Unpacking the resource impacts of digitally-mediated domestic practices using resource trace interviewing. Issue 3 (3rd July 2022)
- Record Type:
- Journal Article
- Title:
- Unpacking the resource impacts of digitally-mediated domestic practices using resource trace interviewing. Issue 3 (3rd July 2022)
- Main Title:
- Unpacking the resource impacts of digitally-mediated domestic practices using resource trace interviewing
- Authors:
- Friday, Adrian
Hazas, Mike
Bates, Oliver
Morley, Janine
Lord, Carolynne
Widdicks, Kelly
Gormally-Sutton, Alexandra
Clear, Adrian - Abstract:
- ABSTRACT: The home has been the subject of investigation in the social sciences and interaction design communities for decades. This has been driven not least by a wish to understand technology, energy demand, and how it might be understood in terms of social practices. In this paper, we reflect on several studies that have sought to capture this relationship. We introduce an evolving methodological approach we term 'Resource Trace Interviewing' that extends interview practice using visualizations of fine-grained quantitative data from sensors and software deployed in the home. By facilitating fuller accounts and joint sense-making between participants and researchers, this method better reveals the patterns of technology and energy use in the digitally connected home, and how this in turn relates to domestic practices. We reflect, for the first time, on the strengths and limitations of this approach as a guide to others studying similar socio-technical settings.
- Is Part Of:
- Digital creativity. Volume 33:Issue 3(2022)
- Journal:
- Digital creativity
- Issue:
- Volume 33:Issue 3(2022)
- Issue Display:
- Volume 33, Issue 3 (2022)
- Year:
- 2022
- Volume:
- 33
- Issue:
- 3
- Issue Sort Value:
- 2022-0033-0003-0000
- Page Start:
- 250
- Page End:
- 275
- Publication Date:
- 2022-07-03
- Subjects:
- Mixed-methods -- sustainability -- energy demand -- ICT -- domestic practice
Computer-aided design -- Periodicals
Computer-assisted instruction -- Periodicals
Artificial intelligence -- Periodicals
620.00420285 - Journal URLs:
- http://www.tandfonline.com/toc/ndcr20/current ↗
http://www.tandfonline.com/ ↗ - DOI:
- 10.1080/14626268.2022.2127773 ↗
- Languages:
- English
- ISSNs:
- 1462-6268
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3588.395200
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 24593.xml