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Article . 2015
Full-Text: https://nrl.northumbria.ac.uk/id/eprint/34731/1/SupportingSustainableFoodShopping_R1.pdf
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Article . 2015 . Peer-reviewed
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Supporting Sustainable Food Shopping

descriptionPublicationkeyboard_double_arrow_right Article 01 Oct 2015 United Kingdom Publisher:Institute of Electrical and Electronics Engineers (IEEE)Journal:IEEE Pervasive Computing, volume 14, pages 28-36 (issn: 1536-1268, Copyright policy )
Authors: Adrian K. Clear; Adrian Friday; Mark Rouncefield; Alan Chamberlain;

doi: 10.1109/mprv.2015.78

Supporting Sustainable Food Shopping

Abstract

Food contributes a surprisingly large portion of personal greenhouse gas (GHG) emissions. Could pervasive technologies help influence diet choices to reduce this? The authors offer insights for designers of pervasive technologies addressing food and the GHG impacts of diet.

Country
United Kingdom
Related Organizations
Keywords

330, G400, D600

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 17
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
17
Top 10%
Top 10%
Top 10%
Green
bronze
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