Evaluating Explainable Artifical Intelligence - What Users Really Appreciate. - Maximilian Förster; Mathias Klier; Kilian Kluge; Irina Sigler (ECIS, 2020)

Fostering Human Agency: A Process for the Design of User-Centric XAI Systems. - Maximilian Förster; Mathias Klier; Kilian Kluge; Irina Sigler (ICIS, 2020)

Capturing Users' Reality: A Novel Approach to Generate Coherent Counterfactual Explanations. - Maximilian Förster; Philipp Hühn; Mathias Klier; Kilian Kluge (HICSS, 2021)

Explaining the Suspicion: Design of an XAI-based User-Focused Anti-Phishing Measure. - Kilian Kluge; Regina Eckhardt (Wirtschaftsinformatik, 2021)

Human-machine collaboration in online customer service - a long-term feedback-based approach. - Roland Graef; Mathias Klier; Kilian Kluge; Jan-Felix Zolitschka (Electron. Mark., 2021)

Design of human-AI interactions with explainable artificial intelligence. - Kilian Kluge (2021)

User-centric explainable AI: design and evaluation of an approach to generate coherent counterfactual explanations for structured data. - Maximilian Förster; Philipp Hühn; Mathias Klier; Kilian Kluge (J. Decis. Syst., 2023)

Goistrat: gene-of-interest-based sample stratification for the evaluation of functional differences. - Carlos Uziel Pérez Malla; Jessica Kalla; Andreas Tiefenbacher; Gabriel Wasinger; Kilian Kluge; Gerda Egger; Raheleh Sheibani-Tezerji (BMC Bioinform., 2025)