Evidence map›Paper›PMID 39135868›Full record

ArticleFrontiers in psychology2024

Emotional responses of Korean and Chinese women to Hangul phonemes to the gender of an artificial intelligence voice.

Min-Sun Lee, Gi-Eun Lee, San Ho Lee, Jang-Han Lee

Abstract read
In one paragraph

Article in Frontiers in psychology, 2024. 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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0citing papers 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

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Min-Sun LeeDepartment of Psychology, Chung-Ang University, Seoul, Republic of Korea.
Gi-Eun LeeInstitute of Cultural Diversity Content, Chung-Ang University, Seoul, Republic of Korea.
San Ho LeeDepartment of European Language and Cultures, Chung-Ang University, Seoul, Republic of Korea.
Jang-Han LeeDepartment of Psychology, Chung-Ang University, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: This study aimed to explore the arousal and valence that people experience in response to Hangul phonemes based on the gender of an AI speaker through comparison with Korean and Chinese cultures. Methods: To achieve this, 42 Hangul phonemes were used, in a combination of three Korean vowels and 14 Korean consonants, to explore cultural differences in arousal, valence, and the six foundational emotions based on the gender of an AI speaker. A total 136 Korean and Chinese women were recruited and randomly assigned to one of two conditions based on voice gender (man or woman). Results and discussion: This study revealed significant differences in arousal levels between Korean and Chinese women when exposed to male voices. Specifically, Chinese women exhibited clear differences in emotional perceptions of male and female voices in response to voiced consonants. These results confirm that arousal and valence may differ with articulation types and vowels due to cultural differences and that voice gender can affect perceived emotions. This principle can be used as evidence for sound symbolism and has practical implications for voice gender and branding in AI applications.

Indexed as

arousalartificial intelligence voiceemotionsphonemesound symbolismvalence

Identifiers

PMID39135868
PMCPMC11317464

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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.