Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1145/3460418.3482872 | Ubiquitous Computing |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| André Rodrigues | 1 | 38 | 13.25 |
| André Santos | 2 | 0 | 1.35 |
| Kyle Montague | 3 | 147 | 21.54 |
| Hugo Nicolau | 4 | 381 | 34.33 |
| Tiago Guerreiro | 5 | 366 | 45.90 |