89 citations · 253 across the 20 of their papers we have counts for
5 papers · 2 filters
On the Influence of Cognitive Styles on Users' Understanding of Explanations
Lara Riefle, Patrick Hemmer, Carina Benz +2
Artificial intelligence (AI) is becoming increasingly complex, making it difficult for users to understand how the AI has derived its prediction. Using explainable AI (XAI)-methods…
An Empirical Evaluation of Predicted Outcomes as Explanations in Human-AI Decision-Making
Johannes Jakubik, Jakob Schöffer, Vincent Hoge +2
In this work, we empirically examine human-AI decision-making in the presence of explanations based on predicted outcomes. This type of explanation provides a human decision-maker…
A Meta-Analysis of the Utility of Explainable Artificial Intelligence in Human-AI Decision-Making
Max Schemmer, Patrick Hemmer, Maximilian Nitsche +2
Research in artificial intelligence (AI)-assisted decision-making is experiencing tremendous growth with a constantly rising number of studies evaluating the effect of AI with and…
On the Effect of Information Asymmetry in Human-AI Teams
Patrick Hemmer, Max Schemmer, Niklas Kühl +2
Over the last years, the rising capabilities of artificial intelligence (AI) have improved human decision-making in many application areas. Teaming between AI and humans may even l…
Factors that influence the adoption of human-AI collaboration in clinical decision-making
Patrick Hemmer, Max Schemmer, Lara Riefle +3
Recent developments in Artificial Intelligence (AI) have fueled the emergence of human-AI collaboration, a setting where AI is a coequal partner. Especially in clinical decision-ma…