@inproceedings{higgs-etal-2021-aiming,
    title = "{RE}-{AIM}ing Predictive Text",
    author = "Higgs, Matthew  and
      McCallum, Claire  and
      Sutton, Selina  and
      Warner, Mark",
    editor = "Blodgett, Su Lin  and
      Madaio, Michael  and
      O'Connor, Brendan  and
      Wallach, Hanna  and
      Yang, Qian",
    booktitle = "Proceedings of the First Workshop on Bridging Human{--}Computer Interaction and Natural Language Processing",
    month = apr,
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-emnlp/2021.hcinlp-1.17/",
    pages = "109--115",
    abstract = "Our increasing reliance on mobile applications means much of our communication is mediated with the support of predictive text systems. How do these systems impact interpersonal communication and broader society? In what ways are predictive text systems harmful, to whom, and why? In this paper, we focus on predictive text systems on mobile devices and attempt to answer these questions. We introduce the concept of a `text entry intervention' as a way to evaluate predictive text systems through an interventional lens, and consider the Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) of predictive text systems. We finish with a discussion of opportunities for NLP."
}