Designing Human–AI Interactions

Nils Urbach (), Daniel Feulner () and Valentin Mayer ()
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Nils Urbach: Frankfurt University of Applied Sciences
Daniel Feulner: University of Bayreuth
Valentin Mayer: University of Bayreuth

Chapter 11 in Managing Artificial Intelligence, 2026, pp 239-264 from Springer

Abstract: Abstract This chapter explores the dimensions of human–AI interactions, identifies distinct interaction types, and discusses influencing factors such as transparency, personalization, anthropomorphism, and user expectations. It then examines the transformative impact of AI on the workforce, highlighting the necessity of collaboration to manage job displacement and innovation effectively. Furthermore, the chapter presents strategies for optimizing human–AI collaboration, including managing automation bias and ensuring appropriate reliance on AI systems. Finally, it addresses effective task delegation approaches, emphasizing conditions for successful collaboration and analysing AI-led delegation through a principal–agent perspective, ultimately aiming to support practitioners in designing sustainable and ethically responsible human–AI interactions.

Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:spr:fuobcp:978-3-032-13308-3_11

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DOI: 10.1007/978-3-032-13308-3_11

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