Generative AI in Knowledge Work: Design Implications for Data Navigation and Decision-Making
Journal:
arXiv
Published Date:
Mar 24, 2025
Abstract
Our study of 20 knowledge workers revealed a common challenge: the difficulty
of synthesizing unstructured information scattered across multiple platforms to
make informed decisions. Drawing on their vision of an ideal knowledge
synthesis tool, we developed Yodeai, an AI-enabled system, to explore both the
opportunities and limitations of AI in knowledge work. Through a user study
with 16 product managers, we identified three key requirements for Generative
AI in knowledge work: adaptable user control, transparent collaboration
mechanisms, and the ability to integrate background knowledge with external
information. However, we also found significant limitations, including
overreliance on AI, user isolation, and contextual factors outside the AI's
reach. As AI tools become increasingly prevalent in professional settings, we
propose design principles that emphasize adaptability to diverse workflows,
accountability in personal and collaborative contexts, and context-aware
interoperability to guide the development of human-centered AI systems for
product managers and knowledge workers.
