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

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arxiv 2105.10223 v1 pith:NECWY3Z4 submitted 2021-05-21 cs.HC

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

classification cs.HC
keywords datatext-entrywildkeyin-the-wildusercollectedcollectionconditions
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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Touch data, and in particular text-entry data, has been mostly collected in the laboratory, under controlled conditions. While touch and text-entry data have 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 analyze text-entry behaviors through implicit and explicit text-entry data collection while ensuring user privacy. We detail each of the WildKey's components and features, all of the metrics collected, and discuss the steps taken to ensure user privacy and promote compliance.

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