Human-Computer Interaction

INTERACT 2015: Human-Computer Interaction – INTERACT 2015 pp 1-9

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

Conference paper

DOI: 10.1007/978-3-319-22723-8_1

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9299)
Cite this paper as:
Vatavu RD., Anthony L., Brown Q. (2015) Child or Adult? Inferring Smartphone Users’ Age Group from Touch Measurements Alone. In: Abascal J., Barbosa S., Fetter M., Gross T., Palanque P., Winckler M. (eds) Human-Computer Interaction – INTERACT 2015. INTERACT 2015. Lecture Notes in Computer Science, vol 9299. Springer, Cham


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.


Touch input Children Adults Age group Tap time Offset distance Touch accuracy Classifier Bayes’ rule Touch-screen Smartphone Experiment 

Copyright information

© IFIP International Federation for Information Processing 2015

Authors and Affiliations

  • Radu-Daniel Vatavu
    • 1
  • Lisa Anthony
    • 2
  • Quincy Brown
    • 3
  1. 1.University Stefan cel Mare of SuceavaSuceavaRomania
  2. 2.Department of CISEUniversity of FloridaGainesvilleUSA
  3. 3.Bowie State UniversityBowieUSA

Personalised recommendations