hemmer, P.; Schemmer, M.; Riefle, L.; Rosellen, N.; Vössing, M.; Kühl, N.
2022. Proceedings of the 30th European Conference on Information Systems (ECIS), Timișoara, RO, June 18 - 24, 2022, Association for Information Systems (AIS)
Forming Effective Human-AI Teams: Building Machine Learning Models that Complement the Capabilities of Multiple Experts
Hemmer, P.; Schellhammer, S.; Vössing, M.; Jakubik, J.; Satzger, G.
2022. Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2478–2484, International Joint Conferences on Artificial Intelligence Organization (IJCAI). doi:10.24963/ijcai.2022/344
Designing Resilient AI-based Robo-Advisors: A Prototype for Real Estate Appraisal
Schemmer, M.; Hemmer, P.; Kühl, N.; Schäfer, S.
2022. 17th International Conference on Design Science Research in Information Systems and Technology, 1st - 3rd June 2022, St. Petersburg, FL, USA
Instance Selection Mechanisms for Human-in-the-Loop Systems in Few-Shot Learning
Jakubik, J.; Blumenstiel, B.; Vössing, M.; Hemmer, P.
2022. Wirtschaftsinformatik 2022 : Proceedings. Bd.: 6, AIS eLibrary (AISeL)
Designing a Human-in-the-Loop System for Object Detection in Floor Plans
Jakubik, J.; Hemmer, P.; Vössing, M.; Blumenstiel, B.; Bartos, A.; Mohr, K.
2022. Proceedings of the 36th Annual Conference on Innovative Applications of Artificial Intelligence (IAAI 2022), Online, 22.02.2022-01.03.2022, 12524–12530, Association for the Advancement of Artificial Intelligence (AAAI). doi:10.1609/aaai.v36i11.21522
Utilizing Active Machine Learning for Quality Assurance: A Case Study of Virtual Car Renderings in the Automotive Industry
Hemmer, P.; Kühl, N.; Schöffer, J.
2022. Proceedings of the Hawaii International Conference on Systems Sciences (HICSS-55)
On the Effect of Information Asymmetry in Human-AI Teams
Hemmer, P.; Schemmer, M.; Kühl, N.; Vössing, M.; Satzger, G.
Conference Papers
Human-AI Complementarity in Hybrid Intelligence Systems: A Structured Literature Review
Hemmer, P.; Schemmer, M.; Vössing, M.; Kühl, N.
2021. PACIS 2021 Proceedings
Object Detection in Floor Plans: Lessons From Designing a Human-in-the-Loop System
Hemmer, P.; Vössing, M.; Blumenstiel, B.
2021, March 24. Artificial Intelligence in Architecture, Engineering and Construction (2021), Online, March 24–25, 2021
Conference Papers
DEAL: Deep Evidential Active Learning for Image Classification
Hemmer, P.; Kühl, N.; Schöffer, J.
2020. 19th IEEE International Conference On Machine Learning And Applications, December, Miami, Florida, December 14-17, 2020, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICMLA51294.2020.00141