| 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 | 21 | 2024 |
| 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 | 14 | 2020 |
| 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 | 11 | 2023 |
| 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 | 8 | 2022 |
| 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 arXiv preprint arXiv:2401.04729, 2024 | 6* | 2024 |
| 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 | 6 | 2023 |
| 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 | 4 | 2023 |
| 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 | 1 | 2024 |
| 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 | 1 | 2024 |
| Towards a Problem-Oriented Domain Adaptation Framework for Machine Learning P Spitzer, D Martin, L Eichberger, N Kühl arXiv preprint arXiv:2501.04528, 2025 | | 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 | | |
Niklas KühlUniversity of BayreuthPotvrđena adresa e-pošte na uni-bayreuth.de