Evidence map›Paper›PMID 42516187›Full record

ArticleFrontiers in psychology2026

How AI-animated historical photographs evoke emotional resonance: the mediating role of mental imagery and the moderating effect of perceived historical authenticity.

Zhang Huanhuan, Li Han, Song Zhangtong

Abstract read
In one paragraph

Article in Frontiers in psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

3 authors.

Zhang HuanhuanSchool of Creative Design, Wuhan Business University, Wuhan, China.
Li HanSchool of Creative Design, Wuhan Business University, Wuhan, China.
Song ZhangtongSchool of Creative Design, Wuhan Business University, Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study examines how the presentation format of AI-animated historical photographs influences viewers' emotional and communicative responses. Although AI-based animation of historical photographs has become increasingly common in digital historical communication, the psychological mechanism through which dynamic presentation shapes audience engagement remains unclear. Drawing on mental imagery theory, this study proposes that dynamic presentation enhances emotional resonance by facilitating viewers' internal simulation of historical scenes, and that this effect is contingent on perceived historical authenticity. Three experiments were conducted to test this framework. Experiment 1 demonstrated that, compared with static presentation, dynamic presentation significantly increased emotional resonance. Experiment 2 further showed that mental imagery mediated the relationship between presentation format and emotional resonance, whereas emotional state and historical interest did not produce significant mediating effects. Experiment 3 introduced perceived historical authenticity as a moderator and found that the indirect effect of presentation format on emotional resonance through mental imagery was stronger when perceived historical authenticity was high. In addition, emotional resonance significantly predicted willingness to share, and mental imagery and emotional resonance jointly formed a serial mediation pathway linking presentation format to sharing intention. These findings indicate that the effects of AI-animated historical photographs cannot be explained solely by perceptual vividness. Rather, dynamic presentation influences audience response through simulation-based affective processing, and this process depends on whether viewers perceive the content as historically credible. By integrating presentation format, mental imagery, perceived historical authenticity, emotional resonance, and willingness to share into a unified framework, this study advances understanding of how AI-animated historical photographs are emotionally processed and socially circulated.

Indexed as

AI-animated historical photographsemotional resonancemental imageryperceived historical authenticitypresentation formatwillingness to share

Identifiers

PMID42516187
PMCPMC13403326

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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.