Amanda Baughan

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AI UX Researcher @ Maincode

Guest Faculty @ UW

Seattle, WA

Hi there! I’m a researcher with a PhD in Computer Science from the University of Washington, where I focused on human-computer interaction and social computing. My work sits at the intersection of design, psychology, and technology. Currently, I work as an AI UX Researcher at Maincode, and I periodically teach design ethics at the University of Washington Information School.

At Maincode, I translate cutting-edge AI research into products that fit seamlessly into real-world workflows. My focus is on advancing human-AI interaction methods and exploring how AI can reshape the way we work.

Previously, I studied how technology foregrounds or prevents connection online, and my work on this topic has been covered by the Wall Street Journal, Scientific American, and NPR. Before Maincode, I was a UX Researcher at Google Maps and AI2’s Semantic Scholar, where I improved human-AI interactions in research discovery. Outside of research, I’m usually surfing, hiking, or indulging in yet another rewatch of Twilight.

selected publications

  1. onlineargument.jpg
    Someone Is Wrong on the Internet: Having Hard Conversations in Online Spaces
    Amanda Baughan, Justin Petelka, Catherine Jaekyung Yoo, and 5 more authors
    Proc. ACM Hum.-Comput. Interact., Apr 2021
  2. dissociation22.jpg
    “I Don’t Even Remember What I Read”: How Design Influences Dissociation on Social Media
    Amanda Baughan, Mingrui Ray Zhang, Raveena Rao, and 4 more authors
    In CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, Apr 2022
  3. Honorable Mention
    voiceassistant23.jpg
    A Mixed-Methods Approach to Understanding User Trust after Voice Assistant Failures
    Amanda Baughan, Xuezhi Wang, Ariel Liu, and 3 more authors
    In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, Hamburg, Germany, Apr 2023
  4. hardconversations2024.jpg
    Supporting Hard Conversations in Close Relationships Through Design
    Amanda Baughan, Larry Tian, Pranav Shekar, and 2 more authors
    Proc. ACM Hum.-Comput. Interact., Nov 2024