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Michael Vössing
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2020 – today
- 2024
- [j5]Johannes Jakubik, Michael Vössing, Niklas Kühl, Jannis Walk, Gerhard Satzger:
Data-Centric Artificial Intelligence. Bus. Inf. Syst. Eng. 66(4): 507-515 (2024) - [c33]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: 22948-22954 - [c32]Joshua Holstein, Philipp Spitzer, Marieke Hoell, Michael Vössing, Niklas Kühl:
Understanding Data Understanding: A Framework to Navigate the Intricacies of Data Analytics. ECIS 2024 - [c31]Lara Riefle, Patrick Hemmer, Carina Benz, Michael Vössing:
The Role of Cognitive Styles for Explainable AI. ECIS 2024 - [c30]Niklas Kühl, Thomas Setzer, Hansjörg Fromm, Michael Vössing:
Introduction to the Minitrack on Service Analytics. HICSS 2024: 1486-1487 - [i23]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 abs/2401.04729 (2024) - [i22]Patrick Hemmer, Max Schemmer, Niklas Kühl, Michael Vössing, Gerhard Satzger:
Complementarity in Human-AI Collaboration: Concept, Sources, and Evidence. CoRR abs/2404.00029 (2024) - [i21]Joshua Holstein, Philipp Spitzer, Marieke Hoell, Michael Vössing, Niklas Kühl:
Understanding Data Understanding: A Framework to Navigate the Intricacies of Data Analytics. CoRR abs/2405.07658 (2024) - [i20]Johannes Jakubik, Michael Vössing, Manil Maskey, Christopher Wölfle, Gerhard Satzger:
Improving Label Error Detection and Elimination with Uncertainty Quantification. CoRR abs/2405.09602 (2024) - 2023
- [j4]Monika Westphal
, Michael Vössing
Decision control and explanations in human-AI collaboration: Improving user perceptions and compliance. Comput. Hum. Behav. 144: 107714 (2023) - [j3]Joshua Holstein
Sanitizing data for analysis: Designing systems for data understanding. Electron. Mark. 33(1): 52 (2023) - [c29]Patrick Hemmer, Lukas Thede, Michael Vössing, Johannes Jakubik, Niklas Kühl:
Learning to Defer with Limited Expert Predictions. AAAI 2023: 6002-6011 - [c28]Philipp Spitzer, Joshua Holstein, Michael Vössing, Niklas Kühl:
On the Perception of Difficulty: Differences between Human and AI. AutomationXP@CHI 2023 - [c27]Jakob Schoeffer
On the Interdependence of Reliance Behavior and Accuracy in AI-Assisted Decision-Making. HHAI 2023: 46-59 - [c26]Johannes Jakubik
Online Emotions during the Storming of the U.S. Capitol: Evidence from the Social Media Network Parler. ICWSM 2023: 423-434 - [c25]Johannes Jakubik
Toward Foundation Models for Earth Monitoring: Generalizable Deep Learning Models for Natural Hazard Segmentation. IGARSS 2023: 5638-5641 - [c24]Patrick Hemmer
Human-AI Collaboration: The Effect of AI Delegation on Human Task Performance and Task Satisfaction. IUI 2023: 453-463 - [c23]Benedikt Blumenstiel, Johannes Jakubik, Hilde Kühne, Michael Vössing:
What a MESS: Multi-Domain Evaluation of Zero-Shot Semantic Segmentation. NeurIPS 2023 - [c22]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: 85 - [i19]Johannes Jakubik, Michal Muszynski, Michael Vössing, Niklas Kühl, Thomas Brunschwiler:
Toward Foundation Models for Earth Monitoring: Generalizable Deep Learning Models for Natural Hazard Segmentation. CoRR abs/2301.09318 (2023) - [i18]Patrick Hemmer, Monika Westphal
Human-AI Collaboration: The Effect of AI Delegation on Human Task Performance and Task Satisfaction. CoRR abs/2303.09224 (2023) - [i17]Patrick Hemmer, Lukas Thede, Michael Vössing, Johannes Jakubik, Niklas Kühl:
Learning to Defer with Limited Expert Predictions. CoRR abs/2304.07306 (2023) - [i16]Jakob Schoeffer, Johannes Jakubik, Michael Vössing, Niklas Kühl, Gerhard Satzger:
On the Interdependence of Reliance Behavior and Accuracy in AI-Assisted Decision-Making. CoRR abs/2304.08804 (2023) - [i15]Philipp Spitzer, Joshua Holstein
On the Perception of Difficulty: Differences between Humans and AI. CoRR abs/2304.09803 (2023) - [i14]Benedikt Blumenstiel, Johannes Jakubik
What a MESS: Multi-Domain Evaluation of Zero-Shot Semantic Segmentation. CoRR abs/2306.15521 (2023) - [i13]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 abs/2307.03003 (2023) - [i12]Leopold Müller, Patrick Hemmer, Moritz Queisner
Redefining the Laparoscopic Spatial Sense: AI-based Intra- and Postoperative Measurement from Stereoimages. CoRR abs/2311.09744 (2023) - [i11]Simeon Allmendinger
Navigating the Synthetic Realm: Harnessing Diffusion-based Models for Laparoscopic Text-to-Image Generation. CoRR abs/2312.03043 (2023) - 2022
- [j2]Michael Vössing
Designing Transparency for Effective Human-AI Collaboration. Inf. Syst. Frontiers 24(3): 877-895 (2022) - [c21]Johannes Jakubik
Designing a Human-in-the-Loop System for Object Detection in Floor Plans. AAAI 2022: 12524-12530 - [c20]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: 617-626 - [c19]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. ECIS 2022 - [c18]Lara Riefle, Patrick Hemmer, Carina Benz, Michael Vössing, Jannik Pries:
On the Influence of Cognitive Styles on Users' Understanding of Explanations. ICIS 2022 - [c17]Patrick Hemmer, Sebastian Schellhammer, Michael Vössing, Johannes Jakubik
Forming Effective Human-AI Teams: Building Machine Learning Models that Complement the Capabilities of Multiple Experts. IJCAI 2022: 2478-2484 - [c16]Johannes Jakubik
An Empirical Evaluation of Predicted Outcomes as Explanations in Human-AI Decision-Making. PKDD/ECML Workshops (1) 2022: 353-368 - [c15]Johannes Jakubik, Benedikt Blumenstiel, Michael Vössing, Patrick Hemmer:
Instance Selection Mechanisms for Human-in-the-Loop Systems in Few-Shot Learning. Wirtschaftsinformatik 2022 - [i10]Johannes Jakubik
Online Emotions During the Storming of the U.S. Capitol: Evidence from the Social Media Network Parler. CoRR abs/2204.04245 (2022) - [i9]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 abs/2204.09082 (2022) - [i8]Patrick Hemmer, Max Schemmer, Niklas Kühl, Michael Vössing, Gerhard Satzger:
On the Effect of Information Asymmetry in Human-AI Teams. CoRR abs/2205.01467 (2022) - [i7]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 abs/2205.05126 (2022) - [i6]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 abs/2206.07948 (2022) - [i5]Johannes Jakubik, Benedikt Blumenstiel, Michael Vössing, Patrick Hemmer:
Instance Selection Mechanisms for Human-in-the-Loop Systems in Few-Shot Learning. CoRR abs/2207.06835 (2022) - [i4]Johannes Jakubik, Jakob Schöffer, Vincent Hoge, Michael Vössing, Niklas Kühl:
An Empirical Evaluation of Predicted Outcomes as Explanations in Human-AI Decision-Making. CoRR abs/2208.04181 (2022) - [i3]Lara Riefle, Patrick Hemmer, Carina Benz, Michael Vössing, Jannik Pries:
On the Influence of Cognitive Styles on Users' Understanding of Explanations. CoRR abs/2210.02123 (2022) - [i2]Johannes Jakubik, Michael Vössing, Niklas Kühl, Jannis Walk, Gerhard Satzger:
Data-centric Artificial Intelligence. CoRR abs/2212.11854 (2022) - 2021
- [c14]Max Schemmer, Daniel Heinz, Lucas Baier, Michael Vössing, Niklas Kühl:
Conceptualizing Digital Resilience for AI-based Information Systems. ECIS 2021 - [c13]Patrick Zschech, Jannis Walk, Kai Heinrich, Michael Vössing, Niklas Kühl:
A Picture is Worth a Collaboration: Accumulating Design Knowledge for Computer-Vision-based Hybrid Intelligence Systems. ECIS 2021 - [c12]Patrick Hemmer, Max Schemmer, Michael Vössing, Niklas Kühl:
Human-AI Complementarity in Hybrid Intelligence Systems: A Structured Literature Review. PACIS 2021: 78 - [i1]Patrick Zschech, Jannis Walk, Kai Heinrich, Michael Vössing, Niklas Kühl:
A Picture is Worth a Collaboration: Accumulating Design Knowledge for Computer-Vision-based Hybrid Intelligence Systems. CoRR abs/2104.11600 (2021) - 2020
- [b1]Michael Vössing:
Designing human-computer collaboration: transparency and automation for intelligence augmentation. Karlsruhe Institute of Technology, Germany, 2020, pp. 1-162 - [p1]Michael Vössing, Niklas Kühl:
Industrial Maintenance in the Digital World. Smart Service Management 2020: 23-32
2010 – 2019
- 2019
- [j1]Thomas Pschybilla
Priorisierung von Digitalisierungsprojekten entlang der gesamten kundenorientierten Prozesskette im Maschinenbau. HMD Prax. Wirtsch. 56(6): 1144-1156 (2019) - [c11]Michael Vössing:
Redesigning Service Operations for the Digital World: towards Automated and Data-Driven field Service Planning. ECIS 2019 - [c10]Michael Vössing, Felix Potthoff, Niklas Kühl, Gerhard Satzger:
Designing Useful Transparency to Improve Process Performance - Evidence from an Automated production Line. ECIS 2019 - 2018
- [c9]Clemens Wolff, Michael Vössing, Björn Schmitz, Hansjörg Fromm:
Towards a Technician Marketplace using Capacity-Based Pricing. HICSS 2018: 1-10 - [c8]Michael Vössing, Jörg Siegel, Niels Feldmann, Thorsten Wuest
Employee-Centric Service Innovation: A Viable Proxy for Customer-Intimacy for Product-Focused Enterprises. IESS 2018: 88-100 - [c7]Michael Vössing, Clemens Wolff, Volkmar Reinerth:
Digitalization of Field Service Planning: The Role of Organizational Knowledge and Decision Support Systems. IESS 2018: 138-150 - [c6]Sebastian R. Bader, Clemens Wolff, Michael Vössing, Jan-Peter Schmidt:
Towards Enabling Cyber-Physical Systems in Brownfield Environments - Leveraging Environmental Information to Derive Virtual Representations of Unconnected Assets. IESS 2018: 165-176 - [c5]Clemens Wolff, Michael Vössing:
A Framework for the Simulation-Based Estimation of Downtime Costs. IESS 2018: 247-260 - [c4]Clemens Wolff, Michael Vössing, Niklas Kühl:
Using Monte-Carlo simulation to Measure the Business-Relevant Impact of Planning uncertainty on field Service Delivery. WSC 2018: 3205-3216 - 2017
- [c3]Michael Vössing:
Towards Managing Complexity and Uncertainty in Field Service Technician Planning. CBI (1) 2017: 312-319 - [c2]Sebastian R. Bader, Michael Vössing, Clemens Wolff, Jannis Walk, Maria Maleshkova:
Supporting the Dispatching Process for Maintenance Technicians in Industry 4.0. WM 2017: 131-136 - 2016
- [c1]Michael Vössing, Johannes Kunze von Bischhoffshausen:
Field Service Technician Management 4.0. OR 2016: 63-68
Coauthor Index
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last updated on 2024-11-20 20:57 CET by the dblp team
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