Human-Centered AI Enhances Performance Through Tailored Interaction
Researchers from the University of Geneva, including GSEM Professor Sebastian Raisch, Sebastian Krakowski, Darek Haftor, Johannes Luger, and Natallia Pashkevich, published an article in the top-tier journal Management Science.
The study explores human-AI collaboration on unstructured managerial tasks in a multinational pharmaceutical firm, where AI implementation was adjusted to match employees' cognitive styles, classified as adaptors or innovators.
Results show that tailoring AI interactions to cognitive styles significantly improves sales performance, while untailored interactions can reduce performance due to workflow disruptions and role conflicts.
- Tailored interactions increase AI system usage.
- Performance gains are partially explained by increased AI system usage.
These findings highlight the importance of aligning AI systems with human cognitive needs and the work context for effective human-AI collaboration.
Author's summary: Human-centered AI improves performance through tailored interaction.
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