Mist – An Interactive Virtual Pet for Autism Spectrum Disorder Stress Onset Detection & Mitigation


Student Name: Brinley Hull
Defense Date:
Location: Nichols Hall, Room 317 (Moore Conference Room)
Chair: Arvin Agah

Perry Alexander

David Johnson

Sumaiya Shomaji

Abstract:

Individuals with Autism Spectrum Disorder (ASD) frequently experience elevated stress and are at higher risk for mood disorders such as anxiety and depression. Sensory over-responsivity, social challenges, and difficulties with emotional recognition and regulation contribute to such heightened stress. This study presents a proof-of-concept system that detects and mitigates stress through interactions with a virtual pet. Designed for young adults with high-functioning autism, and potentially useful for people beyond that group, the system monitors simulated heart rate, skin resistance, body temperature, and environmental sound and light levels. Upon detection of stress or potential triggers, the system alerts the user and offers stress-reduction activities via a virtual pet, including guided deep-breathing exercises and interactive engagement with the virtual companion. Through combining real-time stress detection with interactive interventions on a single platform, the system aims to help autistic individuals recognize and manage stress more effectively.

Degree: MS Thesis Defense (CS)
Degree Type: MS Thesis Defense
Degree Field: Computer Science