4 citations · 6 across the 3 of their papers we have counts for
4 papers · 1 filter
Transferring Domain Knowledge with (X)AI-Based Learning Systems
Philipp Spitzer, Niklas Kühl, Marc Goutier +2
In numerous high-stakes domains, training novices via conventional learning systems does not suffice. To impart tacit knowledge, experts' hands-on guidance is imperative. However,…
ML-Based Teaching Systems: A Conceptual Framework
Philipp Spitzer, Niklas Kühl, Daniel Heinz +1
As the shortage of skilled workers continues to be a pressing issue, exacerbated by demographic change, it is becoming a critical challenge for organizations to preserve the knowle…
On the Perception of Difficulty: Differences between Humans and AI
Philipp Spitzer, Joshua Holstein, Michael Vössing +1
With the increased adoption of artificial intelligence (AI) in industry and society, effective human-AI interaction systems are becoming increasingly important. A central challenge…
Training Novices: The Role of Human-AI Collaboration and Knowledge Transfer
Philipp Spitzer, Niklas Kühl, Marc Goutier
Across a multitude of work environments, expert knowledge is imperative for humans to conduct tasks with high performance and ensure business success. These humans possess task-spe…