The purpose of the current study was to understand how to effectively manage perceived risks in the context of robotic restaurants. In order to test the research model, which included 11 hypotheses, this study collected 419 samples in South Korea. The results of the PCA showed that there were five types of perceived risks. In addition, all five perceived risks had negative impacts on attitude, which positively affected intentions to use, word-of-mouth intentions, and willingness to pay more. Lastly, product involvement played an important moderating role in the relationship between attitude and willingness to pay more.