Nature Communications (Sep 2020)

Accelerating eye movement research via accurate and affordable smartphone eye tracking

  • Nachiappan Valliappan,
  • Na Dai,
  • Ethan Steinberg,
  • Junfeng He,
  • Kantwon Rogers,
  • Venky Ramachandran,
  • Pingmei Xu,
  • Mina Shojaeizadeh,
  • Li Guo,
  • Kai Kohlhoff,
  • Vidhya Navalpakkam

DOI
https://doi.org/10.1038/s41467-020-18360-5
Journal volume & issue
Vol. 11, no. 1
pp. 1 – 12

Abstract

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Progress in eye movement research has been limited since existing eye trackers are expensive and do not scale. Here, the authors show that smartphone-based eye tracking achieves high accuracy comparable to state-of-the-art mobile eye trackers, replicating key findings from prior eye movement research.