Prior research into automated dental procedures has largely focused on design and engineering issues; however, there is very little research that investigates the public’s perceptions of, or their willingness to undergo, robotic dentistry. Therefore, the purpose of the current study is to better understand the characteristics of a person who would be willing to undergo robotic dental cleanings by building a predictive model. Using a correlational research design with regression, two stages were utilized to complete the study. Through two stages of research, 475 participants were recruited via an online database. Stage one evaluated several statistical factors on user willingness to create a predictive regression model. Stage two employed a secondary sample to validate the predictive model created in stage one by testing the regression equation for model fit. This predictive model accounted for approximately 82% of the variance in willingness to use dental robots for cleanings. The significant predictors were feelings of fear, feelings of happiness, complexity, useful factor, fun factor, fear of dental visits, and age respectively. These results are useful for the design and marketing of dental robots.

先前对自动牙科程序的研究主要集中在设计和工程问题上。但是，很少有研究调查公众对机器人牙科的看法或接受牙科牙医的意愿。因此，本研究的目的是通过建立预测模型来更好地了解愿意进行机器人牙齿清洁的人的特征。使用具有回归的相关研究设计，利用了两个阶段来完成研究。通过两个研究阶段，通过在线数据库招募了475名参与者。第一阶段评估了关于用户愿意创建预测回归模型的几个统计因素。第二阶段通过测试回归方程的模型拟合，使用二次样本来验证在第一阶段创建的预测模型。这种预测模型约占使用牙科机器人进行清洁的意愿差异的82％。显着的预测因素分别是恐惧感，幸福感，复杂性，有用因素，娱乐因素，对牙齿拜访的恐惧和年龄。这些结果对于牙科机器人的设计和营销很有用。