Skip to main content
Log in

Statistical learning for non-social and socially-meaningful stimuli in individuals with high and low levels of autistic traits

  • Published:
Current Psychology Aims and scope Submit manuscript

Abstract

Autism spectrum disorder (ASD) is associated with weaknesses in social communication and interaction but potential strengths in perceptual processing of non-social stimuli. It is unknown to what extent such strengths and weaknesses affect statistical learning (SL), which is the ability to learn statistical regularities from environmental input. Rather than focus on individuals with a diagnosis of ASD, we take a spectrum approach to autism and examine undiagnosed Chinese young adults who either have high or low levels of autistic traits (ATs) as assessed by the Autism-Spectrum Quotient. Experiment 1 incorporated non-social and non-linguistic auditory input (pure tones) whereas Experiment 2 used socially-meaningful input (spoken Chinese disyllables). The results showed a striking dissociation between the different SL tasks. For the non-social stimuli (Experiment 1), both individuals with high and low ATs showed evidence of SL of the input regularities, with the individuals having high levels of ATs showing significantly better performance than those with low levels of ATs. On the other hand, when socially-meaningful stimuli were incorporated (Experiment 2), only the individuals with low ATs showed evidence of SL; the performance of the high ATs group was not significantly different from chance. These findings suggest that ATs differentially affect the learning and processing of non-social and socially-meaningful stimuli, which in turn has implications for clinical interventions for ASD and for individuals with high ATs.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

Data Availability

The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.

References

Download references

Code Availability

Not applicable.

Funding

National Natural Science Foundation of China (31160201).

Author information

Authors and Affiliations

Authors

Contributions

Xiujun Li and Xueping Bai have contributed equally to this work as co-first authors. Conceptualization: Xiujun Li, Wendian Shi; Methodology: Xiujun Li, Xueping Bai; Data Curation and Formal analysis: Xueping Bai; Writing - original draft preparation: Xiujun Li, Xueping Bai, Christopher M. Conway, Xin Wang; Writing - review and editing: Xiujun Li, Wendian Shi, Christopher M. Conway.

Corresponding author

Correspondence to Wendian Shi.

Ethics declarations

Conflict of Interest

The authors declare that they have no conflict of interest.

Ethnical Approval

All procedures performed in this study involving human participants were in accordance with ethical standards of institutional and national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

Consent to Participate

Informed consent was given to all participants in order to get their allowance for this study.

Consent for Publication

Not applicable.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Li, X., Bai, X., Conway, C.M. et al. Statistical learning for non-social and socially-meaningful stimuli in individuals with high and low levels of autistic traits. Curr Psychol 42, 14700–14710 (2023). https://doi.org/10.1007/s12144-022-02703-0

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12144-022-02703-0

Keywords

Navigation