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A model for user acceptance of robot journalism: Influence of positive disconfirmation and uncertainty avoidance

机译：用于机器人新闻的用户接受模型：积极崩溃的影响和不确定性避免

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摘要

This study explored factors affecting acceptance of news articles written by robot journalists. Until now, there has been little discussion about robot journalism in the perspective of user behavior, especially in terms of psychological and cultural factors influencing users' intention to continue or discontinue consumption of news articles produced by robot journalists. According to the results of this study, perceived quality and positive disconfirmation on news by robot journalists raised satisfaction, which led to an increase in intention to accept robot journalism. Also, the role of prior expectation and uncertainty avoidance were explored. The lower the prior expectation, the stronger the effect of positive disconfirmation on satisfaction, and the higher uncertainty avoidance, the weaker the effect of satisfaction on intention to accept news by robot journalists.
机译：本研究探索了影响机器人记者撰写的新闻文章的接受因素。到目前为止，在用户行为的角度，关于机器人新闻的讨论很少，特别是在影响用户继续或停止消费机器人记者制作的新闻文章的心理和文化因素方面的讨论。根据这项研究的结果，通过机器人记者提出满意的新闻的质量和积极的崩溃，这导致了接受机器人新闻的意图增加。此外，探讨了先前期望和不确定性避免的作用。先前期望越低，积极击败对满意度的效果越强，而且不确定性避免较高，对机器人记者接受新闻的意图越来越越大。

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