Xu, Stroud, Jozanovic, Clucas, Son, Koo, Schwarz, Klein, Busman, Milham
Selective
Mutism (SM) is an anxiety disorder often diagnosed in early childhood and
characterized by persistent failure to speak in certain social situations but
not others. Diagnosing SM and monitoring treatment response can be quite
complex, due in part to changing definitions of and scarcity of research
about the disorder. Subjective self-reports and parent/teacher interviews can
complicate SM diagnosis and therapy, given that similar speech problems of
etiologically heterogeneous origin can be attributed to SM. The present
perspective discusses the potential for passive audio capture to help
overcome psychiatry’s current lack of objective and quantifiable assessments
in the context of SM. We present supportive evidence from two pilot studies
indicating the feasibility of using a digital wearable device to quantify
child vocalization features affected by SM. We also highlight comparative
analyses of passive audio capture and its potential to enhance diagnostic
characterizations for SM, as well as possible limitations of such
technologies.