GS
Gerhard Satzger
cs.AIcs.HCcs.LGcs.CVcs.CYAnalytics-based servicesArchetypesCluster analysiscs.CLcs.IR
On Valency
published · living versionsW_7vpn62hp·v1 · currentpublished
Today's Work, Tomorrow's Workforce: Incentivizing Learning in AI-Assisted Work
with Moritz Diener, Daniel Hendriks, Philipp Spitzer, Joshua Holstein +1
1 version
Preprints & journals
33 papers in the corpus · 2020–2026Think Once, Reflect Twice: How Feedback Shapes Human-AI Collaboration2610.19991v1 · Joshua Holstein, Philipp Spitzer, Sebastian Schafer et al.2026 · 0 citationsarXiv
From Model Uncertainty to Human Attention: Localization-Aware Visual Cues for Scalable Annotation Review2605.12303v1 · Moussa Kassem Sbeyti, Joshua Holstein, Philipp Spitzer et al.2026 · 0 citationsarXiv
When Thinking Pays Off: Incentive Alignment for Human-AI Collaboration2511.09612v2 · Joshua Holstein, Patrick Hemmer, Gerhard Satzger et al.2025 · 0 citationsarXiv
Development of Mental Models in Human-AI Collaboration: A Conceptual Framework2510.08104v1 · Joshua Holstein, Gerhard Satzger2025 · 0 citationsarXiv
Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability2504.16056v1 · Daniel Hendriks, Philipp Spitzer, Niklas Kuhl et al.2025 · 0 citationsarXiv
Towards Human-Understandable Multi-Dimensional Concept Discovery2503.18629v1 · Arne Grobrugge, Niklas Kuhl, Gerhard Satzger et al.2025 · 0 citationsarXiv
Explainability in AI Based Applications: A Framework for Comparing Different Techniques2410.20873v1 · Arne Grobrugge, Nidhi Mishra, Johannes Jakubik et al.2024 · 4 citationsarXiv
Don't be Fooled: The Misinformation Effect of Explanations in Human-AI Collaboration2409.12809v2 · Philipp Spitzer, Joshua Holstein, Katelyn Morrison et al.2024 · 13 citationsarXiv
Transferring Domain Knowledge with (X)AI-Based Learning Systems2406.01329v1 · Philipp Spitzer, Niklas Kuhl, Marc Goutier et al.2024 · 2 citationsarXiv
Improving Label Error Detection and Elimination with Uncertainty Quantification2405.09602v1 · Johannes Jakubik, Michael Vossing, Manil Maskey et al.2024 · 1 citationarXiv
Complementarity in Human-AI Collaboration: Concept, Sources, and Evidence2404.00029v2 · Patrick Hemmer, Max Schemmer, Niklas Kuhl et al.2024 · 142 citationsarXiv
Human Delegation Behavior in Human-AI Collaboration: The Effect of Contextual Information2401.04729v3 · Philipp Spitzer, Joshua Holstein, Patrick Hemmer et al.2024 · 17 citationsarXiv
Towards Effective Human-AI Decision-Making: The Role of Human Learning in Appropriate Reliance on AI Advice2310.02108v1 · Max Schemmer, Andrea Bartos, Philipp Spitzer et al.2023 · 6 citationsInternational Conference on Information Systems (ICIS 2023)
Improving the Efficiency of Human-in-the-Loop Systems: Adding Artificial to Human Experts2307.03003v2 · Johannes Jakubik, Daniel Weber, Patrick Hemmer et al.2023 · 4 citationsarXiv
ML-Based Teaching Systems: A Conceptual Framework2305.07681v1 · Philipp Spitzer, Niklas Kuhl, Daniel Heinz et al.2023 · 6 citationsarXiv
AI Reliance and Decision Quality: Fundamentals, Interdependence, and the Effects of Interventions2304.08804v4 · Jakob Schoeffer, Johannes Jakubik, Michael Voessing et al.2023 · 22 citationsJournal of Artificial Intelligence Research 82 (2025) 471-501
Enabling Inter-organizational Analytics in Business Networks Through Meta Machine Learning2303.15834v1 · Robin Hirt, Niklas Kuhl, Dominik Martin et al.2023 · 8 citationsarXiv
Human-AI Collaboration: The Effect of AI Delegation on Human Task Performance and Task Satisfaction2303.09224v1 · Patrick Hemmer, Monika Westphal, Max Schemmer et al.2023 · 95 citationsarXiv
Towards Meaningful Anomaly Detection: The Effect of Counterfactual Explanations on the Investigation of Anomalies in Multivariate Time Series2302.03302v1 · Max Schemmer, Joshua Holstein, Niklas Bauer et al.2023 · 4 citationsarXiv
Appropriate Reliance on AI Advice: Conceptualization and the Effect of Explanations2302.02187v3 · Max Schemmer, Niklas Kuhl, Carina Benz et al.2023 · 202 citationsACM 28th International Conference on Intelligent User Interfaces (IUI), 2023
Data-Centric Artificial Intelligence2212.11854v4 · Johannes Jakubik, Michael Vossing, Niklas Kuhl et al.2022 · 12 citationsarXiv
Forming Effective Human-AI Teams: Building Machine Learning Models that Complement the Capabilities of Multiple Experts2206.07948v1 · Patrick Hemmer, Sebastian Schellhammer, Michael Vossing et al.2022 · 29 citationsarXiv
On the Effect of Information Asymmetry in Human-AI Teams2205.01467v1 · Patrick Hemmer, Max Schemmer, Niklas Kuhl et al.2022 · 8 citationsarXiv
On the Influence of Explainable AI on Automation Bias2204.08859v1 · Max Schemmer, Niklas Kuhl, Carina Benz et al.2022 · 21 citationsarXiv
Creating customer value from data: foundations and archetypes of analytics-based services.35602114 · Hunke, Fabian, Heinz, Daniel, Satzger, Gerhard2023 · 39 citationsElectronic markets. 2022;32(2):503-521
Intelligent Decision Assistance Versus Automated Decision-Making: Enhancing Knowledge Work Through Explainable Artificial Intelligence2109.13827v1 · Max Schemmer, Niklas Kuhl, Gerhard Satzger2021 · 7 citationsarXiv
Needmining: Designing Digital Support to Elicit Needs from Social Media2101.06146v1 · Niklas Kuhl, Gerhard Satzger2021 · 2 citationsarXiv
Utilizing Concept Drift for Measuring the Effectiveness of Policy Interventions: The Case of the COVID-19 Pandemic2012.03728v2 · Lucas Baier, Niklas Kuhl, Jakob Schoffer et al.2020 · 1 citationarXiv
Switching Scheme: A Novel Approach for Handling Incremental Concept Drift in Real-World Data Sets2011.02738v1 · Lucas Baier, Vincent Kellner, Niklas Kuhl et al.2020 · 8 citationsarXiv
How to Learn from Others: Transfer Machine Learning with Additive Regression Models to Improve Sales Forecasting2005.10698v1 · Robin Hirt, Niklas Kuhl, Yusuf Peker et al.2020 · 8 citationsarXiv
Handling Concept Drifts in Regression Problems -- the Error Intersection Approach2004.00438v1 · Lucas Baier, Marcel Hofmann, Niklas Kuhl et al.2020 · 16 citationsarXiv
Machine Learning in Artificial Intelligence: Towards a Common Understanding2004.04686v1 · Niklas Kuhl, Marc Goutier, Robin Hirt et al.2020 · 77 citationsarXiv
Needmining: Identifying micro blog data containing customer needs2003.05917v1 · Niklas Kuhl, Jan Scheurenbrand, Gerhard Satzger2020 · 25 citationsarXiv
Career total: 218 works. 33 are in this corpus.
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