| dc.description.abstract | Autism Spectrum Disorder (ASD) is a complex neurodevelopmental disorder that significantly affects children′s lives, particularly in the areas of social interaction, communication, and behavior. Early diagnosis and intervention are crucial for improving outcomes in individuals with ASD. This paper presents an Evaluation Module inspired by the widely recognized Autism Diagnostic Observation Schedule (ADOS) assessment tool, which utilizes virtual reality (VR) technology and multi-modal neurosensing to comprehensively assess ASD symptoms. The Evaluation Module consists of three stages: the Puzzle Game, Balloon Game, and Cake Game. Each stage targets specific aspects of ASD symptoms, such as gaze duration, joint attention, and conversation skills. To capture diverse neural and behavioral data, the Evaluation Module incorporates digital sensing devices, including electroencephalography (EEG), eye-tracking, and speech recognition. These devices offer valuable insights into the underlying physiological processes associated with ASD, enhancing the traditional observational methods commonly used in ASD assessments. During the assessment, the digital sensing devices continuously collect data from the participants. EEG records brain activity, eye-tracking monitors gaze patterns, and speech recognition analyzes conversational skills.The collected data then undergoes comprehensive statistical analysis, combining clinical scales, task performance measures, and neurophysiological data. This integrated analysis approach provides a comprehensive understanding of the participants′ ASD symptoms, enabling clinicians and researchers to make more informed diagnoses and tailor individualized treatment plans. The Evaluation Module demonstrates its effectiveness in supporting clinical decision-making, facilitating accurate ASD diagnoses, and optimizing treatment outcomes. | en_US |