Towards Big Data Approaches in Eye Tracking

Eye tracking has become a core research methodology for understanding human development, social cognition, and neuropsychiatric conditions. In this panel, we follow the next logical evolution of eye tracking in autism research towards large scale studies that begin to blur the line between research technique and practical tool. The thematically-linked presentations in this panel report on new eye tracking findings involving four institutions and 1,808 unique participants including 696 individuals with ASD. Weaving between the science enabled by eye tracking and the eye tracking enabled by methodological advances, the goal of this panel is to provide perspectives on (1) what eye tracking across large samples tells us about autism, (2) the potential of eye tracking as a practical tool for discovery, therapeutics, and phenotyping, and (3) the methodological issues that must be addressed to enable the next generation of big data studies using eye tracking in autism research.
Saturday, May 14, 2016: 10:30 AM-12:30 PM
Room 307 (Baltimore Convention Center)
Panel Chair:
F. Shic
A. Klin
10:30 AM
10:55 AM
Large Scale Eye Tracking in EU-AIMS Longitudinal Autism Research Project (LEAP): Methods and Preliminary Findings from a Biological Motion Task
L. Mason F. Shic E. Loth T. Banaschewski S. Baron-Cohen S. Bolte T. Bourgeron T. Charman S. Durston M. H. Johnson A. M. M. Persico J. K. Buitelaar D. G. Murphy W. Spooren
11:20 AM
Children with ASD Look Less at Faces When It Really Matters
J. Parish-Morris C. Chevallier B. E. Yerys J. Herrington E. S. Brodkin R. T. Schultz
11:45 AM
Eye Tracking in Between: Gaze Behaviors on Structural Trial Components in Toddlers with ASD
F. Shic Q. Wang C. A. Wall A. Naples S. Macari K. Chawarska