Diagnostic status influences rapport and communicative behaviours in dyadic interactions between autistic and non-autistic people
- PMID: 40880345
- PMCID: PMC12396695
- DOI: 10.1371/journal.pone.0330222
Diagnostic status influences rapport and communicative behaviours in dyadic interactions between autistic and non-autistic people
Abstract
A growing body of research suggests that the behaviours and experiences of autistic and non-autistic people are influenced by whether they are interacting with someone of the same or different diagnostic status. However, little is known about the relationship between these behaviours and the experiences of rapport in matched and mixed neurotype dyads. Using the Actor-Partner Interdependence Model, our pre-registered analyses examine how participants' and their partners' diagnostic statuses influence linguistic, behavioural, and kinematic indices, and how these relate to feelings of rapport among autistic and (n = 57; 17 self-diagnosed) non-autistic (n = 51) participants interacting within autistic (n = 20), non-autistic (n = 17), and mixed autistic-non-autistic (n = 17) dyads. We found that autistic participants reported lower rapport regardless of their partner's diagnostic status, though awareness of their partner's diagnostic status had a moderating effect. We observed a linguistic difference, autistic participants produced longer mean utterance lengths, these and other behavioural or kinematic indices did not mediate the relationship between diagnostic status and rapport across neurotypes. The current work highlights the need for a nuanced understanding of communication dynamics in autism.
Copyright: © 2025 Efthimiou et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Conflict of interest statement
The authors have declared that no competing interests exist.
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References
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- Hagad JL, Legaspi R, Numao M, Suarez M. Predicting levels of rapport in dyadic interactions through automatic detection of posture and posture congruence. In: 2011 IEEE Third Int’l Conference on Privacy, Security, Risk and Trust and 2011 IEEE Third Int’l Conference on Social Computing. 2011. pp. 613–6. doi: 10.1109/passat/socialcom.2011.143 - DOI
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- Puccinelli NM, Tickle-Degnen L, Rosenthal R. Effect of dyadic context on judgments of rapport: Dyad task and partner presence. J Nonverbal Behav. 2023;2.
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