Table 4.

Summary of general health and wellbeing studies, ordered by year of publication.

Author (Year)	Study Purpose	Principal Findings	Sensors Used	Sample Size & Type	Study Length (Days)
Rabbi et al. (2015a) [55] USA	Evaluate the generation of recommendations for calorie loss from accelerometer and location data, using personalized vs. generic recommendations	Group with personalized suggestions performed better on physical activity and dietary behavior than control.	• Accelerometer • GPS	17 University students and non-students	21
Rabbi et al. (2015b) [54] USA	Evaluate the generation of recommendations for calorie loss from accelerometer and location data	Significant increase in physical activity and decrease in calorie consumption when participants received personalized recommendations.	• Accelerometer • GPS	16 University students and non-students	98
Eskes et al. (2016) [42] Netherlands	Predict sociability from smartphone data	Weak relationship between smartphone use and overall sociability assessments.	• Application usage • Bluetooth • Call logs • GPS	10 University students	11.4*
Kelly et al. (2017) [47] UK	Predict health status from accelerometer data	Prediction of health status with a mean absolute error of 11.7, using a support vector machine classifier.	• Accelerometer	171 General sample	4.8*

GPS: Global Positioning System;

^*average duration of subject participation.