Part III: Affect Signatures

Affect Signatures of Aesthetic Forms

Introduction
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Affect Signatures of Aesthetic Forms

Different aesthetic forms have characteristic affect signatures:

FormConstitutive Structure
TragedyVal\valence{-}, Φ\intinfo{\uparrow\uparrow}, reff\effrank{\downarrow}, CF\mathcal{CF}{\uparrow} (suffering structure made beautiful through integration)
ComedyVal+\valence{+}, Ar\arousal{\uparrow}, reff\effrank{\uparrow} (release, expansion, lightness)
Lyric poetryCF\mathcal{CF}{\uparrow}, SM\mathcal{SM}{\uparrow}, Φ\intinfo{\uparrow} (self-reflection made resonant)
Abstract artΦ\intinfo{\uparrow}, reff\effrank{\uparrow\uparrow}, SM\mathcal{SM}{\downarrow} (pure structure, self-forgetting)
HorrorVal\valence{-}, Ar\arousal{\uparrow\uparrow}, CF\mathcal{CF}{\uparrow\uparrow}, SM\mathcal{SM}{\uparrow\uparrow} (fear structure in controlled context)
Software Implementation

AffectSpace: Immersive Validation Platform

A software system to validate the affect framework by comparing predicted structural signatures with self-report:

Architecture:

  1. Stimulus Library: Curated collection of affect-inducing stimuli
  2. Real-time Self-Report Interface
  3. Physiological Integration (optional)
  4. Prediction Engine

Validation Metrics:

  • Per-dimension correlation for predicted dimensions
  • Clustering accuracy: do induced affects cluster by their predicted structure?
  • Dimensionality validation: does each affect require its predicted number of dimensions?

If predicted dimensions do not predict self-report better than others, or if clustering requires different dimensions than predicted, the motif characterizations are wrong.