Behavior is difficult to quantify, especially for young children developing their social skills. Recently, researchers are exploring the use of quantitative computational behavior analysis to supplement qualitative evaluations for understanding child behavior. However, it is difficult to make accurate behavioral models based from data in its current text form, which makes comparisons and analysis difficult. As a designer in the team, my role is to design an interactive visualization which could reveal the unique behavioral patterns of gaze behavior that cannot be observed first hand.
Visualizing joint gaze pattern in early detection test of children's autism.
This project is part of a larger research initiative. Our group focuses on techniques for behavioral imaging of social and communicative behaviors and creating graphical visualizations of those datasets. Joint Attention Visualization is based on the behavioral data from annotations of the Rapid Attention Back and Forth Communication Test (RABC) conducted by our collaborators (Emory and Georgia Institute of Technology) for children aged 9–30 months, to collect data about a child’s social and communicative behavior as a pre-screener for Autism Spectrum Disorders (ASD). The RABC is an structured experimental social play protocol between a child and a examiner.