Evidence map›Paper›PMID 40408363›Full record

ArticlePloS one2025

Assessment of the role of emotions in audiovisual associations through an enactive approach.

Costanza Cenerini, Luca Vollero, Nicola Di Stefano, Marco Santonico, Giorgio Pennazza, Flavio Keller

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Costanza CeneriniDepartment of Engineering, Unit of Electronics for Sensor Systems, Università Campus Bio-Medico di Roma, Rome, Italy.ORCID https://orcid.org/0000-0001-7765-3008
Luca VolleroDepartment of Engineering, Unit of Computational Systems and Bioinformatics, Università Campus Bio-Medico di Roma, Rome, Italy.
Nicola Di StefanoNational Research Council, Institute of Cognitive Sciences and Technology, Rome, Italy.
Marco SantonicoDepartment of Science and Technology for Sustainable Development and One Health, Unit of Electronics for Sensor Systems, Università Campus Bio-Medico di Roma, Rome, Italy.
Giorgio PennazzaDepartment of Engineering, Unit of Electronics for Sensor Systems, Università Campus Bio-Medico di Roma, Rome, Italy.
Flavio KellerDepartment of Medicine, Unit of Developmental Neuroscience, Università Campus Bio-Medico di Roma, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the expanding literature on audiovisual associations, the question of how music influences the way a person actively creates an image has received little attention. To address this gap, our study investigated the effect of music-induced emotions on several key parameters that define visual images. Following the hypothesis that creating an image while listening to emotionally evocative music would result in artwork emotionally coherent with the music, we designed a two-phase experiment. During the first phase, participants listened to ten original songs that were composed to evoke a broad range of emotions and were asked to create an image by manipulating both colour (i.e. Saturation, Brightness, Hue) and Geometric parameters (i.e., Shape, Dimension, Spatial Dispersion, and Numerosity). Participants were also required to describe the emotional responses evoked by the songs, assigning scores to a predefined set of nine musical emotions (Amazement, Solemnity, Tenderness, Nostalgia, Calmness, Power, Joyful Activation, Tension, and Sadness). In the second phase, participants viewed images with one parameter set at an extreme value while others remained at intermediate levels and were asked to describe the emotions elicited by the images. This approach enabled us to collect data on the associations between music and images, music and emotions, and images and emotions, thereby assessing whether paired audiovisual contents share the same emotional meaning. Findings reveal that sadness in music influences Brightness and Spatial Dispersion of objects in image creation. Sadness also influences Saturation. Surprisingly, amazement shared many similarities with sadness in terms of influenced parameters, namely Brightness and Dispersion, and was correlated with the colour green, typically evoking solemnity and tenderness. These findings shed novel light on the role of emotions in the mediation of audiovisual associations.

Indexed as

Auditory PerceptionEmotionsMusicVisual PerceptionAcoustic StimulationAdultFemaleHumansMalePhotic StimulationYoung Adult

Identifiers

PMID40408363
PMCPMC12101654

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.