Joshua Holstein

According to our database, Joshua Holstein authored at least 20 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

From Model Uncertainty to Human Attention: Localization-Aware Visual Cues for Scalable Annotation Review.

Moussa Kassem Sbeyti, Joshua Holstein, Philipp Spitzer, Nadja Klein, Gerhard Satzger

CoRR, May, 2026

Believing vs. Achieving - The Disconnect between Efficacy Beliefs and Collaborative Outcomes.

Philipp Spitzer, Joshua Holstein

CoRR, March, 2026

When Thinking Pays Off: Incentive Alignment for Human-AI Collaboration.

Joshua Holstein, Patrick Hemmer, Gerhard Satzger, Wei Sun

Proceedings of the 2026 ACM Conference on Fairness, Accountability, and Transparency, 2026

Agentic Automation Experiences - Rethinking the Interaction of Humans and AI Agents.

Philipp Spitzer, Matthias Baldauf, Philippe A. Palanque, Virpi Roto, Katelyn Morrison, Garoa Gomez-Beldarrain, Monika Westphal, Joshua Holstein

Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems, 2026

2025

Balancing the Unknown: Exploring Human Reliance on AI Advice under Aleatoric and Epistemic Uncertainty.

Joshua Holstein, Lars Böcking, Philipp Spitzer, Niklas Kühl, Michael Vössing, Gerhard Satzger

ACM Trans. Comput. Hum. Interact., December, 2025

From Consumption to Collaboration: Measuring Interaction Patterns to Augment Human Cognition in Open-Ended Tasks.

Joshua Holstein, Moritz Diener, Philipp Spitzer

CoRR, April, 2025

Human Delegation Behavior in Human-AI Collaboration: The Effect of Contextual Information.

Philipp Spitzer, Joshua Holstein, Patrick Hemmer, Michael Vössing, Niklas Kühl, Dominik Martin, Gerhard Satzger

Proc. ACM Hum. Comput. Interact., 2025

Data Quality Challenges in Retrieval-Augmented Generation.

Leopold Müller, Joshua Holstein, Sarah Bause, Gerhard Satzger, Niklas Kühl

Proceedings of the 46th International Conference on Information Systems, 2025

Development of Mental Models in Human-AI Collaboration: A Conceptual Framework.

Joshua Holstein, Gerhard Satzger

Proceedings of the 46th International Conference on Information Systems, 2025

A Multi-Actor Benefit Classification for Inter-Organizational Data Sharing in Ecosystems.

Marcel Fassnacht, Jannes Müller, Carina Benz, Joshua Holstein, Gerhard Satzger

Proceedings of the 46th International Conference on Information Systems, 2025

Designing AI Assistants for Novices: Bridging Knowledge Gaps in Onboarding.

Joshua Holstein, Patrick Müller, Michael Vössing, Hansjörg Fromm

Proceedings of the 58th Hawaii International Conference on System Sciences, 2025

Hybrid Automation Experiences - Communication, Coordination, and Collaboration within Human-AI Teams.

Philipp Spitzer, Matthias Baldauf, Philippe A. Palanque, Virpi Roto, Katelyn Morrison, Domenique Zipperling, Joshua Holstein

Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2025

2024

Don't be Fooled: The Misinformation Effect of Explanations in Human-AI Collaboration.

Philipp Spitzer, Joshua Holstein, Katelyn Morrison, Kenneth Holstein, Gerhard Satzger, Niklas Kühl

CoRR, 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, Dominik Martin, Gerhard Satzger

CoRR, 2024

Bridging Domain Expertise and AI through Data Understanding.

Joshua Holstein

Proceedings of the Companion Proceedings of the 29th International Conference on Intelligent User Interfaces, 2024

Understanding Data Understanding: A Framework to Navigate the Intricacies of Data Analytics.

Joshua Holstein, Philipp Spitzer, Marieke Hoell, Michael Vössing, Niklas Kühl

Proceedings of the 32nd European Conference on Information Systems, 2024

2023

Sanitizing data for analysis: Designing systems for data understanding.

Joshua Holstein, Max Schemmer, Johannes Jakubik, Michael Vössing, Gerhard Satzger

Electron. Mark., December, 2023

On the Perception of Difficulty: Differences between Humans and AI.

Philipp Spitzer, Joshua Holstein, Michael Vössing, Niklas Kühl

CoRR, 2023

Towards Meaningful Anomaly Detection: The Effect of Counterfactual Explanations on the Investigation of Anomalies in Multivariate Time Series.

Max Schemmer, Joshua Holstein, Niklas Bauer, Niklas Kühl, Gerhard Satzger

CoRR, 2023

On the Perception of Difficulty: Differences between Human and AI.

Philipp Spitzer, Joshua Holstein, Michael Vössing, Niklas Kühl

Proceedings of the Workshop on Intervening, 2023