From Collaborative Habituation to Everyday Togetherness: A Long-Term Study of Use of the Messaging Kettle
Ambe, Aloha May, Soro, Alessandro, Johnson, Daniel, & Brereton, Margot (2022) From Collaborative Habituation to Everyday Togetherness: A Long-Term Study of Use of the Messaging Kettle. ACM Transactions on Computer-Human Interaction, 29(1), Article number: 3 1-47.
|
Accepted Version
(PDF 3MB)
108302004. Available under License Creative Commons Attribution Non-commercial 4.0. |
Description
We present a long-term study of use of the Messaging Kettle, an Internet of Things (IOT) research prototype that augments an everyday kettle with both sensing and messaging capability and a beautiful light display in order to investigate connecting geographically distant loved ones to their family through the routine of boiling the kettle. Connection at a distance has been of sustained interest to the CHI community, and the social connection of older people is of increasing importance in recognition of ageing populations globally. However, very few novel designs in this domain have been investigated in situ or over the long term to examine whether their use sustains, and if so, how they impact communication in a relationship. The Messaging Kettle was trialled with four pairs of dispersed older mothers and adult daughters over timeframes that lasted between two months to more than two years. We observed the phenomenon of collaborative habituation wherein each party creatively made the technology work for them both through a combination of the gradual transformation of their everyday practices, arrangements, and living. Through developing these joint practices over time, participants expressed feelings of everyday togetherness that nurture their relationship at a distance. Three of the four couples continued to use the prototype for years, beyond the initial trial. We reflect on the artful integration of features of the Messaging Kettle and the way in which these features supported collaborative habituation. We also reflect on lessons and implications for the design of such relational technologies.
Impact and interest:
Citation counts are sourced monthly from Scopus and Web of Science® citation databases.
These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.
Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.
Full-text downloads:
Full-text downloads displays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.
| ID Code: | 229746 | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Item Type: | Contribution to Journal (Journal Article) | ||||||||
| Refereed: | Yes | ||||||||
| ORCID iD: |
|
||||||||
| Additional Information: | Acknowledgements: We thank the reviewers for their constructive and encouraging feedback. We thank and honour the participants—the mother-daughter pairs and the researcher-daughters’ mothers. We deeply appreciate their trust, openness and willingness to engage and their generosity of time throughout the long-term study. As researcher daughters, we also thank our mothers for inspiring us throughout life, such that we wanted to do this kind of research work. We also thank the Australian Research Council for Discovery Grant DP150104001: ‘Make and Connect: Enabling People to Connect through their Things’. | ||||||||
| Measurements or Duration: | 47 pages | ||||||||
| DOI: | 10.1145/3470973 | ||||||||
| ISSN: | 1073-0516 | ||||||||
| Pure ID: | 108302004 | ||||||||
| Divisions: | Current > Research Centres > Centre for Behavioural Economics, Society & Technology Current > Research Centres > Centre for Data Science Current > QUT Faculties and Divisions > Faculty of Business & Law Current > QUT Faculties and Divisions > Faculty of Science Current > Schools > School of Computer Science |
||||||||
| Funding Information: | This work was supported in part by the Australian Research Council for Discovery Grant DP150104001: Make and Connect: Enabling People to Connect through their Things | ||||||||
| Funding: | |||||||||
| Copyright Owner: | 2022 The Author(s) | ||||||||
| Copyright Statement: | This work is covered by copyright. Unless the document is being made available under a Creative Commons Licence, you must assume that re-use is limited to personal use and that permission from the copyright owner must be obtained for all other uses. If the document is available under a Creative Commons License (or other specified license) then refer to the Licence for details of permitted re-use. It is a condition of access that users recognise and abide by the legal requirements associated with these rights. If you believe that this work infringes copyright please provide details by email to qut.copyright@qut.edu.au | ||||||||
| Deposited On: | 14 Apr 2022 11:26 | ||||||||
| Last Modified: | 09 Jan 2026 14:31 |
Export: EndNote | Dublin Core | BibTeX
Repository Staff Only: item control page