Publication:
EVALUATION OF THE EMOTIONAL RESPONSES TO ARTIFICIAL INTELLIGENCE INFLUENCERS IN THAILAND

dc.contributor.authorKorbuakaew G.
dc.contributor.authorVongvit R.
dc.contributor.authorYamada K.
dc.contributor.authorKorbuakaew S.
dc.contributor.correspondenceKorbuakaew G.
dc.contributor.otherSrinakharinwirot University
dc.date.accessioned2025-05-28T07:55:23Z
dc.date.issued2024-02-01
dc.date.issuedBE2567-02-01
dc.description.abstractInfluencers refer to a person who exhibits behavior that may be intentionally or unintentionally motivating another person, which will influence the opinions of consumers both in the real world and on social media by creating noticeable content on various platforms. It affects a person’s decision to purchase and use goods or services. Nowa-days, there are two main characteristics: Traditional Influencers and AI Influencers. The researchers tested how people in society feel about both types of influencers. The Self-Assessment Manikin (SAM) was used to measure feelings in 2 aspects, namely the valence and the arousal aspect, which collected data by simple random method. There were 300 participants in this research. Studying the emotions of participants in terms of valence and arousal towards Traditional Influencers and AI Influencers, it was found that both the valence and arousal of Traditional Influencers are higher than AI Influencers. The results can be used to improve marketing strategies in line with consumer sentiments toward influencers.
dc.identifier.citationICIC Express Letters, Part B: Applications Vol.15 No.2 (2024) , 155-160
dc.identifier.doi10.24507/icicelb.15.02.155
dc.identifier.issn21852766
dc.identifier.scopus2-s2.0-85183347679
dc.identifier.urihttps://hdl.handle.net/20.500.14740/20308
dc.rights.holderSCOPUS
dc.subjectComputer Science
dc.titleEVALUATION OF THE EMOTIONAL RESPONSES TO ARTIFICIAL INTELLIGENCE INFLUENCERS IN THAILAND
dc.typeArticle
dspace.entity.typePublication
oaire.citation.endPage160
oaire.citation.issue2
oaire.citation.startPage155
oaire.citation.titleICIC Express Letters, Part B: Applications
oaire.citation.volume15
oairecerif.author.affiliationSuan Sunandha Rajabhat University
oairecerif.author.affiliationGunma University
oairecerif.author.affiliationSrinakharinwirot University
swu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85183347679&origin=inward

Files