Sanitizing data for analysis: Designing systems for data understanding J Holstein, M Schemmer, J Jakubik, M Vössing, G Satzger Electronic Markets 33 (1), 52, 2023 | 8 | 2023 |
Towards meaningful anomaly detection: The effect of counterfactual explanations on the investigation of anomalies in multivariate time series M Schemmer, J Holstein, N Bauer, N Kühl, G Satzger arXiv preprint arXiv:2302.03302, 2023 | 8 | 2023 |
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 Proceedings of the ACM on Human-Computer Interaction (CSCW), 2024 | 6 | 2024 |
On the perception of difficulty: Differences between humans and ai P Spitzer, J Holstein, M Vössing, N Kühl Conference on Human Factors in Computing Systems (CHI) - Workshop Automation …, 2023 | 4 | 2023 |
Bridging Domain Expertise and AI through Data Understanding J Holstein International Conference on Intelligent User Interfaces (IUI) - Companion …, 2024 | 3 | 2024 |
Understanding Data Understanding: A Framework to Navigate the Intricacies of Data Analytics J Holstein, P Spitzer, M Hoell, M Vössing, N Kühl European Conference on Information Systems (ECIS), 2024 | 1 | 2024 |
Designing AI Assistants for Novices: Bridging Knowledge Gaps in Onboarding J Holstein, P Müller, M Vössing, H Fromm Hawaii International Conference on System Sciences (HICSS), 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 |