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

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

doi:10.1145/3460418.3482872

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

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

School of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

53 Downloads (Pure)

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 language	English
Title of host publication	UbiComp/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 Publication	New York
Publisher	ACM
Pages	542-545
Number of pages	4
ISBN (Print)	9781450384612
DOIs	https://doi.org/10.1145/3460418.3482872
Publication status	Published - 21 Sept 2021
Event	UbiComp-ISWC ’21 Adjunct: All Over the World - Global, Virtual, United States Duration: 21 Sept 2021 → 26 Sept 2021 https://ubicomp.org/ubicomp2021/ https://www.ubicomp.org/ubicomp2021/

Publication series

Name	UbiComp/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

Conference	UbiComp-ISWC ’21 Adjunct
Country/Territory	United States
City	Virtual
Period	21/09/21 → 26/09/21
Internet address	https://ubicomp.org/ubicomp2021/ https://www.ubicomp.org/ubicomp2021/

Keywords

Text-Entry
Touch Dynamics
In-the-wild
Smartphones
Data Collection

Access to Document

10.1145/3460418.3482872

rodrigues et al – ubicomp 2021Accepted author manuscript, 434 KB

Cite this

Rodrigues, A., Santos, A. R. B., Montague, K., Nicolau, H., & Guerreiro, T. (2021). WildKey: A Privacy-Aware Keyboard Toolkit for Data Collection In-The-Wild. In UbiComp/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 (pp. 542-545). (UbiComp/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). ACM. https://doi.org/10.1145/3460418.3482872

Rodrigues, André ; Santos, André R.B. ; Montague, Kyle et al. / WildKey : A Privacy-Aware Keyboard Toolkit for Data Collection In-The-Wild. UbiComp/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. New York : ACM, 2021. pp. 542-545 (UbiComp/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).

@inproceedings{405eb977470f474da2f8a335714a2b5b,

title = "WildKey: A Privacy-Aware Keyboard Toolkit for Data Collection In-The-Wild",

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{\textquoteright}s components and features, metrics collected, and discuss the steps taken to ensure user privacy thus promoting compliance.",

keywords = "Text-Entry, Touch Dynamics, In-the-wild, Smartphones, Data Collection",

author = "Andr{\'e} Rodrigues and Santos, \{Andr{\'e} R.B.\} and Kyle Montague and Hugo Nicolau and Tiago Guerreiro",

note = "Funding information: We would like to thank our collaborators from OpenLab Newcastle as the first external team to use the keyboard toolkit providing us with valuable feedback and contributions to the project. This project was partially supported by FCT through project mIDR (AAC 02/SAICT/-2017, project 30347, cofunded by COMPETE/FEDER/FNR), LASIGE Research Unit funding, ref. UIDB/00408/2020, LARSyS Research Unit funding, ref. UIDB/50009/2020, and the IDEA-FAST project which has received funding from the Innovative Medicines Initiative 2 Joint Undertaking under grant agreement No. 853981. This Joint Undertaking receives support from the European Union{\textquoteright}s Horizon 2020 research and innovation programme and EFPIA and associated partner; UbiComp-ISWC {\textquoteright}21 Adjunct : All Over the World ; Conference date: 21-09-2021 Through 26-09-2021",

year = "2021",

month = sep,

day = "21",

doi = "10.1145/3460418.3482872",

language = "English",

isbn = "9781450384612",

series = "UbiComp/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",

publisher = "ACM",

pages = "542--545",

booktitle = "UbiComp/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",

address = "United States",

url = "https://ubicomp.org/ubicomp2021/, https://www.ubicomp.org/ubicomp2021/",

}

Rodrigues, A, Santos, ARB, Montague, K, Nicolau, H & Guerreiro, T 2021, WildKey: A Privacy-Aware Keyboard Toolkit for Data Collection In-The-Wild. in UbiComp/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. UbiComp/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, ACM, New York, pp. 542-545, UbiComp-ISWC ’21 Adjunct, Virtual, New York, United States, 21/09/21. https://doi.org/10.1145/3460418.3482872

WildKey: A Privacy-Aware Keyboard Toolkit for Data Collection In-The-Wild. / Rodrigues, André; Santos, André R.B.; Montague, Kyle et al.
UbiComp/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. New York: ACM, 2021. p. 542-545 (UbiComp/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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - WildKey

T2 - UbiComp-ISWC ’21 Adjunct

AU - Rodrigues, André

AU - Santos, André R.B.

AU - Montague, Kyle

AU - Nicolau, Hugo

AU - Guerreiro, Tiago

N1 - Funding information: We would like to thank our collaborators from OpenLab Newcastle as the first external team to use the keyboard toolkit providing us with valuable feedback and contributions to the project. This project was partially supported by FCT through project mIDR (AAC 02/SAICT/-2017, project 30347, cofunded by COMPETE/FEDER/FNR), LASIGE Research Unit funding, ref. UIDB/00408/2020, LARSyS Research Unit funding, ref. UIDB/50009/2020, and the IDEA-FAST project which has received funding from the Innovative Medicines Initiative 2 Joint Undertaking under grant agreement No. 853981. This Joint Undertaking receives support from the European Union’s Horizon 2020 research and innovation programme and EFPIA and associated partner

PY - 2021/9/21

Y1 - 2021/9/21

N2 - 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.

AB - 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.

KW - Text-Entry

KW - Touch Dynamics

KW - In-the-wild

KW - Smartphones

KW - Data Collection

UR - https://www.scopus.com/pages/publications/85115925203

U2 - 10.1145/3460418.3482872

DO - 10.1145/3460418.3482872

M3 - Conference contribution

SN - 9781450384612

T3 - UbiComp/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

SP - 542

EP - 545

BT - UbiComp/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

PB - ACM

CY - New York

Y2 - 21 September 2021 through 26 September 2021

ER -

Rodrigues A, Santos ARB, Montague K, Nicolau H, Guerreiro T. WildKey: A Privacy-Aware Keyboard Toolkit for Data Collection In-The-Wild. In UbiComp/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. New York: ACM. 2021. p. 542-545. (UbiComp/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). Epub 2021 Sept 21. doi: 10.1145/3460418.3482872

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

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this