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Category: Project

Description: The purpose of this proposed project is to validate remote mobile phone sensing with various measures of reconstructive wellbeing in a low-income setting. Today, mobile phones are ubiquitous and have a large complement of sensors (including GPS, accelerometers, ambient light, sound, and phone usage) that can be used to extract human behavior patterns and assess daily experiential wellbeing. This project aims to correlate this objectively measured activity with subjective wellbeing, with the ultimate goal of identifying behavioral antecedents to changes in subjective wellbeing such that one could provide a “just-in-time” intervention to mitigate the deleterious effects of adverse changes to life situations such as the onset of depression or other chronic disease. This project seeks to answer two research questions: First, is there a correlation between objectively measured phone sensing data and experiential wellbeing measured using the DRM and EMA methodologies? Second, can mobile phone sensing data predict depressive symptoms amongst low-income populations in Kenya?