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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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          Comparison of Spearman’s rho and Kendall’s tau in normal and contaminated normal models

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            Objective Confirmation of Subjective Measures of Human Well-Being: Evidence from the US A. Science

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              Normality Test for Statistical Analysis, A Guide for Non-Satisticians

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                Author and article information

                Contributors
                Conference
                July 2018
                July 2018
                : 1-5
                Affiliations
                Ulster University Shore Road, Newtownabbey Co.Antrim, UK. BT370QB
                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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