Yin Bai, Zhengbang Xue, Min Zhang, Qingmei Tan, Yiwei Li
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引用次数: 0
Abstract
With the rise of short video platforms, marketers are increasingly leveraging these channels for product promotion. Generative AI technology has accelerated ad production, particularly through the use of AI-generated voices. However, the comparative effectiveness of AI versus human voiceover in influencing marketing outcomes remains underexplored, with extent research offering limited guidance for practical advertising production and insufficiently addressing the infringement issues arising from the use of AI-generated celebrity voices. This research addresses this gap through three empirical studies. An analysis of real-world TikTok data reveals that ads featuring AI-generated voice elicit lower levels of consumer engagement compared to those utilizing human voices. Notably, the negative impact of AI-generated voice is mitigated when a lower pitch is employed. In an experimental setting, we further compare the impact of human voice, AI-generated voice, and AI-generated celebrity voice on consumer engagement. The results indicate that AI-generated celebrity voice yield engagement levels comparable to those of human voices. These findings deepen our understanding of how generative AI technology influences consumer responses, highlight the critical role of pitch in enhancing the effectiveness of AI-generated voice. This study also offers practical insights for optimizing short video advertisements through the strategic use of AI-generated voice technology.
期刊介绍:
The International Journal of Information Management (IJIM) is a distinguished, international, and peer-reviewed journal dedicated to providing its readers with top-notch analysis and discussions within the evolving field of information management. Key features of the journal include:
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