Interaction between chatbots and humans is often based on frequently occurring interaction patterns, e.g. question – answer. Those patterns usually describe a very brief phase in the interaction. In this micro project, we investigated whether we can design a chatbot for behavior change by including higher level patterns, which are adapted from the taxonomy of behavior change techniques (BCT’s). These patterns should describe the components of the interaction during a longer period of time. In addition, we investigated how to design a user interface in such a way that it sustains the interest of the users.

We focused on reducing sedentary behavior, and especially sitting behavior, which can have negative health consequences.