Joshua Holstein, M.Sc.

Joshua Holstein, M.Sc.

  • Kaiserstr. 89

    D - 76133 Karlsruhe

Activities

During his Bachelor’s degree Joshua Holstein studied industrial engineering with a focus on mechanical engineering at the Technical University Darmstadt. Afterward, he earned his Master’s Degree at the Karlsruhe Institute of Technology (KIT) in Industrial Engineering and Management. As part of his studies, he spent a semester abroad at Reichman University in Herzliya (Israel). After finishing his master thesis at the Bayer AG, he joined the Applied AI lab of the Digital Service Innovation Group in July 2022 as a research associate. During his joined PhD with the Bayer AG, he researches how to lever data-centric AI methods in industrial settings such as manufacturing to improve the data quality for artificial intelligence. Further, he looks into how human decision-makers can effectively collaborate with AI systems to achieve superior decision outcomes by systematically advancing their understanding of the underlying data and the AI system.

Research Focus

  • Data Understanding
  • Data-centric AI
  • Human-AI Collaboration

Projects

Teaching

  • Artificial Intelligence in Service Systems: Generative AI & Adoption (SS25)
  • Artificial Intelligence in Service Systems: Applications in Computer Vision (SS 23, SS 24)
  • Artificial Intelligence in Service Systems (WS24/25)
  • Applied AI in Service Systems (WS24)
  • Seminar: Data Science for Industrial Applications (SS 23, SS 24)

Publications


2025
Journal Articles
Balancing the Unknown: Exploring Human Reliance on AI Advice Under Aleatoric and Epistemic Uncertainty
Holstein, J.; Böcking, L.; Spitzer, P.; Kühl, N.; Vössing, M.; Satzger, G.
2025. ACM Transactions on Computer-Human Interaction. doi:10.1145/3762813
Human Delegation Behavior in Human-AI Collaboration: The Effect of Contextual Information
Spitzer, P.; Holstein, J.; Hemmer, P.; Vössing, M.; Kühl, N.; Martin, D.; Satzger, G.
2025. Proceedings of the ACM on human-computer interaction, 9 (2), 1–28. doi:10.1145/3710999
Conference Papers
A Multi-Actor Benefit Classification for Inter- Organizational Data Sharing in Ecosystems
Fassnacht, M.; Müller, J.; Benz, C.; Holstein, J.; Satzger, G.
2025. 46th International Conference on Information Systems (ICIS 2025), Association for Information Systems (AIS)
Data Quality Challenges in Retrieval-Augmented Generation
Müller, L.; Holstein, J.; Bause, S.; Satzger, G.; Kühl, N.
2025. International Conference on Information Systems (ICIS), 14th-17th December, Nashville, TN, USA, Association for Information Systems (AIS)
Development of Mental Models in Human-AI Collaboration: A Conceptual Framework
Holstein, J.; Satzger, G.
2025. International Conference on Information Systems (ICIS), 14th-17th December, Nashville, TN, USA, Association for Information Systems (AIS)
Hybrid Automation Experiences – Communication, Coordination, and Collaboration within Human-AI Teams
Spitzer, P.; Baldauf, M.; Palanque, P.; Roto, V.; Morrison, K.; Zipperling, D.; Holstein, J.
2025. CHI EA ’25: Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, Art.-Nr.: 789, Association for Computing Machinery (ACM). doi:10.1145/3706599.3706738
From Consumption to Collaboration: Measuring Interaction Patterns to Augment Human Cognition in Open-Ended Tasks
Holstein, J.; Diener, M.; Spitzer, P.
2025. CHI 2025 Workshop: Tools for Thought: Research and Design for Understanding, Protecting, and Augmenting Human Cognition with Generative AI
Designing AI Assistants for Novices: Bridging Knowledge Gaps in Onboarding
Holstein, J.; Müller, P.; Vössing, M.; Fromm, H.
2025. 58th Hawaii International Conference on Systems Sciences, Waikoloa, 7th-10th January 2025, Association for Information Systems (AIS)
2024
Conference Papers
Bridging Domain Expertise and AI through Data Understanding
Holstein, J.
2024. Companion Proceedings of the 29th International Conference on Intelligent User Interfaces, 163–165, Association for Computing Machinery (ACM). doi:10.1145/3640544.3645248
Understanding Data Understanding: A Framework to Navigate the Intricacies of Data Analytics
Holstein, J.; Spitzer, P.; Hoell, M.; Vössing, M.; Kühl, N.
2024. Proceedings of the 32nd European Conference on Information Systems (ECIS 2024), Association for Information Systems (AIS)
2023
Journal Articles
Sanitizing data for analysis: Designing systems for data understanding
Holstein, J.; Schemmer, M.; Jakubik, J.; Vössing, M.; Satzger, G.
2023. Electronic Markets, 33 (1), Art.-Nr.: 52. doi:10.1007/s12525-023-00677-w
Conference Papers
On the Perception of Difficulty: Differences between Humans and AI
Spitzer, P.; Holstein, J.; Vössing, M.; Kühl, N.
2023. AutomationXP23: Intervening, Teaming, Delegating Creating Engaging Automation Experiences, CEUR-WS.org. doi:10.48550/arXiv.2304.09803