Design for behaviour change (BC) has the potential to motivate older\u3cbr/\u3eadults to increase their physical activity and enjoy the health benefits\u3cbr/\u3ehereof. Despite this potential, there is a lack of knowledge about how\u3cbr/\u3eto profile users, to most effectively personalize strategies, which is\u3cbr/\u3edetrimental to the overall effectiveness of these BC solutions. Thus we\u3cbr/\u3econducted a random control trial in which the effects of two BC\u3cbr/\u3estrategies, implemented in two otherwise similar mobile applications,\u3cbr/\u3eare compared. From the statistical analysis of the measured step data\u3cbr/\u3eand the collected survey data, we were able to create motivation\u3cbr/\u3eprofiles for BC by triangulating an individual’s contextual, behavioural\u3cbr/\u3eand psychological factors. Here we share an overview of our approach.\u3cbr/\u3eIn this way we aim to inform designers doing important work in the field\u3cbr/\u3eof BC toward increased physical activity
