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Philipp Spitzer
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The Impact of Imperfect XAI on Human-AI Decision-Making
K Morrison, P Spitzer, V Turri, M Feng, N Kühl, A Perer
Proceedings of the ACM on Human-Computer Interaction 8 (CSCW1), 1-39, 2024
172024
A new metric for lumpy and intermittent demand forecasts: Stock-keeping-oriented prediction error costs
D Martin, P Spitzer, N Kühl
53rd Annual Hawaii International Conference on System Sciences (HICSS-53 …, 2020
132020
Towards effective human-ai decision-making: The role of human learning in appropriate reliance on ai advice
M Schemmer, A Bartos, P Spitzer, P Hemmer, N Kühl, J Liebschner, ...
Proceedings of International Conference on Information Systems (ICIS), 2023
112023
Training Novices: The Role of Human-AI Collaboration and Knowledge Transfer
P Spitzer, N Kühl, M Goutier
Workshop on Human-Machine Collaboration and Teaming (HM-CaT 2022), 23rd July …, 2022
82022
ML-Based Teaching Systems: A Conceptual Framework
P Spitzer, N Kühl, D Heinz, G Satzger
Proceedings of the ACM on Human-Computer Interaction 7 (CSCW2), 1-25, 2023
52023
On the Effect of Contextual Information on Human Delegation Behavior in Human-AI collaboration
P Spitzer, J Holstein, P Hemmer, M Vössing, N Kühl, D Martin, G Satzger
arXiv preprint arXiv:2401.04729, 2024
42024
On the perception of difficulty: Differences between humans and ai
P Spitzer, J Holstein, M Vössing, N Kühl
CHI 2023 Workshop: AutomationXP23: Intervening, Teaming, Delegating Creating …, 2023
42023
Transferring Domain Knowledge with (X) AI-Based Learning Systems
P Spitzer, N Kühl, M Goutier, M Kaschura, G Satzger
Proceedings of European Conference on Information Systems (ECIS), 2024
12024
Understanding Data Understanding: A Framework to Navigate the Intricacies of Data Analytics
J Holstein, P Spitzer, M Hoell, M Vössing, N Kühl
Proceedings of European Conference on Information Systems (ECIS), 2024
12024
Human Delegation Behavior in Human-AI Collaboration: The Effect of Contextual Information
P Spitzer, J Holstein, P Hemmer, M Vössing, N Kühl, D Martin, G Satzger
2025
Don't be Fooled: The Misinformation Effect of Explanations in Human-AI Collaboration
P Spitzer, J Holstein, K Morrison, K Holstein, G Satzger, N Kühl
arXiv preprint arXiv:2409.12809, 2024
2024
Looking Through the Deep Glasses: How Large Language Models Enhance Explainability of Deep Learning Models
P Spitzer, S Celis, D Martin, N Kühl, G Satzger
Proceedings of Mensch und Computer 2024, 566-570, 2024
2024
(X) AI as a Teacher: Learning with Explainable Artificial Intelligence
P Spitzer, M Goutier, N Kühl, G Satzger
Proceedings of Mensch und Computer 2024, 571-576, 2024
2024
Towards a Problem-Oriented Domain Adaptation Framework for Machine Learning
D Martin, L Eichberger, N Kühl, P Spitzer
Available at SSRN 4655450, 0
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