Evidence map›Paper›PMID 37771805›Full record

ArticleFrontiers in psychology2023

A study of dynamic emoji emotional responses based on rhythms and motion effects.

Danni Yang, Mei Wang, Yutong Ren, Xiaoyan Dong, Tian Yang

Abstract read
In one paragraph

Article in Frontiers in psychology, 2023. 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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1 · What the graph read from it

What it found

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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

5 authors.

Danni YangSchool of Mechanical Engineering, Sichuan University, Chengdu, China.
Mei WangSchool of Mechanical Engineering, Sichuan University, Chengdu, China.
Yutong RenSchool of Mechanical Engineering, Sichuan University, Chengdu, China.
Xiaoyan DongSchool of Mechanical Engineering, Sichuan University, Chengdu, China.
Tian YangSchool of Mechanical Engineering, Sichuan University, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dynamic emojis are a form of nonverbal communication used in social programs to express emotions during conversations. Studies have shown that different dynamic effects can influence users' emotional perceptions. Previous studies have focused on the emotional responses elicited by static emojis, while the emotional responses to dynamic emojis have not been thoroughly explored. In this study, we examined the impact of 128 different dynamic effects, categorized into emotional types (HAHV, LAHV, HALV, and LALV), on users' arousal and valence, and conducted semi-structured interviews to identify users' preferred dynamic effects. The results revealed significant and positive correlations between the arousal levels of all dynamic emojis and the effects of rhythms. However, the impact of rhythms on the valence of dynamic emojis varied depending on the emotion types of emojis. Specifically, the effects of motion on the valence of dynamic high-valence emojis were found to be significant, whereas they were not significant for dynamic low-valence emojis. Based on these findings, we recommend considering following factors in the design of dynamic emojis, including rhythms, motion effects, motion range, emotional metaphors, and the creation of contrast.

Indexed as

arousaldynamic emojimotion effectrhythmvalence

Identifiers

PMID37771805
PMCPMC10523386

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LicenceCC BY
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Registered trials

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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.