The widespread acceptance of healthcare robot at home is hindered by a lack of clarity regarding optimal design features, particularly among users with varying levels of knowledge and attitudes towards this emerging technology. To address this, this study applies the Kano model to systematically identify and prioritize the features of healthcare robots, factoring in older adults diverse robot-related knowledge and attitudes towards robots.
