Connected Consumption: The hidden networks of consumption

In this paper, we present the Connected Consumption Network (CCN) that allows a community of consumers to collaboratively sense the market from a mobile device, enabling more informed financial decisions in geo-local context. The mobile application allows one to log one's wish list and itemized...

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Main Authors: Reed, David P., Lippman, Andrew B., Shen, Dawei, Lee, Kwan Hong, Schumacher, Hans D.
Other Authors: Massachusetts Institute of Technology. Media Laboratory
Format: Article
Language:en_US
Published: Institute of Electrical and Electronics Engineers 2010
Online Access:http://hdl.handle.net/1721.1/59824
https://orcid.org/0000-0003-2541-2266
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author Reed, David P.
Lippman, Andrew B.
Shen, Dawei
Lee, Kwan Hong
Schumacher, Hans D.
author2 Massachusetts Institute of Technology. Media Laboratory
author_facet Massachusetts Institute of Technology. Media Laboratory
Reed, David P.
Lippman, Andrew B.
Shen, Dawei
Lee, Kwan Hong
Schumacher, Hans D.
author_sort Reed, David P.
collection MIT
description In this paper, we present the Connected Consumption Network (CCN) that allows a community of consumers to collaboratively sense the market from a mobile device, enabling more informed financial decisions in geo-local context. The mobile application allows one to log one's wish list and itemized list of transactions to form a social network around the list of interests. Individuals can share this data to inform and guide others in a timely, personal and contextual manner when they are shopping for a product or seeking a service. It can also help people connect opportunistically in a local area to make group purchases, to pick up an item for a friend, and to perform reverse auctions. We present the design, architecture and concept prototype. We simulate a social network with three months of existing credit/debit card transaction data in various geographical areas to analyze the mutual information and recommendations that can be shared among networked consumers.
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spelling mit-1721.1/598242022-10-02T08:02:42Z Connected Consumption: The hidden networks of consumption Reed, David P. Lippman, Andrew B. Shen, Dawei Lee, Kwan Hong Schumacher, Hans D. Massachusetts Institute of Technology. Media Laboratory Program in Media Arts and Sciences (Massachusetts Institute of Technology) Reed, David P. Reed, David P. Lippman, Andrew B. Shen, Dawei Lee, Kwan Hong In this paper, we present the Connected Consumption Network (CCN) that allows a community of consumers to collaboratively sense the market from a mobile device, enabling more informed financial decisions in geo-local context. The mobile application allows one to log one's wish list and itemized list of transactions to form a social network around the list of interests. Individuals can share this data to inform and guide others in a timely, personal and contextual manner when they are shopping for a product or seeking a service. It can also help people connect opportunistically in a local area to make group purchases, to pick up an item for a friend, and to perform reverse auctions. We present the design, architecture and concept prototype. We simulate a social network with three months of existing credit/debit card transaction data in various geographical areas to analyze the mutual information and recommendations that can be shared among networked consumers. Massachusetts Institute of Technology. Center for Future Banking 2010-11-05T16:27:42Z 2010-11-05T16:27:42Z 2009-02 2009-01 Article http://purl.org/eprint/type/JournalArticle 978-1-4244-2308-8 INSPEC Accession Number: 10478966 http://hdl.handle.net/1721.1/59824 Kwan Hong Lee et al. “Connected Consumption: The Hidden Networks of Consumption.” Consumer Communications and Networking Conference, 2009. CCNC 2009. 6th IEEE. 2009. 1-5. © 2009Institute of Electrical and Electronics Engineers. https://orcid.org/0000-0003-2541-2266 en_US http://dx.doi.org/10.1109/CCNC.2009.4784721 6th IEEE Consumer Communications and Networking Conference, 2009. CCNC 2009 Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf Institute of Electrical and Electronics Engineers IEEE
spellingShingle Reed, David P.
Lippman, Andrew B.
Shen, Dawei
Lee, Kwan Hong
Schumacher, Hans D.
Connected Consumption: The hidden networks of consumption
title Connected Consumption: The hidden networks of consumption
title_full Connected Consumption: The hidden networks of consumption
title_fullStr Connected Consumption: The hidden networks of consumption
title_full_unstemmed Connected Consumption: The hidden networks of consumption
title_short Connected Consumption: The hidden networks of consumption
title_sort connected consumption the hidden networks of consumption
url http://hdl.handle.net/1721.1/59824
https://orcid.org/0000-0003-2541-2266
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