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

2021/05/21 by André Rodrigues, André Santos, Rodrigues, André +7 · 1 citation
Computer Science · Engineering · Social Sciences · #FOS: Computer and information sciences #Green IT and Sustainability #Human-Computer Interaction (cs.HC) #Innovative Human-Technology Interaction #Privacy, Security, and Data Protection

paper · pdf · doi:10.48550/arxiv.2105.10223

openalex publication_date 2021/05/21 · openalex created_date 2022/07/25 · openalex updated_date 2026/07/28

Abstract

Touch data, and in particular text-entry data, has been mostly collected in\nthe laboratory, under controlled conditions. While touch and text-entry data\nhave consistently shown its potential for monitoring and detecting a variety of\nconditions and impairments, its deployment in-the-wild remains a challenge. In\nthis paper, we present WildKey, an Android keyboard toolkit that allows for the\nusable deployment of in-the-wild user studies. WildKey is able to analyze\ntext-entry behaviors through implicit and explicit text-entry data collection\nwhile ensuring user privacy. We detail each of the WildKey's components and\nfeatures, all of the metrics collected, and discuss the steps taken to ensure\nuser privacy and promote compliance.\n

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