Publications

Cover Story: The data from digitized social interactions can take us beyond the limits of the naked eye and help us capture the autistic capacity for social readiness. Using personalized analytics, we can track the person’s dynamics with biosensors that continuously co-register the micro-movements derived from their biorhythms. More important yet, we can track the spontaneously self-emerging cohesiveness of their social rapport and better inform our decisions on whether and when the socio-motor patterns of autistic people unexpectedly match those of neurotypical controls performing the same social task. Our new unifying statistical methods help us bridge the enormous social gap that current diagnostics, missing this information, have created between autistic and neurotypical people.