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Product personalisation using personally meaningful data and the creation of new product attributes.pdf (830.37 kB)

Product personalisation using personally meaningful data and the creation of new product attributes

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journal contribution
posted on 2017-03-16, 11:05 authored by Cay Green, Samantha Porter, Guy Bingham
Some 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 Manufacturing

Volume

6

Issue

2/3

Pages

170 - 170

Citation

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

© Inderscience

Version

  • 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

2016-12-15

Publication date

2017-02-08

Copyright date

2017

Notes

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.2017.10003092

ISSN

1757-8817

eISSN

1757-8825

Language

  • en