RE-AIMing Predictive Text

Matthew Higgs*, Claire McCallum, Selina Sutton, Mark Warner

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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 (Figure 1) 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.
Original languageEnglish
Title of host publicationProceedings of the First Workshop on Bridging Human–Computer Interaction and Natural Language Processing
EditorsSu Lin Blodgett, Michael Madaio, Brendan O'Connor, Hanna Wallach, Qian Yang
Place of PublicationStroudsburg, US
PublisherAssociation for Computational Linguistics (ACL)
Pages109-115
Number of pages7
Publication statusPublished - 20 Apr 2021
EventHCI + NLP Workshop: Bridging Human-Computer Interaction and Natural Language Processing - Virtual
Duration: 20 May 202120 May 2021
https://sites.google.com/view/hciandnlp/home

Publication series

NameProceedings of the First Workshop on Bridging Human–Computer Interaction and Natural Language Processing
PublisherAssociation for Computational Linguistics

Workshop

WorkshopHCI + NLP Workshop
Period20/05/2120/05/21
Internet address

Fingerprint Dive into the research topics of 'RE-AIMing Predictive Text'. Together they form a unique fingerprint.

Cite this