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March 15, 2026Open Access

Daily Encounters with AI: An Inquiry into Users’ Sensemaking

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Authors

FAFatemeh AlizadehTabriz University of Medical Sciences

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Overview

Qualitative methods reveal that empowerment needs and trust influence AI sensemaking in various contexts.

Key Points

  • This research investigates how users make sense of AI in everyday encounters and the implications for design.
  • Utilized qualitative methods like semi-structured interviews and experience sampling.
  • Examined AI-assisted decisionmaking, AI-mediated social platforms, and agentic AI technologies.
  • Explored user empowerment needs and collaborative design approaches.
  • Identified factors affecting AI sensemaking, including trust, intelligence, and collaboration.
  • Highlighted the need for user agency in AI design to address misconceptions and enhance interaction.

Cite This Study

Fatemeh Alizadeh (2025) studied this question.

synapsesocial.com/papers/69b6068883145bc643d1c826https://doi.org/10.25819/ubsi/10803
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Sensemaking in the AI workplace: a guide for organizational learning2026
  2. 2Sensemaking AI: Introducing a Research and Design Agenda for Human–AI Networks2025
  3. 3Sensemaking AI: Introducing a research and design agenda for human–AI networks2026 · 2 citations
  4. 4Artificial intelligence and work transformations: integrating sensemaking and workplace learning perspectives2024 · 37 citations
  5. 5Prospective Sensemaking in the Front End of Innovation of AI Projects2024 · 1 citations