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Surv."],"published-print":{"date-parts":[[2021,11,30]]},"abstract":"<jats:p>Over the past few years, there has been an exponential increase in the percentage of people owning and using a smart phone. These devices have sensor-rich touchscreens that can capture sensitive biometric features such as keystroke typing and finger-swiping patterns. Touch-dynamics based behavioural biometrics is a time-based assessment of how a user performs a particular touch task on a mobile device. Several performance-focused surveys already exist. In this article, building upon the existing reviews, we have examined studies on touch-dynamics based behavioural biometrics based on usability and its impact on authentication performance. We also emphasize the need for shifting the focus on usability during performance evaluations by presenting a consolidated list of usability and ergonomic-based factors that influence user interaction and cause performance variations. In this article, we report and review the usability evaluations: user acceptance studies and performance-based studies influencing the user interaction process on three specific touch-dynamics based modalities\u2014signature, keystroke, and swipe. With regards to performance, we present a comparative analysis of error rates and accuracy of various research works undertaken. Additionally, we present a consolidated list of public datasets and discuss evolving vulnerabilities of touch-dynamics based behavioural biometrics, their adopted attack models, and their feasibility. Finally, we present our assessment of this domain's existing unresolved problems that could pave the way for future research.<\/jats:p>","DOI":"10.1145\/3394713","type":"journal-article","created":{"date-parts":[[2020,7,7]],"date-time":"2020-07-07T12:38:30Z","timestamp":1594125510000},"page":"1-36","update-policy":"https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":38,"title":["Touch-dynamics based Behavioural Biometrics on Mobile Devices \u2013 A Review from a Usability and Performance Perspective"],"prefix":"10.1145","volume":"53","author":[{"ORCID":"https:\/\/2.zoppoz.workers.dev:443\/https\/orcid.org\/0000-0002-4126-5019","authenticated-orcid":false,"given":"Elakkiya","family":"Ellavarason","sequence":"first","affiliation":[{"name":"School of Engineering and Digital Arts, University of Kent, Canterbury, Kent, United Kingdom"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Richard","family":"Guest","sequence":"additional","affiliation":[{"name":"School of Engineering and Digital Arts, University of Kent, Canterbury, Kent, United Kingdom"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Farzin","family":"Deravi","sequence":"additional","affiliation":[{"name":"School of Engineering and Digital Arts, University of Kent, Canterbury, Kent, United Kingdom"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Raul","family":"Sanchez-Riello","sequence":"additional","affiliation":[{"name":"Electronics Technology Department, Carlos III University of Madrid, Leganes, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Barbara","family":"Corsetti","sequence":"additional","affiliation":[{"name":"Electronics Technology Department, Carlos III University of Madrid, Leganes, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2020,12,6]]},"reference":[{"key":"e_1_2_1_1_1","volume-title":"Mobile Biometrics: Markets, Opportunities 8 Forecasts. 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