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

The integration of artificial intelligence (AI) into human decision-making processes at the workplace presents both opportunities and challenges. One promising approach to leverage existing complementary capabilities is allowing humans to delegate individual instances of decision tasks to AI. However, enabling humans to delegate instances effectively requires them to assess several factors. One key factor is the analysis of both their own capabilities and those of the AI in the context of the given task. In this work, we conduct a behavioral study to explore the effects of providing contextual information to support this delegation decision. Specifically, we investigate how contextual information about the AI and the task domain influence humans' delegation decisions to an AI and their impact on the human-AI team performance. Our findings reveal that access to contextual information significantly improves human-AI team performance in delegation settings. Finally, we show that the delegation behavior changes with the different types of contextual information. Overall, this research advances the understanding of computer-supported, collaborative work and provides actionable insights for designing more effective collaborative systems.

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Publication Details

Journal
Proceedings of the ACM on Human-Computer Interaction
Published
2025-05-02
DOI
https://doi.org/10.1145/3710999
Citations
6
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
14.19
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article

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

Gerhard Satzger, Dominik Martin, Michael Vössing, Joshua Holstein et al.
6 citations
Proceedings of the ACM on Human-Computer Interaction
Ethics and Social Impacts of AI
14.19
article

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

Gerhard Satzger, Dominik Martin, Michael Vössing, Joshua Holstein, Patrick Hemmer, Niklas Kühl, Philipp Spitzer
article en
6 citations

Abstract

The integration of artificial intelligence (AI) into human decision-making processes at the workplace presents both opportunities and challenges. One promising approach to leverage existing complementary capabilities is allowing humans to delegate individual instances of decision tasks to AI. However, enabling humans to delegate instances effectively requires them to assess several factors. One key factor is the analysis of both their own capabilities and those of the AI in the context of the given task. In this work, we conduct a behavioral study to explore the effects of providing contextual information to support this delegation decision. Specifically, we investigate how contextual information about the AI and the task domain influence humans' delegation decisions to an AI and their impact on the human-AI team performance. Our findings reveal that access to contextual information significantly improves human-AI team performance in delegation settings. Finally, we show that the delegation behavior changes with the different types of contextual information. Overall, this research advances the understanding of computer-supported, collaborative work and provides actionable insights for designing more effective collaborative systems.

Proceedings of the ACM on Human-Computer InteractionVol. 9(2)
Karlsruhe Institute of Technology (DE), University of Bayreuth (DE)
Openalex Percentile: Top 1%
Ethics and Social Impacts of AI
14.19
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Human Delegation Behavior in Human-AI Collaboration: The Effect of Contextual Information — Gerhard Satzger, Dominik Martin, et al. · Proceedings of the ACM on Human-Computer Interaction (2025) | TGRS Research Map | TGRS