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

Citation

Vatavu, R.-D., Anthony, L., and Brown, Q. 2015. Child or Adult? Inferring Smartphone Users’ Age Group from Touch Measurements Alone. Proceedings of INTERACT’15, the 15th IFIP TC.13 International Conference on Human-Computer Interaction. Lecture Notes in Computer Science vol. 9299, pages 1-9. [PDF]

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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Vatavu-et-al-INTERACT2015