Encoding materials and data for iterative personalization

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

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Data is changing how we design consumer products. Shoe production is a prime example of this; foot size, footstep pressure and personal preferences can be used to design personalized shoes. Research done around metamaterials, programming materials and computational composites illustrate the possibilities of creating complex data & material relationships. These new relationships allow us to look at future products almost like software apps, becoming a kind of product service systems, where the focus is on its iterative personalized improvement over time. Can we create systems of such data driven objects that in turn allow us to design new objects that are informed by the data trail? In this paper we report on four RtD project iterations that explore this challenge and provide a set of insights on how to close this new iterative loop.

Originele taal-2Engels
TitelCHI 2019 - Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
Plaats van productieNew York
UitgeverijAssociation for Computing Machinery, Inc
Aantal pagina's13
ISBN van elektronische versie978-1-4503-5970-2
StatusGepubliceerd - 2 mei 2019
Evenement37th ACM International Conference on Human Factors in Computing Systems (CHI2019) - Glasgow, UK, Glasgow, Verenigd Koninkrijk
Duur: 4 mei 20199 mei 2019
Congresnummer: 37


Congres37th ACM International Conference on Human Factors in Computing Systems (CHI2019)
Verkorte titelCHI2019
LandVerenigd Koninkrijk
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