@InProceedings{vstajner-EtAl:2017:BEA,
  author    = {\v{S}tajner, Sanja  and  Yaneva, Victoria  and  Mitkov, Ruslan  and  Ponzetto, Simone Paolo},
  title     = {Effects of Lexical Properties on Viewing Time per Word in Autistic and Neurotypical Readers},
  booktitle = {Proceedings of the 12th Workshop on Innovative Use of NLP for Building Educational Applications},
  month     = {September},
  year      = {2017},
  address   = {Copenhagen, Denmark},
  publisher = {Association for Computational Linguistics},
  pages     = {271--281},
  abstract  = {Eye tracking studies from the past few decades have shaped the way we think
	of word complexity and cognitive load: words that are long, rare and ambiguous
	are more difficult to read. However, online processing techniques have been
	scarcely applied to investigating the reading difficulties of people with
	autism and what vocabulary is challenging for them. We present parallel gaze
	data obtained from adult readers with autism and a control group of
	neurotypical readers and show that the former required higher cognitive
	effort to comprehend the texts as evidenced by three gaze-based measures. We
	divide all words into four classes based on their viewing times for both groups
	and investigate the relationship between longer viewing times and word length,
	word frequency, and four cognitively-based measures (word concreteness,
	familiarity, age of acquisition and imagability).},
  url       = {http://www.aclweb.org/anthology/W17-5030}
}