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. 2020 May 29;15(5):e0233592.
doi: 10.1371/journal.pone.0233592. eCollection 2020.

Gradual positive and negative affect induction: The effect of verbalizing affective content

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Gradual positive and negative affect induction: The effect of verbalizing affective content

Charlotte Out et al. PLoS One. .

Abstract

In this paper, we study the effect of verbalizing affective pictures on affective state and language production. Individuals describe (Study I: Spoken Descriptions of Pictures) or passively view (Study II: Passively Viewing Pictures) 40 pictures for the International Affective Picture System (IAPS) that gradually increase from neutral to either positive or negative content. We expected that both methods would result in successful affect induction, and that the effect would be stronger for verbally describing pictures than for passively viewing them. Results indicate that speakers indeed felt more negative after describing negative pictures, but that describing positive (compared to neutral) pictures did not result in a more positive state. Contrary to our hypothesis, no differences were found between describing and passively viewing the pictures. Furthermore, we analysed the verbal picture descriptions produced by participants on various dimensions. Results indicate that positive and negative pictures were indeed described with increasingly more affective language in the expected directions. In addition to informing our understanding of the relationship between (spoken) language production and affect, these results also potentially pave the way for a new method of affect induction that uses free expression.

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Conflict of interest statement

The authors have declared that no competing interests exist.

Figures

Fig 1
Fig 1. Individual affect scores for participants viewing and describing pictures.
The dots of the bold lines represent the mean scores.
Fig 2
Fig 2. Individual affect scores for participants Passively Viewing Pictures.
The dots of the bold lines represent the mean scores.
Fig 3
Fig 3. Trend lines for average scores per item (represented by dots), per condition for positive emotion words, negative emotion words, affective words, and word count.
Bands represent confidence intervals.

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