Age and gender factors in user acceptance of healthcare robots

Abstract

Human-robot interaction (HRI) and user acceptance become critical when service robots start to provide a variety of assistance to users on a personal level. Limited research to date has studied the influence of users' attributes (such as age and gender) on the acceptance of service robots and the implications for HRI design. This paper describes the development of a social interactive healthcare robot named Charles, capable of measuring blood pressure. Using blood pressure monitoring as the service scenario, a user study was conducted to investigate the differences between two age groups (40 to 65 years and over 65 years) in attitudes and reactions before and after their interactions with Charles. The results showed few differences between the two age groups. A significant gender effect was found, with males having a more positive attitude toward robots in healthcare than females. This study reveals the importance of considering gender issues in the design of healthcare robots for older people. Overall, the performance of the robot was rated high, however the participants expressed desires to have more interactiveness and a better voice from the robot. According to our sample, age need not be a barrier to users' acceptance of healthcare robots.