@inproceedings{aafe8598a25f4a0f926ea56700efa52e,
title = "Towards inferring language expertise using eye tracking",
abstract = "We present initial work towards recognizing reading activities. This paper describes our efforts detect the English skill level of a user and infer which words are difficult for them to understand. We present an initial study of 5 students and show our findings regarding the skill level assessment. We explain a method to spot difficult words. Eye tracking is a promising technology to examine and assess a user{\textquoteright}s skill level.",
keywords = "Eye movements, Language expertise, Mobile eye tracker",
author = "Kai Kunze and Kazuyo Yoshimura and Hitoshi Kawaichi and Koichi Kise",
note = "Funding Information: This work was supported in part by the CREST project from Japan Society for the Promotion of Science (JSPS).; 31st Annual CHI Conference on Human Factors in Computing Systems:, CHI EA 2013 ; Conference date: 27-04-2013 Through 02-05-2013",
year = "2013",
month = apr,
day = "27",
doi = "10.1145/2468356.2468396",
language = "English",
series = "Conference on Human Factors in Computing Systems - Proceedings",
publisher = "Association for Computing Machinery",
pages = "217--222",
editor = "Michel Beaudouin-Lafon and Patrick Baudisch and Mackay, {Wendy E.}",
booktitle = "CHI EA 2013 - Extended Abstracts on Human Factors in Computing Systems",
}