Field Service Technician Management 4.0. - Michael Vössing; Johannes Kunze von Bischhoffshausen (OR, 2016)

Towards Managing Complexity and Uncertainty in Field Service Technician Planning. - Michael Vössing (CBI (1), 2017)

Supporting the Dispatching Process for Maintenance Technicians in Industry 4.0. - Sebastian R. Bader; Michael Vössing; Clemens Wolff; Jannis Walk; Maria Maleshkova (WM, 2017)

Towards a Technician Marketplace using Capacity-Based Pricing. - Clemens Wolff; Michael Vössing; Björn Schmitz; Hansjörg Fromm (HICSS, 2018)

Towards Enabling Cyber-Physical Systems in Brownfield Environments - Leveraging Environmental Information to Derive Virtual Representations of Unconnected Assets. - Sebastian R. Bader; Clemens Wolff; Michael Vössing; Jan-Peter Schmidt (IESS, 2018)

Employee-Centric Service Innovation: A Viable Proxy for Customer-Intimacy for Product-Focused Enterprises. - Michael Vössing; Jörg Siegel; Niels Feldmann; Thorsten Wuest; Carina Benz (IESS, 2018)

Digitalization of Field Service Planning: The Role of Organizational Knowledge and Decision Support Systems. - Michael Vössing; Clemens Wolff; Volkmar Reinerth (IESS, 2018)

A Framework for the Simulation-Based Estimation of Downtime Costs. - Clemens Wolff; Michael Vössing (IESS, 2018)

Using Monte-Carlo simulation to Measure the Business-Relevant Impact of Planning uncertainty on field Service Delivery. - Clemens Wolff; Michael Vössing; Niklas Kühl 001 (WSC, 2018)

Redesigning Service Operations for the Digital World: towards Automated and Data-Driven field Service Planning. - Michael Vössing (ECIS, 2019)

Designing Useful Transparency to Improve Process Performance - Evidence from an Automated production Line. - Michael Vössing; Felix Potthoff; Niklas Kühl 001; Gerhard Satzger (ECIS, 2019)

Priorisierung von Digitalisierungsprojekten entlang der gesamten kundenorientierten Prozesskette im Maschinenbau. - Thomas Pschybilla; Manuela Hofmann; Tobias Enders; Michael Vössing (HMD Prax. Wirtsch., 2019)

Industrial Maintenance in the Digital World. - Michael Vössing; Niklas Kühl 001 (Smart Service Management, 2020)

Designing human-computer collaboration: transparency and automation for intelligence augmentation. - Michael Vössing (2020)

Conceptualizing Digital Resilience for AI-based Information Systems. - Max Schemmer; Daniel Heinz; Lucas Baier; Michael Vössing; Niklas Kühl 001 (ECIS, 2021)

A Picture is Worth a Collaboration: Accumulating Design Knowledge for Computer-Vision-based Hybrid Intelligence Systems. - Patrick Zschech; Jannis Walk; Kai Heinrich; Michael Vössing; Niklas Kühl 001 (ECIS, 2021)

Human-AI Complementarity in Hybrid Intelligence Systems: A Structured Literature Review. - Patrick Hemmer; Max Schemmer; Michael Vössing; Niklas Kühl 001 (PACIS, 2021)

Designing a Human-in-the-Loop System for Object Detection in Floor Plans. - Johannes Jakubik; Patrick Hemmer; Michael Vössing; Benedikt Blumenstiel; Andrea Bartos; Kamilla Mohr (AAAI, 2022)

A Meta-Analysis of the Utility of Explainable Artificial Intelligence in Human-AI Decision-Making. - Max Schemmer; Patrick Hemmer; Maximilian Nitsche; Niklas Kühl 001; Michael Vössing (AIES, 2022)

Factors that Influence the Adoption of Human-AI Collaboration in Clinical Decision-Making. - Patrick Hemmer; Max Schemmer; Lara Riefle; Nico Rosellen; Michael Vössing; Niklas Kühl 001 (ECIS, 2022)

On the Influence of Cognitive Styles on Users' Understanding of Explanations. - Lara Riefle; Patrick Hemmer; Carina Benz; Michael Vössing; Jannik Pries (ICIS, 2022)

Forming Effective Human-AI Teams: Building Machine Learning Models that Complement the Capabilities of Multiple Experts. - Patrick Hemmer; Sebastian Schellhammer; Michael Vössing; Johannes Jakubik; Gerhard Satzger (IJCAI, 2022)

An Empirical Evaluation of Predicted Outcomes as Explanations in Human-AI Decision-Making. - Johannes Jakubik; Jakob Schöffer; Vincent Hoge; Michael Vössing; Niklas Kühl 001 (PKDD/ECML Workshops (1), 2022)

Instance Selection Mechanisms for Human-in-the-Loop Systems in Few-Shot Learning. - Johannes Jakubik; Benedikt Blumenstiel; Michael Vössing; Patrick Hemmer (Wirtschaftsinformatik, 2022)

On the Effect of Information Asymmetry in Human-AI Teams. - Patrick Hemmer; Max Schemmer; Niklas Kühl 001; Michael Vössing; Gerhard Satzger (CoRR, 2022)

Designing Transparency for Effective Human-AI Collaboration. - Michael Vössing; Niklas Kühl 001; Matteo Lind; Gerhard Satzger (Inf. Syst. Frontiers, 2022)

Learning to Defer with Limited Expert Predictions. - Patrick Hemmer; Lukas Thede; Michael Vössing; Johannes Jakubik; Niklas Kühl 001 (AAAI, 2023)

On the Perception of Difficulty: Differences between Human and AI. - Philipp Spitzer; Joshua Holstein; Michael Vössing; Niklas Kühl 001 (AutomationXP@CHI, 2023)

On the Interdependence of Reliance Behavior and Accuracy in AI-Assisted Decision-Making. - Jakob Schoeffer; Johannes Jakubik; Michael Vössing; Niklas Kühl 001; Gerhard Satzger (HHAI, 2023)

Online Emotions during the Storming of the U.S. Capitol: Evidence from the Social Media Network Parler. - Johannes Jakubik; Michael Vössing; Nicolas Pröllochs; Dominik Bär; Stefan Feuerriegel (ICWSM, 2023)

Toward Foundation Models for Earth Monitoring: Generalizable Deep Learning Models for Natural Hazard Segmentation. - Johannes Jakubik; Michal Muszynski; Michael Vössing; Niklas Kühl 001; Thomas Brunschwiler (IGARSS, 2023)

Human-AI Collaboration: The Effect of AI Delegation on Human Task Performance and Task Satisfaction. - Patrick Hemmer; Monika Westphal; Max Schemmer; Sebastian Vetter; Michael Vössing; Gerhard Satzger (IUI, 2023)

What a MESS: Multi-Domain Evaluation of Zero-Shot Semantic Segmentation. - Benedikt Blumenstiel; Johannes Jakubik; Hilde Kühne; Michael Vössing (NeurIPS, 2023)

Improving the Efficiency of Human-in-the-Loop Systems: Adding Artificial to Human Experts. - Johannes Jakubik; Daniel Weber 018; Patrick Hemmer; Michael Vössing; Gerhard Satzger (Wirtschaftsinformatik, 2023)

On the Perception of Difficulty: Differences between Humans and AI. - Philipp Spitzer; Joshua Holstein; Michael Vössing; Niklas Kühl 001 (CoRR, 2023)

Navigating the Synthetic Realm: Harnessing Diffusion-based Models for Laparoscopic Text-to-Image Generation. - Simeon Allmendinger; Patrick Hemmer; Moritz Queisner; Igor M. Sauer; Leopold Müller; Johannes Jakubik; Michael Vössing; Niklas Kühl 001 (CoRR, 2023)

Decision control and explanations in human-AI collaboration: Improving user perceptions and compliance. - Monika Westphal; Michael Vössing; Gerhard Satzger; Galit B. Yom-Tov; Anat Rafaeli (Comput. Hum. Behav., 2023)

Sanitizing data for analysis: Designing systems for data understanding. - Joshua Holstein; Max Schemmer; Johannes Jakubik; Michael Vössing; Gerhard Satzger (Electron. Mark., 2023)

Redefining the Laparoscopic Spatial Sense: AI-Based Intra- and Postoperative Measurement from Stereoimages. - Leopold Müller; Patrick Hemmer; Moritz Queisner; Igor M. Sauer; Simeon Allmendinger; Johannes Jakubik; Michael Vössing; Niklas Kühl 001 (AAAI, 2024)

Understanding Data Understanding: A Framework to Navigate the Intricacies of Data Analytics. - Joshua Holstein; Philipp Spitzer; Marieke Hoell; Michael Vössing; Niklas Kühl 001 (ECIS, 2024)

The Role of Cognitive Styles for Explainable AI. - Lara Riefle; Patrick Hemmer; Carina Benz; Michael Vössing (ECIS, 2024)

Introduction to the Minitrack on Service Analytics. - Niklas Kühl 001; Thomas Setzer; Hansjörg Fromm; Michael Vössing (HICSS, 2024)

On the Effect of Contextual Information on Human Delegation Behavior in Human-AI collaboration. - Philipp Spitzer; Joshua Holstein; Patrick Hemmer; Michael Vössing; Niklas Kühl 001; Dominik Martin; Gerhard Satzger (CoRR, 2024)

Complementarity in Human-AI Collaboration: Concept, Sources, and Evidence. - Patrick Hemmer; Max Schemmer; Niklas Kühl 001; Michael Vössing; Gerhard Satzger (CoRR, 2024)

Improving Label Error Detection and Elimination with Uncertainty Quantification. - Johannes Jakubik; Michael Vössing; Manil Maskey; Christopher Wölfle; Gerhard Satzger (CoRR, 2024)

Data-Centric Artificial Intelligence. - Johannes Jakubik; Michael Vössing; Niklas Kühl 001; Jannis Walk; Gerhard Satzger (Bus. Inf. Syst. Eng., 2024)

AI Reliance and Decision Quality: Fundamentals, Interdependence, and the Effects of Interventions. - Jakob Schöffer; Johannes Jakubik; Michael Vössing; Niklas Kühl 001; Gerhard Satzger (J. Artif. Intell. Res., 2025)

Human Delegation Behavior in Human-AI Collaboration: The Effect of Contextual Information. - Philipp Spitzer; Joshua Holstein; Patrick Hemmer; Michael Vössing; Niklas Kühl 001; Dominik Martin; Gerhard Satzger (Proc. ACM Hum. Comput. Interact., 2025)

Fine-Grained Appropriate Reliance: Human-AI Collaboration with a Multi-Step Transparent Decision Workflow for Complex Task Decomposition. - Gaole He; Patrick Hemmer; Michael Vössing; Max Schemmer; Ujwal Gadiraju (CoRR, 2025)

Towards Understanding AI Delegation: The Role of Self-Efficacy and Visual Processing Ability. - Monika Westphal; Patrick Hemmer; Michael Vössing; Max Schemmer; Sebastian Vetter; Gerhard Satzger (ACM Trans. Interact. Intell. Syst., 2025)