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Localizing sensory processing sensitivity and its subdomains within its relevant trait space: a data-driven approach.

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Summary

Sensory processing sensitivity (SPS) is a distinct trait, but not unitary. Its subdomains cluster with positive traits like openness and negative traits such as neuroticism, offering new insights into SPS.

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Area of Science:

  • Psychology
  • Neuroscience
  • Personality Science

Background:

  • Sensory processing sensitivity (SPS) affects a significant population segment, involving enhanced processing of external and internal stimuli.
  • Current understanding lacks clear localization of SPS and its subdomains relative to other psychological traits.

Purpose of the Study:

  • To map SPS, measured by the Highly Sensitive Person Scale (HSPS), in relation to 11 other traits using a data-driven approach.
  • To clarify the positioning of SPS subdomains (aesthetic sensitivity, ease of excitation, low sensory threshold) within the broader trait landscape.

Main Methods:

  • Utilized hierarchical clustering, t-distributed stochastic neighbor embedding (t-SNE), and graph learning on data from over 800 participants.
  • Analyzed the HSPS in conjunction with the Big-Five Inventory, shyness, alexithymia, autism quotient, anxiety, and depression.

Main Results:

  • SPS subdomains were found to cluster differently: aesthetic sensitivity (AES) grouped with positive traits and openness.
  • Ease of excitation (EOE) and low sensory threshold (LST) subdomains clustered with negative traits, particularly neuroticism.
  • Autism-related traits showed a similar spread across clusters, while alexithymia subdomains concentrated within the negative cluster.

Conclusions:

  • Results support SPS as a distinct but non-unitary trait.
  • Findings provide a clearer conceptualization of SPS and suggest avenues for refining current SPS measurement scales.