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.
| Original language | English |
|---|---|
| Pages | 1-5 |
| Number of pages | 5 |
| DOIs | |
| Publication status | Accepted/In press - 7 Jun 2018 |
| Event | British HCI Conference 2018 - Belfast, Belfast, Northern Ireland Duration: 2 Jul 2018 → 6 Jul 2018 |
Conference
| Conference | British HCI Conference 2018 |
|---|---|
| Abbreviated title | BHCI2018 |
| Country/Territory | Northern Ireland |
| City | Belfast |
| Period | 2/07/18 → 6/07/18 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- happiness
- GDP
- data analytics
Fingerprint
Dive into the research topics of 'Measuring and Visualising Global Happiness'. Together they form a unique fingerprint.Student theses
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Video-based automatic detection of agitated behaviours
Marshall, F. (Author), Zhang, S. (Supervisor) & Scotney, B. (Supervisor), Sept 2022Student thesis: Doctoral Thesis
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