Product personalisation using personally meaningful data and the creation of new product attributes.pdf (830.37 kB)
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journal contribution
posted on 2017-03-16, 11:05 authored by Cay Green, Samantha Porter, Guy BinghamSome additive manufacture processes can be used to fabricate personalised products. Commercial companies have formed that exploit this fabrication potential, creating co-design environments that allow users to personalise and customise product geometry in new ways. Work carried out at the intersection of art and design takes this a step further, exploring ways in which objects form can be transformed using complex data sets. Interactions that facilitate product personalisation (PP) using data that is meaningful to the owner could stimulate the formation of product attachment, which in turn could extend a products lifespan. However, this new PP potential could lead to the formation of new product attributes that must be mediated by both the designer and the user. This paper explores examples of product/data synthesis and uses them to propose three product attributes that could result from data-driven PP: abstractness, visibility and obtrusiveness.
History
School
- Design
Published in
International Journal of Rapid ManufacturingVolume
6Issue
2/3Pages
170 - 170Citation
GREEN, C., PORTER, C.S. and BINGHAM, G.A., 2017. Product personalisation using personally meaningful data and the creation of new product attributes. International Journal of Rapid Manufacturing, 6 (2/3), pp. 170-184.Publisher
© InderscienceVersion
- AM (Accepted Manuscript)
Publisher statement
This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/Acceptance date
2016-12-15Publication date
2017-02-08Copyright date
2017Notes
This paper was accepted for publication in the journal International Journal of Rapid Manufacturing and the definitive published version is available at http://dx.doi.org/10.1504/IJRAPIDM.2017.10003092ISSN
1757-8817eISSN
1757-8825Publisher version
Language
- en