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dc.contributor.authorKaya, Feridun
dc.contributor.authorAydin, Fatih
dc.contributor.authorSchepman, Astrid
dc.contributor.authorRodway, Paul
dc.contributor.authorYetişensoy, Okan
dc.contributor.authorDemir Kaya, Meva
dc.date.accessioned2022-12-20T09:58:23Z
dc.date.available2022-12-20T09:58:23Z
dc.date.issued2022-12-07
dc.identifierhttps://chesterrep.openrepository.com/bitstream/handle/10034/627389/The%20Roles%20of%20Personality%20Traits%20AI%20Anxiety%20and%20Demographic%20Factors%20in%20Attitudes%20toward%20Artificial%20Intelligence.pdf?sequence=4
dc.identifier.citationKaya, F., Aydin, F., Schepman, A., Rodway, P., Yetişensoy, O., & Demir Kaya, M. (2024). The roles of personality traits, AI anxiety, and demographic factors in attitudes towards artificial intelligence. International Journal of Human–Computer Interaction, 40(2), 497-514. https://doi.org/10.1080/10447318.2022.2151730en_US
dc.identifier.issn1044-7318
dc.identifier.doi10.1080/10447318.2022.2151730
dc.identifier.urihttp://hdl.handle.net/10034/627389
dc.description.abstractThe present study adapted the General Attitudes toward Artificial Intelligence Scale (GAAIS) to Turkish and investigated the impact of personality traits, artificial intelligence anxiety, and demographics on attitudes toward artificial intelligence. The sample consisted of 259 female (74%) and 91 male (26%) individuals aged between 18 and 51 (Mean = 24.23). Measures taken were demographics, the Ten-Item Personality Inventory, the Artificial Intelligence Anxiety Scale, and the General Attitudes toward Artificial Intelligence Scale. The Turkish GAAIS had good validity and reliability. Hierarchical Multiple Linear Regression Analyses showed that positive attitudes toward artificial intelligence were significantly predicted by the level of computer use (β = 0.139, p = 0.013), level of knowledge about artificial intelligence (β = 0.119, p = 0.029), and AI learning anxiety (β = −0.172, p = 0.004). Negative attitudes toward artificial intelligence were significantly predicted by agreeableness (β = 0.120, p = 0.019), AI configuration anxiety (β = −0.379, p < 0.001), and AI learning anxiety (β = −0.211, p < 0.001). Personality traits, AI anxiety, and demographics play important roles in attitudes toward AI. Results are discussed in light of the previous research and theoretical explanations.en_US
dc.publisherTaylor & Francisen_US
dc.relation.urlhttps://www.tandfonline.com/doi/full/10.1080/10447318.2022.2151730en_US
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.subjectArtificial intelligenceen_US
dc.subjectAI anxietyen_US
dc.subjectscaleen_US
dc.subjectvalidationen_US
dc.titleThe roles of personality traits, AI anxiety, and demographic factors in attitudes towards artificial intelligenceen_US
dc.typeArticleen_US
dc.identifier.eissn1532-7590en_US
dc.contributor.departmentAtaturk University; Sivas Cumhuriyet University; University of Chester; Bayburt Universityen_US
dc.identifier.journalInternational Journal of Human-Computer Interactionen_US
or.grant.openaccessNoen_US
rioxxterms.funderNo funding receiveden_US
rioxxterms.identifier.projectUnfundeden_US
rioxxterms.versionVoRen_US
rioxxterms.versionofrecord10.1080/10447318.2022.2151730en_US
rioxxterms.licenseref.startdate2222-12-07
dcterms.dateAccepted2022-11-22
rioxxterms.publicationdate2022-12-07
dc.date.deposited2022-12-20en_US


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