Smart adaptive goal setting for effective behavior change techniques
|has title::Smart Adaptive Goal Setting as a more effective Behaviour Change Technique|
|Master:||project within::Cognitive Science|
|Student name:||student name::Bart Aulbers|
|Start||start date:=1 February 2017|
|End||end date:=12 April 2018|
|Supervisor:||Aart van Halteren|
|Second supervisor:||Joyca Lacroix (Philips)|
|Second reader:||has second reader::Michel Klein|
A high Physical Activity (PA) level is associated with multiple health benefits and improves the overall mental and physical wellbeing of people. Nevertheless, a vast majority of people currently show an insufficient level of PA, due to an absence of motivation or goal to improve behavior. Previous behavior change studies provided a sound proof that the goal-setting theory is an effective measure to improve PA levels.
This research will provide insight in the question: What is the effect of an adaptive goal setting on physical activity levels opposed to static goal setting? Using the components motivation, opportunity and capability of the Behavior Change Wheel (Michie, Atkins & West, 2011) as predictors, the regression model will predict a daily PA goal (steps/day). By adding a difficulty factor to the model, which is optimized using a naive Bayes classifier. The factor will explore the physical capabilities of the users by increasing the daily goal to improve the PA.
The results of the experiment suggest that there is evidence for an effective model based on daily varying components. The mixed model approach provides a strong indication that the COM model, presented by Michie et al. (2011), can be used to explain the daily behaviour of individuals and can be used as a sound basis for adaptive goal setting.