Social Sciences (Apr 2023)

The Affective Regulation of Uncertainty: The Semiotic Dimensionality Model (SDM)

  • Sergio Salvatore,
  • Terri Mannarini,
  • Alessandro Gennaro,
  • Giovanna Celia,
  • Serena De Dominicis,
  • Raffaele De Luca Picione,
  • Salvatore Iuso,
  • Skaiste Kerušauskaitė,
  • Johann Roland Kleinbub,
  • Arianna Palmieri,
  • Filippo Pergola,
  • Matteo Reho,
  • Alessia Rochira,
  • Giulia Rocchi

DOI
https://doi.org/10.3390/socsci12040217
Journal volume & issue
Vol. 12, no. 4
p. 217

Abstract

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This paper presents a novel psychological model of the socio-cognitive management of uncertainty, the semiotic dimensional model (SDM). The SDM claims that uncertainty increases the momentum of affect-laden meanings in meaning-making. This is so because affective meanings provide a simplified interpretation of the world that restores the experience of being able to make sense of the reality destabilized by uncertainty. Moreover, the SDM models the affective meanings in terms of low-dimensional mental phase space (MPS). Each dimension of the MPS detects a facet of the context. The lower the MPS dimensionality, the lower the number of facets of the context processed, therefore, the more simplified the meaning-making is. We attained the first empirical validation of the SDM in a sample of 120 Italian people. First, the SDM assumption that the low-dimensional MPS is the computational descriptor of affective meaning was tested. Second, an experimental study was designed in which uncertainty was manipulated so as to assess its effects on the dimensionality of participants’ MPS. It was hypothesized that uncertainty induces a decrease in the MPS dimensionality. Results were consistent with both hypotheses. Theoretical implications of the SDM and its relationship with other theories are discussed and future research direction outlined.

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