Effects of Lexical Properties on Viewing Time per Word in Autistic and Neurotypical Readers

Sanja Štajner, Victoria Yaneva, Ruslan Mitkov, Simone Paolo Ponzetto


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).
Anthology ID:
W17-5030
Volume:
Proceedings of the 12th Workshop on Innovative Use of NLP for Building Educational Applications
Month:
September
Year:
2017
Address:
Copenhagen, Denmark
Editors:
Joel Tetreault, Jill Burstein, Claudia Leacock, Helen Yannakoudakis
Venue:
BEA
SIG:
SIGEDU
Publisher:
Association for Computational Linguistics
Note:
Pages:
271–281
Language:
URL:
https://aclanthology.org/W17-5030
DOI:
10.18653/v1/W17-5030
Bibkey:
Cite (ACL):
Sanja Štajner, Victoria Yaneva, Ruslan Mitkov, and Simone Paolo Ponzetto. 2017. Effects of Lexical Properties on Viewing Time per Word in Autistic and Neurotypical Readers. In Proceedings of the 12th Workshop on Innovative Use of NLP for Building Educational Applications, pages 271–281, Copenhagen, Denmark. Association for Computational Linguistics.
Cite (Informal):
Effects of Lexical Properties on Viewing Time per Word in Autistic and Neurotypical Readers (Štajner et al., BEA 2017)
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PDF:
https://preview.aclanthology.org/emnlp-22-attachments/W17-5030.pdf