Research

An overview of my academic work to date.

Peer-Reviewed Papers

• Holstein, J., Böcking, L., Spitzer, P., Kühl, N., Vössing, M., & Satzger, G. (2025). Balancing the Unknown: Exploring Human Reliance on AI Advice Under Aleatoric and Epistemic Uncertainty.ACM Transactions on Computer-Human Interaction.
• Spitzer, P., Holstein, J., Morrison, K., Holstein, K., Satzger, G., & Kühl, N. (2025). Don’t Be Fooled: The Misinformation Effect of Explanations in Human–AI Collaboration.International Journal of Human–Computer Interaction
• Spitzer, P., Morrison, K., Turri, V., Feng, M., Perer, A., & Kühl, N. (2025). Imperfections of XAI: phenomena influencing AI-assisted decision-making.ACM Transactions on Interactive Intelligent Systems
• Spitzer, P., and Holstein, J, Hemmer, P., Vössing, M., Kühl, N., Martin, D. and Satzger, G. (2025). Human Delegation Behavior in Human-AI Collaboration: The Effect of Contextual Information.Proceedings of the ACM on Human-Computer Interaction (CSCW)
• Holstein, J. and Diener, M. & Spitzer, P. (2025). From Consumption to Collaboration: Measuring Interaction Patterns to Augment Human Cognition in Open-Ended Tasks. Workshop at CHI 2025: Tools for Thought: Research and Design for Understanding, Protecting, and Augmenting Human Cognition with Generative AI
• Holstein, J. and Diener, M. & Spitzer, P. (2025). From Consumption to Collaboration: Measuring Interaction Patterns to Augment Human Cognition in Open-Ended Tasks. Workshop at CHI 2025: Tools for Thought: Research and Design for Understanding, Protecting, and Augmenting Human Cognition with Generative AI
• Grobrügge, A., Kühl, N., Satzger, G., & Spitzer, P. (2025). Looking Towards Human-Understandable Multi-Dimensional Concept Discovery. The IEEE/CVF Conference on Computer Vision and Pattern Recognition
• Mishra, N., Diener, M., Heinz, D., Spitzer, P., & Cudré-Mauroux, P. (2025). Looking Towards ridging Corporate Claims and Public Perception: Real-Time Validation of ESG Initiatives with Social-Media Analytics. In 46th International Conference on Information Systems (ICIS 2023)
• Spitzer, P., Celis, S., Martin, D., Kühl, N., & Satzger, G. (2024). Looking Through the Deep Glasses: How Large Language Models Enhance Explainability of Deep Learning Models. In Proceedings of Mensch und Computer 2024
• Spitzer, P., Goutier, M., Kühl, N., & Satzger, G. (2024). (X)AI as a Teacher: Learning with Explainable Artificial Intelligence. In Proceedings of Mensch und Computer 2024
• Spitzer, P., Kühl, N., Goutier, M., Kaschura, M., & Satzger, G. (2024). Transferring Domain Knowledge with (X) AI-Based Learning Systems. In 32nd European Conference on Information Systems (ECIS 2024).
• Holstein, J., Spitzer, P., Hoell, M., Vössing, M., & Kühl, N. (2024). Understanding Data Understanding: A Framework to Navigate the Intricacies of Data Analytics. In 32nd European Conference on Information Systems (ECIS 2024).
• Morrison, K., Spitzer, P., Turri, V., Feng, M., Kühl, N., & Perer, A. (2024). The Impact of Imperfect XAI on Human-AI Decision-Making. Proceedings of the ACM on Human-Computer Interaction (CSCW)
• Spitzer, P., Holstein, J., Hemmer, P., Vössing, M., Kühl, N., Martin, D., & Satzger, G. (2025). On the Effect of Contextual Information on Human Delegation Behavior in Human-AI collaboration. Proceedings of the ACM on Human-Computer Interaction (CSCW).
• Spitzer, P., Kühl, N., Heinz, D., & Satzger, G. (2023). ML-Based Teaching Systems: A Conceptual Framework. Proceedings of the ACM on Human-Computer Interaction (CSCW)
• Schemmer, M., Bartos, A., Spitzer, P., Hemmer, P., Kühl, N., Liebschner, J., & Satzger, G. (2023). Towards Effective Human-AI Decision-Making: The Role of Human Learning in Appropriate Reliance on AI Advice. In 44th International Conference on Information Systems (ICIS 2023)
• Spitzer, P., Holstein, J., Vössing, M., & Kühl, N. (2023). On the Perception of Difficulty: Differences between Humans and AI. Workthop at CHI 2023 - AutomationXP23: Intervening, Teaming, Delegating Creating Engaging Automation Experiences.
• Spitzer, P., Kühl, N., & Goutier, M. (2022). Training Novices: The Role of Human-AI Collaboration and Knowledge Transfer. In Workshop on Human-Machine Collaboration and Teaming (HM-CaT 2022)
• Martin, D., Spitzer, P., & Kühl, N. (2020). A New Metric for Lumpy and Intermittent Demand Forecasts: Stock-keeping-oriented Prediction Error Costs. In 53rd Annual Hawaii International Conference on System Sciences (HICSS-53)