345
Views
4
CrossRef citations to date
0
Altmetric
Original Articles

Disentangling participation through time and interaction spaces–the case of IT design for energy demand management

ORCID Icon, , &
Pages 45-59 | Received 15 Dec 2016, Accepted 28 Nov 2017, Published online: 21 Dec 2017
 

Abstract

Participatory Design has recently seen growing interest in developing critical forms of reflexivity able to disentangle the complexity of participatory ensembles. This article makes a methodological contribution to this endeavour. Drawing on socio-cognitive analyses of collaborative design, it proposes the frame of ‘interaction spaces’ as a scaffolding tool for conducting retrospective analyses of participatory design processes. The paper uses the ‘interaction spaces’ frame to analyse the three years of collaborative activities of the CIVIS Project. Through a longitudinal and multi-dimensional account of participatory dynamics involved in the designing, prototyping and testing of an IT platform for home energy management, the frame evidences how participatory configurations evolve over time; it makes clearer the characteristics of participation as partial and overtaken; and it identifies moments of cross-participation as potential basis for the boundary-spanning of design issues.

Acknowledgements

The authors would also like to thank all the anonymous reviewers for their valuable comments.

Notes

1. For a technical overview of the platform architecture and platform design see Huang et al. (Citation2017)

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 212.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.