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20222025
most citedA Meta-Analysis of the Utility of Explainable Artificial Intelligence in Human-AI Decision-Making

89 citations · 253 across the 20 of their papers we have counts for

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9 papers · 1 filter

cs.AI2022★ 14 cited

Data-Centric Artificial Intelligence

Johannes Jakubik, Michael Vössing, Niklas Kühl +2

Data-centric artificial intelligence (data-centric AI) represents an emerging paradigm emphasizing that the systematic design and engineering of data is essential for building effe…

cs.HC2022★ 3 cited

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…

cs.HC2022★ 1 cited

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…

cs.LG2022★ 2 cited

Instance Selection Mechanisms for Human-in-the-Loop Systems in Few-Shot Learning

Johannes Jakubik, Benedikt Blumenstiel, Michael Vössing +1

Business analytics and machine learning have become essential success factors for various industries - with the downside of cost-intensive gathering and labeling of data. Few-shot…

cs.AI2022★ 4 cited

Forming Effective Human-AI Teams: Building Machine Learning Models that Complement the Capabilities of Multiple Experts

Patrick Hemmer, Sebastian Schellhammer, Michael Vössing +2

Machine learning (ML) models are increasingly being used in application domains that often involve working together with human experts. In this context, it can be advantageous to d…

cs.HC2022★ 89 cited

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…

cs.HC2022★ 7 cited

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…

cs.HC2022★ 15 cited

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…

cs.SI2022★ 5 cited

Online Emotions During the Storming of the U.S. Capitol: Evidence from the Social Media Network Parler

Johannes Jakubik, Michael Vössing, Dominik Bär +2

The storming of the U.S. Capitol on January 6, 2021 has led to the killing of 5 people and is widely regarded as an attack on democracy. The storming was largely coordinated throug…