Artificial intelligence and machine learning N Kühl, M Schemmer, M Goutier, G Satzger Electronic Markets 32 (4), 2235-2244, 2022 | 119 | 2022 |
Machine learning in artificial intelligence: Towards a common understanding N Kühl, M Goutier, R Hirt, G Satzger arXiv preprint arXiv:2004.04686, 2020 | 109 | 2020 |
Supporting customer-oriented marketing with artificial intelligence: automatically quantifying customer needs from social media N Kühl, M Mühlthaler, M Goutier Electronic Markets 30 (2), 351-367, 2020 | 105 | 2020 |
Human vs. supervised machine learning: Who learns patterns faster? N Kühl, M Goutier, L Baier, C Wolff, D Martin Cognitive Systems Research 76, 78-92, 2022 | 61 | 2022 |
Literature vs. Twitter: Empirical insights on customer needs in e-mobility N Kühl, M Goutier, A Ensslen, P Jochem Journal of cleaner production 213, 508-520, 2019 | 54 | 2019 |
Training novices: The role of human-ai collaboration and knowledge transfer P Spitzer, N Kühl, M Goutier arXiv preprint arXiv:2207.00497, 2022 | 8 | 2022 |
Automatically quantifying customer need tweets: Towards a supervised machine learning approach N Kühl, M Mühlthaler, M Goutier | 7 | 2018 |
Navigating autonomy and control in human-AI delegation: User responses to technology-versus user-invoked task allocation M Adam, C Diebel, M Goutier, A Benlian Decision Support Systems 180, 114193, 2024 | 6 | 2024 |
Needmining: Evaluating a whitelist-based assignment method to quantify customer needs from micro blog data N Kuehl, M Goutier Operations Research Proceedings 2016: Selected Papers of the Annual …, 2017 | 3 | 2017 |
Proactive and Reactive Help from Intelligent Agents in Identity-Relevant Tasks M Goutier, C Diebel, M Adam, A Benlian | 2 | 2024 |
“Need tweets”: new insights about customer needs from micro blog data in the field of E-mobility N Kühl, M Goutier Gesellschaft für Informatik eV, 2016 | 2 | 2016 |
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 | 1 | 2024 |
Immersive Experiments with Minetest M Goutier OSF, 2023 | 1 | 2023 |
The Threatening Effect of Invoked Help from Highly Competent Intelligent Agents M Adam, C Diebel, M Goutier | 1 | 2023 |
Empirical insights on customer needs in e-mobility product service systems N Kühl, M Goutier, A Ensslen, P Jochem | 1 | 2017 |
Immersive Experiments… and How Minetest Can Enable It M Goutier, C Diebel, M Adam, A Benlian | | 2025 |
When AI-Based Agents Are Proactive: Implications for Competence and System Satisfaction in Human–AI Collaboration C Diebel, M Goutier, M Adam, A Benlian Business & Information Systems Engineering, 1-20, 2025 | | 2025 |
(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 |
Automatic Classification of IS Research Papers: A Design Science Approach JH Schmidt, M Goutier, L Koch, R Schwinghammer, A Benlian | | 2024 |
Automatic Classification of IS Research Papers JH Schmidt, M Goutier, L Koch, R Schwinghammer, A Benlian | | 2024 |