Connected Consumption: The hidden networks of consumption
Author(s)Reed, David P.; Lippman, Andrew B.; Shen, Dawei; Lee, Kwan Hong; Schumacher, Hans D.
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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.
DepartmentMassachusetts Institute of Technology. Media Laboratory; Program in Media Arts and Sciences (Massachusetts Institute of Technology)
6th IEEE Consumer Communications and Networking Conference, 2009. CCNC 2009
Institute of Electrical and Electronics Engineers
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.
Final published version
INSPEC Accession Number: 10478966