WildKey: A Privacy-Aware Keyboard Toolkit for Data Collection In-The-Wild

André Rodrigues, André R.B. Santos, Kyle Montague, Hugo Nicolau, Tiago Guerreiro

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

Abstract

Touch data, and in particular text-entry data, has been predominantly collected in laboratory settings, under controlled conditions. While touch and text-entry data has consistently shown its potential for monitoring and detecting a variety of conditions and impairments, its deployment in-the-wild remains a challenge. In this paper, we present WildKey, an Android keyboard toolkit that allows for the usable deployment of in-the-wild user studies. WildKey is able to analyse text-entry behaviours through implicit and explicit text-entry data collection while ensuring user privacy. We detail each of the WildKey’s components and features, metrics collected, and discuss the steps taken to ensure user privacy thus promoting compliance.
Original languageEnglish
Title of host publicationUbiComp/ISWC 2021 - Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers
Place of PublicationNew York
PublisherACM
Pages542-545
Number of pages4
ISBN (Print)9781450384612
DOIs
Publication statusPublished - 21 Sep 2021
EventUbiComp-ISWC ’21 Adjunct: All Over the World - Global, Virtual, United States
Duration: 21 Sep 202126 Sep 2021
https://ubicomp.org/ubicomp2021/
https://www.ubicomp.org/ubicomp2021/

Publication series

NameUbiComp/ISWC 2021 - Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers

Conference

ConferenceUbiComp-ISWC ’21 Adjunct
CountryUnited States
CityVirtual
Period21/09/2126/09/21
Internet address

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