Measuring and Visualising Global Happiness

Abstract

Happiness scores from the World Happiness Reports have been examined alongside data from the World Health Organisation and the World Bank to show that happiness is an effective measure of well-being. There is a strong correlation between happiness and GDP and other factors such as years of schooling and life expectancy. Using data from the World Health Organisation and World Bank, the happiness of a nation can be predicted with a RMSE of 0.3. Perhaps, predicting the happiness of a community, nation or industry can help inform interactive digital interventions for happiness building. Possible, such measures could also feature as predictors in affective computing contexts or indeed via social media.

Contributors

Fiona Marshall

Raymond Bond

Shuai Zhang

Conference

Publication date: July 2018

Publication date (Print): July 2018

Pages: 1-5

Affiliations

Ulster University Shore Road, Newtownabbey Co.Antrim, UK. BT370QB

DOI: 10.14236/ewic/HCI2018.210

Copyright statement: © Marshall et al. Published by BCS Learning and Development Ltd.Proceedings of British HCI 2018. Belfast, UK.

License:

This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

Conference name: Proceedings of the 32nd International BCS Human Computer Interaction Conference

Conference acronym: HCI

Conference number: 32

Conference location: Belfast, UK

Conference date: 4 - 6 July 2018

Conference sponsor: Electronic Workshops in Computing (eWiC)

Conference theme: Human Computer Interaction Conference

Product

Product Information: 1477-9358 BCS Learning & Development

Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/HCI2018.210

Self URI (journal page): https://ewic.bcs.org/

Categories

Series title: Electronic Workshops in Computing