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Neurodivergent intersubjectivity: Distinctive features of how autistic people create shared understanding
Open accessAbstract
Autistic people are neurologically divergent, yet approaches to studying autism are framed by neurotypical definitions of being social. Using the concept of intersubjectivity, which conceptualises a variety of ways of socially relating, we investigate distinctive features of how autistic people build social understanding. A total of 30 members of a charity supporting adults with autism were video-recorded during a social activity they enjoyed, namely collaborative video gaming. Mapping the coherence, affect and symmetry of each conversational turn revealed shifting patterns of intersubjectivity within each interaction. Focussing on clusters of consistent and fragmented turns led us to identify two features of neurodivergent intersubjectivity: a generous assumption of common ground that, when understood, led to rapid rapport, and, when not understood, resulted in potentially disruptive utterances; and a low demand for coordination that ameliorated many challenges associated with disruptive turns. Our findings suggest that neurodivergent intersubjectivity reveals potential for unconventional forms of social relating and that a within-interaction analysis is a viable methodology for exploring neurodivergent communication. Future research should examine the varieties of neurodivergent intersubjectivity, with associated problems and potentials, and how those forms of intersubjectivity can be enabled to flourish, particularly in autistic-to-neurotypical encounters.
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“Emerging evidence also suggests that autistic social interaction may incorporate distinctive features that promote social understanding between autistic people (termed ‘neurodivergent intersubjectivity’; Heasman & Gillespie, 2019).”
From Annual Research Review: Shifting from ‘normal science’ to neurodiversity in autism science (2022) · cites this paper as Heasman & Gillespie, 2019
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Metadata
- Authors
- Heasman, B., & Gillespie, A.
- Affiliations
- London School of Economics and Political Science (GB)
- Corresponding author
- Heasman, Brett
- Venue
- Autism
- Publisher
- SAGE Publications
- Published
- 2018-08-03
- Volume
- 23
- Issue
- 4
- Pages
- 910-921
- ISSN
- 1362-3613 (ISSN-L)
- 1461-7005
- PMC
- PMC6512057
- OpenAlex
- W2886786591
- Cited by
- 316
- References
- 56
- Citations by year
- 2026: 112 · 2025: 70 · 2024: 33 · 2023: 32 · 2022: 20 · 2021: 26 · 2020: 18 · 2019: 5
- FWCI
- 7.30
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Autism (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- London School of Economics and Political Science Research Online (London School of Economics and Political Science) (acceptedVersion)
- Research at York St John (York St John University) (submittedVersion)
- London School of Economics and Political Science Theses Online (London School of Economics and Political Science) (submittedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Funders
- Economic and Social Research Council (ES/J500070/1)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Autism Spectrum Disorder Research
- Social Sciences › Arts and Humanities › Language and Linguistics › Language, Discourse, Communication Strategies
- Social Sciences › Psychology › Developmental and Educational Psychology › Child and Animal Learning Development
- Keywords
- mutual understanding, social communication, conversational turns, common ground, rapport building, coordination
- MeSH terms
- Adolescent, Adult, Autistic Disorder, Communication, Female, Humans, Interpersonal Relations, Male, Social Behavior, Video Games, Comprehension, Qualitative Research, Young Adult
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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