@inproceedings{gayen-etal-2025-will,
    title = "Will Gen {Z} users look for evidence to verify {QA} System-generated answers?",
    author = "Gayen, Souma  and
      Demner-Fushman, Dina  and
      Gupta, Deepak",
    editor = "Ananiadou, Sophia  and
      Demner-Fushman, Dina  and
      Gupta, Deepak  and
      Thompson, Paul",
    booktitle = "Proceedings of the Second Workshop on Patient-Oriented Language Processing (CL4Health)",
    month = may,
    year = "2025",
    address = "Albuquerque, New Mexico",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/fix-sig-urls/2025.cl4health-1.19/",
    pages = "228--235",
    ISBN = "979-8-89176-238-1",
    abstract = "The remarkable results shown by medicalquestion-answering systems lead to theiradoption in real-life applications. The systems,however, may misinform the users, even whendrawing on scientific evidence to ground theresults. The quality of the answers maybe verified by the users if they analyze theevidence provided by the systems. Userinterfaces play an important role in engagingthe users. While studies of the user interfacesfor biomedical literature search and clinicaldecision support are abundant, little is knownabout users' interactions with medical questionanswering systems and the impact of thesesystems on health-related decisions. In a studyof several different user interface layouts, wefound that only a small number of participantsfollowed the links to verify automaticallygenerated answers, independently of theinterface design. The users who followed thelinks made better health-related decisions."
}