1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.HC2025
Development of Mental Models in Human-AI Collaboration: A Conceptual Framework
Joshua Holstein, Gerhard Satzger
Artificial intelligence has become integral to organizational decision-making and while research has explored many facets of this human-AI collaboration, the focus has mainly been…
cs.AI2025★ 1 cited
Data Quality Challenges in Retrieval-Augmented Generation
Leopold Müller, Joshua Holstein, Sarah Bause +2
Organizations increasingly adopt Retrieval-Augmented Generation (RAG) to enhance Large Language Models with enterprise-specific knowledge. However, current data quality (DQ) framew…
cs.HC2025★ 1 cited
From Consumption to Collaboration: Measuring Interaction Patterns to Augment Human Cognition in Open-Ended Tasks
Joshua Holstein, Moritz Diener, Philipp Spitzer
The rise of Generative AI, and Large Language Models (LLMs) in particular, is fundamentally changing cognitive processes in knowledge work, raising critical questions about their i…