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Using Ambient Geographic Information (AGI) in Order to Understand Emotion & Stress within Smart Cities
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Since one of the main ambitions of a smart city is to improve urban functions and provided services, it is often perceived as a living urban fabric, in which connected urban citizens, acting as active sensors, have the capacity to contribute even more efficiently to the spatial intelligence of cities. This “immaterial” dimension is related with the need that smart cities have to assess their citizen’s feelings, perception and well-being, giving rise to an emotion-aware city. Mapping emotion builds on a tradition of studies in cognitive mapping, evaluative mapping, environmental preference and environmental affect, adding an approach in which people experience, evaluate and describe their environment “in situ” through social media. This paper aims to present an Ambient Geographic Information (AGI) approach to assemble geo-tagged data from Twitter, Flickr, Instagram and Facebook related with people’s perception and feelings regarding Lisbon (Portugal), and therefore characterize its emotional dimension, by comparing these subjective observations with objective measurements (such as socio-demographic statistics, questionnaires and data retrieved from biometric sensors). With this vision of a smart city, that is capable to interpret and harnessing the emotional states of its citizens, it is essential to find new methods and techniques to sensing affect in an urban context.
Descrição
Oliveira, T. H., & Painho, M. (2015). Using Ambient Geographic Information (AGI) in Order to Understand Emotion & Stress within Smart Cities. In F. Bação, M. Y. Santos, & M. Painho (Eds.), AGILE 2015 : 18th AGILE International Conference on Geographic Information Science: Geographic Information Science as an Enabler of Smarter Cities and Communities AGILE.
Palavras-chave
Ambient geographic information (AGI) Volunteered geographic information (VGI) emotional mapping Social media emotion-aware city smart city SDG 11 - Sustainable Cities and Communities