# Sensory-based visual attention in autism: from normalization to adaptive support

**Authors:** Paola Chilà, Antonino Pricipato, Gaia Roccaforte, Flavio Corpina, Chiara Marraffa, Gaetano Vivona, Chiara Failla, Giovanni Pioggia, Flavia Marino

PMC · DOI: 10.3389/fpsyt.2026.1756363 · 2026-01-28

## TL;DR

This paper suggests viewing visual attention in autism as a strength rather than a deficit, promoting understanding and inclusion over correction.

## Contribution

It proposes a new perspective on autistic visual attention as a resource for personal orientation in complex environments.

## Key findings

- Autistic visual attention can be a valuable resource for navigating complex environments.
- Digital technologies can help study and highlight the strengths of autistic attention.
- A shift from correction to understanding supports the well-being and autonomy of people with autism.

## Abstract

Over the years, attentional characteristics such as reduced attention to faces or eye contact have been considered impairments and in need of correction in people with autism. This work proposes a reinterpretation of visual attention in people with autism, going beyond the traditional deficit-based approach. It proposes a shift in perspective by examining the characteristics of visual attention in people with autism as a resource for personal orientation strategies in complex and challenging environments. To better study and observe these mechanisms, the use of digital technologies such as mobile eye trackers, virtual reality, and other digital technologies can offer valuable support for better delineating the different strengths of this type of attentional modality, which deviates from the “norm.” Therefore, rather than focusing on correction, the shift in perspective should focus much more on the understanding, well-being, and autonomy of people with autism. Viewing autistic attention not as a problem, but as a resource to be valued, is the first step towards building a truly inclusive society.

## Full-text entities

- **Diseases:** autism (MESH:D001321)

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Source: https://tomesphere.com/paper/PMC12891211