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Measuring and Visualising Global Happiness

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Proceedings of the 32nd International BCS Human Computer Interaction Conference (HCI)

Human Computer Interaction Conference

4 - 6 July 2018

Happiness, Well-Being, Visualisation

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      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.

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            Author and article information

            Affiliations
            Ulster University Shore Road, Newtownabbey Co.Antrim, UK. BT370QB
            Contributors
            Conference
            July 2018
            July 2018
            : 1-5
            10.14236/ewic/HCI2018.210
            © Marshall et al. Published by BCS Learning and Development Ltd.Proceedings of British HCI 2018. Belfast, UK.

            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/

            Proceedings of the 32nd International BCS Human Computer Interaction Conference
            HCI
            32
            Belfast, UK
            4 - 6 July 2018
            Electronic Workshops in Computing (eWiC)
            Human Computer Interaction Conference
            Product
            Product Information: 1477-9358 BCS Learning & Development
            Self URI (journal page): https://ewic.bcs.org/
            Categories
            Electronic Workshops in Computing

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