Human-Computer Interaction

INTERACT 2015: Human-Computer Interaction – INTERACT 2015 pp 1-9 | Cite as

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

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9299)

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.

Keywords

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

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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

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