The home healthcare initiative aims to reduce healthcare cost, improve post-hospitalization healthcare quality and increase patient independency. Information technologies such as home healthcare robots are expected to play a major role in this effort. There have been some preliminary findings on the socio-technical determinants of robot adoption in home healthcare. However, there is a lack of understanding of other factors that moderate the effects of these determinants. To this end, this research aims to investigate demographic characteristics as possible moderators for robot adoption based on the UTAUT model. By analyzing the data collected from a survey, this study empirically demonstrates the moderating effects of gender, age and experiences on the adoption of home healthcare robots. In addition, the findings of this research lead to the development of a decision tree that can guide a cost- effective robot design. The paper concludes with the theoretical and practical implications of this research.