Project Goal

This program tries to improve people's lifestyles. That is why we measure eating behavior and physical activity using sensors, we develop interventions for different levels (individual, group, society), and we evaluate the effectiveness of these interventions.
4TU Delft
4TU Eindhoven
4TU Twente
4TU Wageningen

Physical activity and diet are two key factors for a healthy lifestyle. Both are not only difficult to modify for people on the long-term difficult, they are also difficult to measure. The novelty of this program lies in combining the monitoring in real-life through sensors (food intake, physical activity and health parameters) with development of design interventions at different levels of the system (person, group, society), and evaluation of the (long-term) effectiveness of these combined interventions.

This program aims at addressing the following research questions:

  • How can sensor data, gathered at different levels in a system (at the individual, in the  household, in an environment), be combined to design more effective lifestyle interventions?
  • How can momentary measurements (e.g., activity, health parameters, thoughts, mood) be used  to dynamically adapt effective lifestyle interventions?
  • How can technology support individualized coaching processes?
  • How can we design and validate systems and services that prevent chronic illnesses?
  • How can we design interventions that bridge the personal and social sphere (such as nuclear  families) and will such interventions be more effective than those targeted at individuals?
  • How can we enrich existing survey-based field data of high-risk populations with real-life, realtime  sensor data?
  • How can we measure long-term, real-life impact by using novel approaches to longitudinal field  research?

Project Goal

Physical activity and diet are two key factors for a healthy lifestyle. Both are not only difficult to modify for people on the long-term difficult, they are also difficult to measure. The novelty of this program lies in combining the monitoring in real-life through sensors (food intake, physical activity and health parameters) with development of design interventions at different levels of the system (person, group, society), and evaluation of the (long-term) effectiveness of these combined interventions.

This program aims at addressing the following research questions:

  • How can sensor data, gathered at different levels in a system (at the individual, in the  household, in an environment), be combined to design more effective lifestyle interventions?
  • How can momentary measurements (e.g., activity, health parameters, thoughts, mood) be used  to dynamically adapt effective lifestyle interventions?
  • How can technology support individualized coaching processes?
  • How can we design and validate systems and services that prevent chronic illnesses?
  • How can we design interventions that bridge the personal and social sphere (such as nuclear  families) and will such interventions be more effective than those targeted at individuals?
  • How can we enrich existing survey-based field data of high-risk populations with real-life, realtime  sensor data?
  • How can we measure long-term, real-life impact by using novel approaches to longitudinal field  research?