Towards Achieving Human Flourishing – An mHealth Application and Machine Learning Approach
type: CreativeWork
description: Although human flourishing has been studied in a wide range of fields, very little research has attempted to examine contributing factors of flourishing with the help of Machine Learning techniques. Based on relevant literature, this dissertation expands domains and measures of human flourishing and utilizes Machine Learning methods to find significant factors of flourishing, then develops a mobile application to help promote six important factors (positive mode, gratitude, contented minded, health, companionship and creativity) of flourishing. This dissertation empirically tests the effectiveness and utility of the FLOURISHING app. Data collected from 1615 survey participants revealed that a significant proportion of Americans did see their state of flourishing, life satisfaction and overall well-being through a more positive lens during the COVID-19 pandemic. The research reveals that financial stability, employment, positive mood, happiness, quality of life, fulfillment, contented mind, work satisfaction, health, gratitude, honoring commitments, companionship, creativity, friendship, religion, willingness to face challenges are key contributing components of human flourishing. A FLOURISHING app was developed to enhance flourishing. The effects of the app on flourishing was examined using a controlled effectiveness trial. 40 participants were recruited and were assigned into two groups, either received the intervention (using FLOURISHING app for 30 days) or served as a control (using a memory app, Lumosity, for 30 days). Participants completed assessments surveys prior to and again 30 days later. Results showed that there was a statistically significant increase in flourishing scores in the group of participants who used the newly developed FLOURISHING app. Therefore, the flourishing app did help promote several critical aspects of human flourishing and the effectiveness was proven. The utility of this app was measured by MARS (Mobile APP Rating Scale) Survey, whi…
abstract: Although human flourishing has been studied in a wide range of fields, very little research has attempted to examine contributing factors of flourishing with the help of Machine Learning techniques. Based on relevant literature, this dissertation expands domains and measures of human flourishing and utilizes Machine Learning methods to find significant factors of flourishing, then develops a mobile application to help promote six important factors (positive mode, gratitude, contented minded, health, companionship and creativity) of flourishing. This dissertation empirically tests the effectiveness and utility of the FLOURISHING app. Data collected from 1615 survey participants revealed that a significant proportion of Americans did see their state of flourishing, life satisfaction and overall well-being through a more positive lens during the COVID-19 pandemic. The research reveals that financial stability, employment, positive mood, happiness, quality of life, fulfillment, contented mind, work satisfaction, health, gratitude, honoring commitments, companionship, creativity, friendship, religion, willingness to face challenges are key contributing components of human flourishing. A FLOURISHING app was developed to enhance flourishing. The effects of the app on flourishing was examined using a controlled effectiveness trial. 40 participants were recruited and were assigned into two groups, either received the intervention (using FLOURISHING app for 30 days) or served as a control (using a memory app, Lumosity, for 30 days). Participants completed assessments surveys prior to and again 30 days later. Results showed that there was a statistically significant increase in flourishing scores in the group of participants who used the newly developed FLOURISHING app. Therefore, the flourishing app did help promote several critical aspects of human flourishing and the effectiveness was proven. The utility of this app was measured by MARS (Mobile APP Rating Scale) Survey, whi…
author: Fu, Yubo
keywords: Data Science, Design Science, Human Flourishing, Machine Learning
date published: 2022-01-01T08:00:00Z
date modified: 2026-07-24T01:40:15Z
provider: Claremont Graduate University
publisher: Networked Digital Library of Theses and Dissertations
type: WebPage
source organization: Claremont Graduate University