Patrick Hemmer

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 31

Top Topics

Machine Learning

Artificially Intelligent

Information Asymmetry

Top Venues

Wirtschaftsinformatik

Publications

Leopold Müller, Patrick Hemmer, Moritz Queisner, Igor Sauer, Simeon Allmendinger, Johannes Jakubik, Michael Vössing, Niklas Kühl
Redefining the Laparoscopic Spatial Sense: AI-Based Intra- and Postoperative Measurement from Stereoimages. AAAI (2024)
Patrick Hemmer, Max Schemmer, Niklas Kühl, Michael Vössing, Gerhard Satzger
Complementarity in Human-AI Collaboration: Concept, Sources, and Evidence. CoRR (2024)
Philipp Spitzer, Joshua Holstein, Patrick Hemmer, Michael Vössing, Niklas Kühl, Dominik Martin, Gerhard Satzger
On the Effect of Contextual Information on Human Delegation Behavior in Human-AI collaboration. CoRR (2024)
Max Schemmer, Andrea Bartos, Philipp Spitzer, Patrick Hemmer, Niklas Kühl, Jonas Liebschner, Gerhard Satzger
Towards Effective Human-AI Decision-Making: The Role of Human Learning in Appropriate Reliance on AI Advice. CoRR (2023)
Patrick Hemmer, Monika Westphal, Max Schemmer, Sebastian Vetter, Michael Vössing, Gerhard Satzger
Human-AI Collaboration: The Effect of AI Delegation on Human Task Performance and Task Satisfaction. IUI (2023)
Johannes Jakubik, Daniel Weber, Patrick Hemmer, Michael Vössing, Gerhard Satzger
Improving the Efficiency of Human-in-the-Loop Systems: Adding Artificial to Human Experts. Wirtschaftsinformatik (2023)
Patrick Hemmer, Lukas Thede, Michael Vössing, Johannes Jakubik, Niklas Kühl
Learning to Defer with Limited Expert Predictions. CoRR (2023)
Leopold Müller, Patrick Hemmer, Moritz Queisner, Igor Sauer, Simeon Allmendinger, Johannes Jakubik, Michael Vössing, Niklas Kühl
Redefining the Laparoscopic Spatial Sense: AI-based Intra- and Postoperative Measurement from Stereoimages. CoRR (2023)
Johannes Jakubik, Daniel Weber, Patrick Hemmer, Michael Vössing, Gerhard Satzger
Improving the Efficiency of Human-in-the-Loop Systems: Adding Artificial to Human Experts. CoRR (2023)
Simeon Allmendinger, Patrick Hemmer, Moritz Queisner, Igor Sauer, Leopold Müller, Johannes Jakubik, Michael Vössing, Niklas Kühl
Navigating the Synthetic Realm: Harnessing Diffusion-based Models for Laparoscopic Text-to-Image Generation. CoRR (2023)
Patrick Hemmer, Lukas Thede, Michael Vössing, Johannes Jakubik, Niklas Kühl
Learning to Defer with Limited Expert Predictions. AAAI (2023)
Max Schemmer, Andrea Bartos, Philipp Spitzer, Patrick Hemmer, Niklas Kühl, Jonas Liebschner, Gerhard Satzger
Towards Effective Human-AI Decision-Making: The Role of Human Learning in Appropriate Reliance on AI Advice. ICIS (2023)
Patrick Hemmer, Monika Westphal, Max Schemmer, Sebastian Vetter, Michael Vössing, Gerhard Satzger
Human-AI Collaboration: The Effect of AI Delegation on Human Task Performance and Task Satisfaction. CoRR (2023)
Johannes Jakubik, Benedikt Blumenstiel, Michael Vössing, Patrick Hemmer
Instance Selection Mechanisms for Human-in-the-Loop Systems in Few-Shot Learning. CoRR (2022)
Patrick Hemmer, Max Schemmer, Lara Riefle, Nico Rosellen, Michael Vössing, Niklas Kuehl
Factors that Influence the Adoption of Human-AI Collaboration in Clinical Decision-Making. ECIS (2022)
Patrick Hemmer, Sebastian Schellhammer, Michael Vössing, Johannes Jakubik, Gerhard Satzger
Forming Effective Human-AI Teams: Building Machine Learning Models that Complement the Capabilities of Multiple Experts. CoRR (2022)
Patrick Hemmer, Max Schemmer, Lara Riefle, Nico Rosellen, Michael Vössing, Niklas Kühl
Factors that influence the adoption of human-AI collaboration in clinical decision-making. CoRR (2022)
Max Schemmer, Patrick Hemmer, Maximilian Nitsche, Niklas Kühl, Michael Vössing
A Meta-Analysis on the Utility of Explainable Artificial Intelligence in Human-AI Decision-Making. CoRR (2022)
Max Schemmer, Patrick Hemmer, Niklas Kühl, Carina Benz, Gerhard Satzger
Should I Follow AI-based Advice? Measuring Appropriate Reliance in Human-AI Decision-Making. CoRR (2022)
Lara Riefle, Patrick Hemmer, Carina Benz, Michael Vössing, Jannik Pries
On the Influence of Cognitive Styles on Users' Understanding of Explanations. ICIS (2022)
Patrick Hemmer, Niklas Kühl, Jakob Schoeffer
Utilizing Active Machine Learning for Quality Assurance: A Case Study of Virtual Car Renderings in the Automotive Industry. HICSS (2022)
Max Schemmer, Patrick Hemmer, Maximilian Nitsche, Niklas Kühl, Michael Vössing
A Meta-Analysis of the Utility of Explainable Artificial Intelligence in Human-AI Decision-Making. AIES (2022)
Johannes Jakubik, Benedikt Blumenstiel, Michael Vössing, Patrick Hemmer
Instance Selection Mechanisms for Human-in-the-Loop Systems in Few-Shot Learning. Wirtschaftsinformatik (2022)
Patrick Hemmer, Sebastian Schellhammer, Michael Vössing, Johannes Jakubik, Gerhard Satzger
Forming Effective Human-AI Teams: Building Machine Learning Models that Complement the Capabilities of Multiple Experts. IJCAI (2022)
Johannes Jakubik, Patrick Hemmer, Michael Vössing, Benedikt Blumenstiel, Andrea Bartos, Kamilla Mohr
Designing a Human-in-the-Loop System for Object Detection in Floor Plans. AAAI (2022)
Patrick Hemmer, Max Schemmer, Niklas Kühl, Michael Vössing, Gerhard Satzger
On the Effect of Information Asymmetry in Human-AI Teams. CoRR (2022)
Lara Riefle, Patrick Hemmer, Carina Benz, Michael Vössing, Jannik Pries
On the Influence of Cognitive Styles on Users' Understanding of Explanations. CoRR (2022)
Patrick Hemmer, Max Schemmer, Michael Vössing, Niklas Kühl
Human-AI Complementarity in Hybrid Intelligence Systems: A Structured Literature Review. PACIS (2021)
Patrick Hemmer, Niklas Kühl, Jakob Schöffer
Utilizing Active Machine Learning for Quality Assurance: A Case Study of Virtual Car Renderings in the Automotive Industry. CoRR (2021)
Patrick Hemmer, Niklas Kühl, Jakob Schöffer
DEAL: Deep Evidential Active Learning for Image Classification. CoRR (2020)
Patrick Hemmer, Niklas Kühl, Jakob Schöffer
DEAL: Deep Evidential Active Learning for Image Classification. ICMLA (2020)