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Towards a DataPlace: mapping data in a game to encourage participatory design in smart cities

Barker, Matthew; Wolff, Annika and van der Linden, Janet (2016). Towards a DataPlace: mapping data in a game to encourage participatory design in smart cities. In: NordiCHI, 23-27 Oct 20106, Gothenburg, Sweden.

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Abstract

The smart city has been envisioned as a place where citizens can participate in city decision making and in the design of city services. As a key part of this vision, pervasive digital technology and open data legislation are being framed as vehicles for citizens to access rich data about their city. It has become apparent though, that simply providing access to these resources does not automatically lead to the development of data-driven applications. If we are going to engage more of the citizenry in smart city design and raise productivity, we are going to need to make the data itself more accessible, engaging and intelligible for non-experts. This ongoing study is exploring one method for doing so. As part of the MK:Smart City project team, we are developing a tangible data look-up interface that acts as an alternative to the conventional DataBase. This interface, or DataPlace as we are calling it, takes the form of a map, which the user places sensors on to physically capture real-time data. This is a simulation of the physical act of capturing data in the real world. We discuss the design of the DataPlace prototype under development and the planned user trials to test out our hypothesis; that a DataPlace can make handling data more accessible, intelligible and engaging for non-experts than conventional interface types.

Item Type: Conference or Workshop Item
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Interdisciplinary Research Centre: Centre for Research in Computing (CRC)
Item ID: 47327
Depositing User: Matthew Barker
Date Deposited: 23 Sep 2016 08:53
Last Modified: 29 Nov 2016 22:44
URI: http://oro.open.ac.uk/id/eprint/47327
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