Philipp Spitzer
Cited by
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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
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
On the perception of difficulty: Differences between humans and ai
P Spitzer, J Holstein, M Vössing, N Kühl
arXiv preprint arXiv:2304.09803, 2023
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
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, ...
arXiv preprint arXiv:2310.02108, 2023
Understanding Data Understanding: A Framework to Navigate the Intricacies of Data Analytics
J Holstein, P Spitzer, M Hoell, M Vössing, N Kühl
arXiv preprint arXiv:2405.07658, 2024
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
Transferring Domain Knowledge with (X) AI-Based Learning Systems
P Spitzer, N Kühl, M Goutier, M Kaschura, G Satzger
arXiv preprint arXiv:2406.01329, 2024
The Impact of Imperfect XAI on Human-AI Decision-Making
K Morrison, P Spitzer, V Turri, M Feng, N Kühl, A Perer
arXiv preprint arXiv:2307.13566, 2023
Artificial Intelligence in Service Systems
P Spitzer, M Vössing
N Kühl, P Spitzer
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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