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

被引:0
|
作者
Rodrigues, Andre [1 ]
Santos, Andre [1 ]
Montague, Kyle [2 ]
Nicolau, Hugo [3 ]
Guerreiro, Tiago [1 ]
机构
[1] Univ Lisbon, LASIGE, Fac Ciencias, Lisbon, Portugal
[2] Northumbria Univ, NorSC, Newcastle Upon Tyne, Tyne & Wear, England
[3] Univ Lisbon, ITI, LARSyS, Inst Super Tecn, Lisbon, Portugal
关键词
Text-Entry; Touch Dynamics; In-the-wild; Smartphones; Data Collection;
D O I
10.1145/3460418.3479366
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:542 / 545
页数:4
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