User Transparency of Artificial Intelligence and Digital Twins in Production - Research on Lead Applications and the Transfer to Industry. - Carsten Wittenberg; Sabine Boos; Felix Harst; Carsten Lanquillon; Morris Ohrnberger; Nicholas Schloer; Fabian Schoch; Nicolaj C. Stache (HCI (41), 2023)

Deep Anomaly Detection with Extended Transformer-Based Model on Tennessee Eastman Process Dataset. - Fabian Schoch; Pascal Graf; Tobias Schmieg; Carsten Wittenberg; Carsten Lanquillon; Nicolaj C. Stache (CSIT, 2024)

Optimizing the Industrial Human-Machine Interface: Holographic Surfaces and Their Role in Anomaly Detection. - Nicholas Schloer; Sabine Boos; Felix Harst; Carsten Lanquillon; Morris Ohrnberger; Fabian Schoch; Nicolaj C. Stache; Carsten Wittenberg (HCI (62), 2024)

Unlocking Operational Clarity: The Integration of Artificial Intelligence, Digital Twins, and Mixed Reality in Production for Enhanced User Transparency. - Carsten Wittenberg; Sabine Boos; Felix Harst; Carsten Lanquillon; Morris Ohrnberger; Nicholas Schloer; Fabian Schoch; Nicolaj C. Stache (HCI (52), 2024)

Enhancing Knowledge Preservation in Machine Learning Research: Jupyter Notebooks as an Interactive Documentation Tool. - Tobias Schmieg; Fabian Schoch; Nicholas Schloer; Carsten Lanquillon; Carsten Wittenberg; Nicolaj C. Stache (HCI (66), 2025)

Anomaly Detection on Real-World Industrial Manufacturing Applications with Additional Anomaly Type Clustering. - Fabian Schoch; Pascal Graf; Tobias Schmieg; Nicholas Schloer; Carsten Wittenberg; Carsten Lanquillon; Nicolaj C. Stache (HCI (57), 2025)