The roles of personality traits, AI anxiety, and demographic factors in attitudes towards artificial intelligence
AffiliationAtaturk University; Sivas Cumhuriyet University; University of Chester; Bayburt University
MetadataShow full item record
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.
CitationKaya, F., Aydin, F., Schepman, A., Rodway, P., Yetişensoy, O., & Demir Kaya, M. (2022). The roles of personality traits, AI anxiety, and demographic factors in attitudes towards artificial intelligence. International Journal of Human–Computer Interaction, vol(issue), pages. https://doi.org/10.1080/10447318.2022.2151730
PublisherTaylor and Francis
DescriptionThis is an Accepted Manuscript of an article published by Taylor & Francis in International Journal of Human-Computer Interaction on 07/12/2022, available online: https://doi.org/10.1080/10447318.2022.2151730
Except where otherwise noted, this item's license is described as https://creativecommons.org/licenses/by-nc-nd/4.0/