딥러닝 기반 제품에 대한 소비가치가 수용에 미치는 영향: 기독교적 종교성의 조절효과

Recently, as artificial intelligence such as deep learning has developed, it is beginning to be applied to product production, such as creating new ideas or media. Correspondingly, the expectation for increasing productivity of new products is increasing. However, there is still a negative opinion on the use of deep learning such as deep fake, and it is still not obvious whether the technology will be accepted. In addition, little has been known about the interests of Christians in their evaluation and acceptance of deep learning-based products. As a follow-up study of religiousness on the acceptance of artificial intelligence products, the purpose of this study is to verify the moderating effect of christian religiousness on deep learning-based products. Especially, this paper empirically analyzes whether christian religiousness plays a moderating effect on the effect of consumer's consumption value on its acceptance. To this end, we surveyed 163 consumers in their 20s and 30s about the appraisal of apparel products made by deep learning technology called cycleGAN. As a result, Christians significantly influenced product acceptance in functional values ​​and non-Christian in social and emotional values. On the other hand, it was found that the intention of recommendation had a significant influence on the intention of recommendation for the product in the functional value and social value in the case of Christians and in the emotional value in the case of Christians.