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Conference Papers Year : 2015

Child or Adult? Inferring Smartphone Users’ Age Group from Touch Measurements Alone

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Radu-Daniel Vatavu
  • Function : Author
  • PersonId : 913333
Lisa Anthony
  • Function : Author
  • PersonId : 1020093
Quincy Brown
  • Function : Author
  • PersonId : 1020094

Abstract

We present a technique that classifies users’ age group, i.e., child or adult, from touch coordinates captured on touch-screen devices. Our technique delivered 86.5 % accuracy (user-independent) on a dataset of 119 participants (89 children ages 3 to 6) when classifying each touch event one at a time and up to 99 % accuracy when using a window of 7+ consecutive touches. Our results establish that it is possible to reliably classify a smartphone user on the fly as a child or an adult with high accuracy using only basic data about their touches, and will inform new, automatically adaptive interfaces for touch-screen devices.
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Dates and versions

hal-01610821 , version 1 (05-10-2017)

Licence

Attribution - CC BY 4.0

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Radu-Daniel Vatavu, Lisa Anthony, Quincy Brown. Child or Adult? Inferring Smartphone Users’ Age Group from Touch Measurements Alone. 15th Human-Computer Interaction (INTERACT), Sep 2015, Bamberg, Germany. pp.1-9, ⟨10.1007/978-3-319-22723-8_1⟩. ⟨hal-01610821⟩
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