Using ICTs for the improvement of public open spaces: the opportunity offered by cyberParks digital tools

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osaba_using_2019.pdf (3.37 MB)
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2019
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Springer Verlag
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In the last decade, the potential of mobile devices for augmenting outdoor experience opened up new solutions, whose value is twofold. On one hand, users can experience new forms of interaction with space. On the other, stakeholders can have access to the so-called User Generated Data, that is different types of information related to public spaces that could be used to improve their conception of space. In line with this, several digital tools have been developed and tested within the framework of CyberParks COST Action TU-1306 with the intention of exploring how information and communication technologies (ICTs) can contribute to the improvement of Public Open Spaces (POS). In this way, this chapter aims to study the relationship between ICTs and POS, focused on the opportunities offered by three different digital tools: the WAY-CyberParks, the EthnoAlly, and the CyberCardeto. The main advantages of using these digital tools are: (1) the real-time data gathering, (2) maintaining an updated database, (3) collecting traces of different activities and users’ groups “at the same time and space”, and (4) recording their opinion and preferences, via text, video, sound or pictures. Furthermore, the chapter attempts to analyse distinct types of results produced by their use, based on different study cases where the digital tool has been tested. The data obtained in these places serve to demonstrate the features and type of data gathered. With these case studies, the chapter attempts to highlight the main potential of each platform as related to different stakeholders and users.
Palabras clave
CyberCardeto
Digital tools
Ethnoally
Interacting with users
WAY-CyberParks
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Osaba, E., Pierdicca, R., Duarte, T., Bahillo, A., & Mateus, D. (2019). Using ICTs for the improvement of public open spaces: the opportunity offered by cyberParks digital tools. En Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Vol. 11380 LNCS (pp. 278-293). Springer Verlag. https://doi.org/10.1007/978-3-030-13417-4_22
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https://hdl.handle.net/20.500.14454/3902
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