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Amplifying Quiet Voices: Challenges and Opportunities for Participatory Design at an Urban Scale

Gooch, Daniel; Barker, Matthew; Hudson, Lorraine; Kelly, Ryan; Kortuem, Gerd; van der Linden, Janet; Petre, Marian; Brown, Rebecca; Klis-Davies, Anna; Forbes, Hannah; MacKinnon, Jessica; Macpherson, Robbie and Walton, Clare (2017). Amplifying Quiet Voices: Challenges and Opportunities for Participatory Design at an Urban Scale. ACM Transactions on Computer-Human Interaction (TOCHI) (In Press).

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Many Smart City projects are beginning to consider the role of citizens. However, current methods for engaging urban populations in participatory design activities are somewhat limited. In this paper, we describe an approach taken to empower socially disadvantaged citizens, using a variety of both social and technological tools, in a smart city project. Through analysing the nature of citizens’ concerns and proposed solutions, we explore the benefits of our approach, arguing that engaging citizens can uncover hyper-local concerns that provide a foundation for finding solutions to address citizen concerns. By reflecting on our approach, we identify four key challenges to utilising participatory design at an urban scale; balancing scale with the personal, who has control of the process, who is participating and integrating citizen-led work with local authorities. By addressing these challenges, we will be able to truly engage citizens as collaborators in co-designing their city.

Item Type: Journal Item
Copyright Holders: 2017 ACM
ISSN: 1557-7325
Project Funding Details:
Funded Project NameProject IDFunding Body
MK:SMART, an integrated innovation and training programme leveraging large-scale city data to drive economic growth (Q-13-037-EM)H04HEFCE
Keywords: Participatory Design; Smart Cities; Citizen Innovation; Digital Civics
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: 51377
Depositing User: Daniel Gooch
Date Deposited: 05 Oct 2017 08:53
Last Modified: 02 Nov 2017 08:27
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