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March 4, 2026Behavior Research MethodsOpen Access

Joint attention in autism: A narrative review of assessment techniques from behavioral observation to artificial intelligence

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Authors

MQMarwa QaraqeEVElizabeth B. VargheseIQInam Qadir

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Overview

Narrative review highlights assessment techniques for joint attention in autism, suggesting paths for improvement.

Key Points

  • The aim is to explore assessment techniques for joint attention (JA) in autism spectrum disorder (ASD) and their effectiveness.
  • Review of research from 2002 to 2024 indexed in major bibliographic databases
  • Categorization of assessment methods into human-mediated and technology-assisted approaches
  • Examination of aspects like target populations, data collection, and validation strategies
  • Joint attention is often impaired in children with ASD.
  • Human-mediated methods are traditional but have limitations.
  • Technology-assisted methods, including AI, present new opportunities for more precise assessment.

Cite This Study

Qaraqe et al. (2026) studied this question.

synapsesocial.com/papers/69a7ccd5d48f933b5eed8a0ehttps://doi.org/10.3758/s13428-026-02950-0
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Joint Attention Assessment in School-Age Children With Autism: A Thematic Analysis for Technology Integration2026
  2. 2Mapping the landscape of joint attention assessment in autism spectrum disorder: a systematic review of tools, techniques, and gaps2026
  3. 3Robot-Assisted Joint Attention: A Comparative Study Between Children With Autism Spectrum Disorder and Typically Developing Children in Interaction With NAO2020 · 43 citations
  4. 4Eye-tracking Joint Attention Tasks in Autistic Children: A Review2026 · 2 citations
  5. 5Towards the Ecological Automated Measurement of Joint Attention: Development of an Interactive Eye-tracking Battery for Joint Attention in Children with and without Autism2025 · 1 citations