Mobile Computing, Applications, and Services. Second International ICST Conference, MobiCASE 2010, Santa Clara, CA, USA, October 25-28, 2010, Revised Selected Papers

Research Article

Open Transaction Network: Connecting Communities of Experience through Mobile Transactions

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  • @INPROCEEDINGS{10.1007/978-3-642-29336-8_14,
        author={Kwan Lee and Dawei Shen and Andrew Lippman and Erik Ross},
        title={Open Transaction Network: Connecting Communities of Experience through Mobile Transactions},
        proceedings={Mobile Computing, Applications, and Services. Second International ICST Conference, MobiCASE 2010, Santa Clara, CA, USA, October 25-28, 2010, Revised Selected Papers},
        proceedings_a={MOBICASE},
        year={2012},
        month={10},
        keywords={open information social networks transactions mobile commerce advertising},
        doi={10.1007/978-3-642-29336-8_14}
    }
    
  • Kwan Lee
    Dawei Shen
    Andrew Lippman
    Erik Ross
    Year: 2012
    Open Transaction Network: Connecting Communities of Experience through Mobile Transactions
    MOBICASE
    Springer
    DOI: 10.1007/978-3-642-29336-8_14
Kwan Lee1,*, Dawei Shen1,*, Andrew Lippman1,*, Erik Ross2,*
  • 1: MIT Media Lab
  • 2: Bank of America
*Contact email: kwan@media.mit.edu, dawei@media.mit.edu, lip@media.mit.edu, erik.s.ross@bankofamerica.com

Abstract

In order to understand the value of social information in the context of mobile commerce, we created the Open Transaction Network (OTN), a collaborative, social transaction system. OTN uses voluntarily contributed transactions to index personal and social experiences in the physical world and to form dynamic communities around purchases. We use mobile phones and Open Spaces as portals to facilitate sharing of transactions. Through real world deployment we investigate the design elements and analyze users’ tolerance to sharing such experiences. The sociability threshold, introduced as a measure of user’s willingness to share for different categories of products, is found to correlate with price. The system was deployed to over 20 users over a 5 month period to allow the participants to share their in-store purchases. The analysis of empirical data shows that second degree connections are valuable for obtaining recommendations.