Detecting Autism by Analyzing a Simulated Social Interaction

• Published in: Machine Learning and Knowledge Discovery in Databases Vol. 11051; pp. 193 - 208
• Main Authors: Drimalla, Hanna, Landwehr, Niels, Baskow, Irina, Behnia, Behnoush, Roepke, Stefan, Dziobek, Isabel, Scheffer, Tobias
• Format: Book Chapter
• Language: English
• Published: Switzerland Springer International Publishing AG 2019; Springer International Publishing
• Series: Lecture Notes in Computer Science

Diagnosing autism spectrum conditions takes several hours by well-trained practitioners; therefore, standardized questionnaires are widely used for first-level screening. Questionnaires as a diagnostic tool, however, rely on self-reflection—which is typically impaired in individuals with autism spec...