Automated text simplification as a reading aid for low-vision individuals

old_uid18828
titleAutomated text simplification as a reading aid for low-vision individuals
start_date2021/03/16
schedule12h45-13h45
onlineno
location_infosalle Annie Génovèse & visio
detailsSalle virtuelle Zoom du laboratoire (mot de passe : cognition) https://univ-grenoble-alpes-fr.zoom.us/j/94294861881?pwd=dkN2MzMvYXpZMnYwYjZPWS9GVUV4Zz09
summaryIn developed countries, the majority of people with visual impairment are legally blind, but not totally blind. Instead, they have what is referred to as low vision, commonly caused by Central visual Field Loss (CFL). This degenerative condition is caused by non-curable retinal diseases, such as Age-related Macular Degeneration (DMLA in French). Patients suffering from such pathologies will develop a blind region called scotoma, located at the center of their visual field and spanning about 20° or more. To better visualize the impact of such a large hole in your visual field, try stretching your index and little finger as far as possible from each other at arm’s length ; the span is about 15°. Central vision cannot be restored and difficulty with reading becomes the primary complaint of patients seeking rehabilitation. To help CFL individuals improve their reading performance, it is necessary to investigate the underlying causes of their deficit, to then overcome them with specific adjustments. In this presentation, I propose to address the issue of reading with CFL from a new perspective, a linguistic one, that takes into account the whole complexity of texts. I will present a series of experiments that investigate what makes a text especially complex when reading with CFL, by assessing the effect of lexical properties on reading speed. We will focus on three word properties : frequency, orthographic similarity and length. I will conclude on the relevance of this work to design text simplification tools, customised to the specific needs of readers with CFL, to be used as efficient reading aids for this population.
responsiblesLaboissière