Ting (Tina) Li , Zhongyuan Zhou , Xianfeng Zhang , Yang Zhou , Si Wen
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引用次数: 0
Abstract
Today, a new form of live-streaming has emerged: virtual streamers powered by Artificial Intelligence technology, which autonomously perform live-streaming tasks as human streamers do. This form of live-streaming has quickly gained popularity. However, studies in this area are scarce. This study aims to fill this research gap by investigating how virtual AI streamers impact viewers by adopting the image-inspiration-behavior framework, in which the image of virtual AI streamers is described by warmth, competence, and coolness, and behavior is studied as interaction and purchase intentions. The data were collected from 559 participants via a scenario-based survey. The partial least squares – structural equation modeling and artificial neural network are used to analyze the data. It was found that the three image dimensions (warmth, competence, and coolness) influence consumer interaction and purchase intentions through the mediating effect of inspiration. The findings of this study advance previous studies mainly by investigating how virtual AI streamers impact viewer behaviors and offer insights to live-streaming companies in their adoption of virtual AI streamers.
期刊介绍:
Entertainment Computing publishes original, peer-reviewed research articles and serves as a forum for stimulating and disseminating innovative research ideas, emerging technologies, empirical investigations, state-of-the-art methods and tools in all aspects of digital entertainment, new media, entertainment computing, gaming, robotics, toys and applications among researchers, engineers, social scientists, artists and practitioners. Theoretical, technical, empirical, survey articles and case studies are all appropriate to the journal.