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      On Exploring a Pervasive Infrastructure to Foster Citizens Participation and Sustainable Development

      , ,

      Proceedings of the 32nd International BCS Human Computer Interaction Conference (HCI)

      Human Computer Interaction Conference

      4 - 6 July 2018

      Citizens participation, user-driven innovation, sensing, pervasive infrastructure, smart urban environment

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          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          This paper presents an experimental study where we engaged citizens in a user-driven innovation process to design smart services, exploiting data collected by a low-cost pervasive sensing infrastructure, called Beanstalk. Such as infrastructure has been developed with the final goal to deliver data back to local communities which are empowered to act and leverage the collected hyperlocal information. In doing that, we organized different user-driven innovation sessions aimed to capture communities’ ideas and desires, with the intent to develop human centred and transparent intelligent urban environments. The preliminary results show the interest of citizens in being informed about the phenomena revealed by the gathered data and in acting toward a sustainable development, through the creation of smart services.

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          Most cited references 21

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          Tracking Human Mobility Using WiFi Signals

          We study six months of human mobility data, including WiFi and GPS traces recorded with high temporal resolution, and find that time series of WiFi scans contain a strong latent location signal. In fact, due to inherent stability and low entropy of human mobility, it is possible to assign location to WiFi access points based on a very small number of GPS samples and then use these access points as location beacons. Using just one GPS observation per day per person allows us to estimate the location of, and subsequently use, WiFi access points to account for 80% of mobility across a population. These results reveal a great opportunity for using ubiquitous WiFi routers for high-resolution outdoor positioning, but also significant privacy implications of such side-channel location tracking.
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            Decentering the Human in the Design of Collaborative Cities

             Laura Forlano (2016)
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              Linking wireless devices using information contained in Wi-Fi probe requests

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                Author and article information

                Contributors
                Conference
                July 2018
                July 2018
                : 1-5
                Affiliations
                Madeira-ITI

                ARDITI

                Funchal, Portugal
                Madeira-ITI

                U. da Madeira

                Funchal, Portugal
                Madeira-ITI

                Tecnico - U. of Lisbon

                Lisbon, Portugal
                Article
                10.14236/ewic/HCI2018.223
                © Prandi 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: 1477-9358BCS Learning & Development
                Self URI (journal page): https://ewic.bcs.org/
                Categories
                Electronic Workshops in Computing

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