@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://aclanthology.org/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.",
}
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<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.</abstract>
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%0 Conference Proceedings
%T RE-AIMing Predictive Text
%A Higgs, Matthew
%A McCallum, Claire
%A Sutton, Selina
%A Warner, Mark
%Y Blodgett, Su Lin
%Y Madaio, Michael
%Y O’Connor, Brendan
%Y Wallach, Hanna
%Y Yang, Qian
%S Proceedings of the First Workshop on Bridging Human–Computer Interaction and Natural Language Processing
%D 2021
%8 April
%I Association for Computational Linguistics
%C Online
%F higgs-etal-2021-aiming
%X 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.
%U https://aclanthology.org/2021.hcinlp-1.17
%P 109-115
Markdown (Informal)
[RE-AIMing Predictive Text](https://aclanthology.org/2021.hcinlp-1.17) (Higgs et al., HCINLP 2021)
ACL
- Matthew Higgs, Claire McCallum, Selina Sutton, and Mark Warner. 2021. RE-AIMing Predictive Text. In Proceedings of the First Workshop on Bridging Human–Computer Interaction and Natural Language Processing, pages 109–115, Online. Association for Computational Linguistics.