Visually grounded emotion regulation via diffusion models and user-driven reappraisal

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Overview

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This paper describes a system that uses text-to-image diffusion models to visually augment cognitive reappraisal by transforming spoken reinterpretations into supportive images. It is intended for individuals who may find traditional verbal reappraisal strategies cognitively demanding or abstract. The authors report on a small within-subjects experiment suggesting that this AI-assisted approach can reduce negative affect and enhance regulatory efficacy through multimodal coherence.

ID
2b95ef0f85274f81
Source org
PubMed Central
Author
Edoardo Pinzuti (Leibniz Institute for Resilience Research), Oliver Tüscher (Johannes Gutenberg University Mainz), André Ferreira Castro (Technical University of Munich)
Published
2026-03-04
OA status
gold
DOI
10.3389/frai.2026.1691445
PMID
Not recorded
PMCID
Not recorded
Citations
0

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BibTeX

@article{allodium:2b95ef0f85274f81,
  title = {Visually grounded emotion regulation via diffusion models and user-driven reappraisal},
  author = {Edoardo Pinzuti and Oliver Tüscher and André Ferreira Castro},
  year = {2026},
  journal = {PubMed Central},
  doi = {10.3389/frai.2026.1691445},
  url = {https://doi.org/10.3389/frai.2026.1691445}
}

RIS

TY  - JOUR
TI  - Visually grounded emotion regulation via diffusion models and user-driven reappraisal
AU  - Pinzuti, Edoardo
AU  - Tüscher, Oliver
AU  - Castro, André Ferreira
PY  - 2026
PB  - PubMed Central
DO  - 10.3389/frai.2026.1691445
UR  - https://doi.org/10.3389/frai.2026.1691445
ER  -

APA

Pinzuti, E., Tüscher, O., & Castro, A. F. (2026). Visually grounded emotion regulation via diffusion models and user-driven reappraisal. PubMed Central. https://doi.org/10.3389/frai.2026.1691445

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