A Technology Acceptance Model for Lifestyle Changes


Interest in developing user-centered tools for personalized behavior change has gained significant momentum in the HCI community. However, very little research work has been done to understand issues relative to user readiness and adoption of the digital technology to change their behaviors. We have developed a model to understand and explain the relationship between user habits, perceived healthiness and beliefs towards technology, and how these factors influence user readiness to use technology to manage their wellness.  We then validate the model using psychometric methods by an online user study (N = 541). Results show users’ overall acceptance to such technology is positively influenced by their acceptance to monitor health conditions, share data within social networks, and receive health related recommendations with different weights. Additionally, users’ perceptions of healthiness, technology satisfaction and usefulness of such technology impact their acceptance to the above three functions differently. The results of the study also shed light on the design of future technologies for behavior change. 


Behavior change, preventative health, adoption and acceptance, monitoring and reflection, sharing, recommendations




Yu Chen, Danni Le, Zerrin Yumak and Pearl Pu


Swiss National Science Foundation