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A deeper understanding of optimal viewing position using eye fixations and character recognition on text-viewing and reading tasks

  • Nada Attar
  • , Chia Chien
  • , Djamel Eddine Sia
  • , Marc Pomplun
  • University of Massachusetts Boston
  • Harvard University
  • Brigham and Women’s Hospital

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Existing literature reveals that during reading, gaze fixations within a word are not necessarily close to the optimal reading position. The optimal position for reading represents the gaze fixation near the center of each word for which recognition time is minimal. In our study, we examined the match between optimal position and initial fixation position, which has not been studied before. We did this in conventional reading and in two text-viewing tasks. For the text-viewing tasks, we employed multiple words that were nonisolated in the presentation but could be examined individually in rhythm and linguistic context. We discovered that for the textviewing tasks, the initial fixation position tends to be close to the optimal position, which was in contrast to the conventional reading task. This finding will help us understand the relationship between optimal position and reading context and inform the development of new reading applications.

Original languageEnglish
Title of host publicationProceedings - ETRA 2016
Subtitle of host publication2016 ACM Symposium on Eye Tracking Research and Applications
EditorsStephen N. Spencer
PublisherAssociation for Computing Machinery
Pages209-212
Number of pages4
ISBN (Electronic)9781450341257
DOIs
StatePublished - Mar 14 2016
Event9th Biennial ACM Symposium on Eye Tracking Research and Applications, ETRA 2016 - Charleston, United States
Duration: Mar 14 2016 → Mar 17 2016

Publication series

NameEye Tracking Research and Applications Symposium (ETRA)
Volume14

Conference

Conference9th Biennial ACM Symposium on Eye Tracking Research and Applications, ETRA 2016
Country/TerritoryUnited States
CityCharleston
Period3/14/16 → 3/17/16

ASJC Scopus Subject Areas

  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction
  • Ophthalmology
  • Sensory Systems

Keywords

  • Eye movements
  • Optimal viewing position
  • Reading
  • Text recognition
  • Textviewing

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