Biblioteca Digital de VanguardiaEmotions, public space, and urban images in the context of COVID-19
During the COVID-19 pandemic, confinement and mobility restrictions gave rise to different questionsregarding the use and perceptions on public space, where the relational and contextual properties of thisspace may cause a diversity of emotions. We use machine learning and social network analysis to...
| Autores principales: | , , , , |
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| Formato: | Revistas |
| Lenguaje: | Español Inglés |
| Publicado: |
Universidad Politécnica Salesiana (Ecuador)
2022
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| Acceso en línea: | https://universitas.ups.edu.ec/index.php/universitas/article/view/36.2022.06 |
| Sumario: | During the COVID-19 pandemic, confinement and mobility restrictions gave rise to different questionsregarding the use and perceptions on public space, where the relational and contextual properties of thisspace may cause a diversity of emotions. We use machine learning and social network analysis to exploreemotions in relation to the public space, based on attributes extracted from photos of the city of Quito,Ecuador, taken between April and June 2020. Our results show that an attribute of the urban landscapecan be associated with positive and negative emotions, and that opposite attributes of the images (i.e.,glossy and dirty) can both influence positive emotions regarding public space. This research inauguratesa new field of study in Latin America regarding urban emotions, and also supports a better understandingof citizen perceptions of the public space during the pandemic crisis. |
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