TY - JOUR
T1 - I Was Born to Love AI
T2 - The Influence of Social Status on AI Self-Efficacy and Intentions to Use AI
AU - Hong, Joo Wha
N1 - Publisher Copyright:
© 2022 (Joo-Wha Hong). Licensed under the Creative Commons Attribution Non-commercial No Derivatives (by-nc-nd). Available at http://ijoc.org
PY - 2022
Y1 - 2022
N2 - This study employed a survey to examine the role of social status on the acceptance of artificial intelligence (AI) technology. One’s self-efficacy with using AI technology was assumed to be determined by various factors coming from demographic status, which ultimately leads to the intention to use that technology. This was hypothesized based on the technology acceptance model, self-efficacy, and diffusion of innovation. Participants (n = 369) reported their perceived mastery of AI products, vicarious experiences with AI products, social persuasions of using AI products, AI self-efficacy, perceived usefulness of AI, perceived ease of using AI, intention to use AI, and demographic information. Both education level and income were found to affect the intention to adopt AI technology through AI self-efficacy. However, the age of participants was found not to be a determinant.
AB - This study employed a survey to examine the role of social status on the acceptance of artificial intelligence (AI) technology. One’s self-efficacy with using AI technology was assumed to be determined by various factors coming from demographic status, which ultimately leads to the intention to use that technology. This was hypothesized based on the technology acceptance model, self-efficacy, and diffusion of innovation. Participants (n = 369) reported their perceived mastery of AI products, vicarious experiences with AI products, social persuasions of using AI products, AI self-efficacy, perceived usefulness of AI, perceived ease of using AI, intention to use AI, and demographic information. Both education level and income were found to affect the intention to adopt AI technology through AI self-efficacy. However, the age of participants was found not to be a determinant.
KW - Artificial intelligence
KW - Diffusion of innovation
KW - Self-efficacy
KW - Social status
KW - Technology acceptance model
UR - https://www.scopus.com/pages/publications/85125078763
M3 - Article
AN - SCOPUS:85125078763
SN - 1932-8036
VL - 16
SP - 172
EP - 191
JO - International Journal of Communication
JF - International Journal of Communication
ER -