Emotion recognition in children with autism spectrum disorders: relations to eye gaze and autonomic state.

Bal et al. (2010) watched children with autism look at faces showing happy, sad, angry, and scared feelings. They timed how fast each child picked the right emotion word. They also tracked eye gaze and measured heart rate and a heart-variability index called RSA.

The team compared kids with autism to same-age peers without autism. All kids sat at a computer and clicked the matching word for each face.

Children with autism were slower and got more answers wrong, especially for angry faces. Their hearts beat faster and their RSA was lower, showing less calm flexibility.

Within the autism group, kids with higher RSA were quicker to name emotions. Eye gaze did not explain the accuracy gap.

Kuusikko et al. (2009) saw the same accuracy lag one year earlier, proving the emotion-recognition deficit is steady across studies.

Gonzaga et al. (2021) extends the autonomic story by adding non-linear heart-rate metrics and linking them to autism severity, building on Elgiz’s basic RSA finding.

Kaartinen et al. (2012) also ties autonomic arousal to social problems, but uses skin-conductance during eye contact instead of RSA during face naming.

Wang et al. (2023) seems to clash by showing improved perception with weak-to-strong emotion sequences, yet the gain is modest and does not erase the core accuracy gap Elgiz reports.

You can screen for low RSA with a cheap heart-rate watch. If a client shows low variability, build calming breaks into social-skills sessions and start with high-intensity happy faces before angry ones. Pairing brief breathing exercises with emotion drills may boost both autonomic flexibility and recognition speed.