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UW-Pesa: A Mobile Money User Experience Experimentation Platform

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Published:18 November 2016Publication History

ABSTRACT

This paper presents UW-Pesa, a simple web based mobile money sandbox for fast prototyping and demonstration of financial service products. The purpose of UW-Pesa is to enable academic groups to explore issues of privacy, security, and usability within the rapidly growing space of Digital Financial Services for Development and especially mobile money services. Although financial services are an important sector within the broader field of mobile for development, innovating and understanding core concepts within these services is difficult because the ecosystem is complex and dominated by a few mobile operators. Most large scale mobile financial services rely on either SIM Toolkit or USSD based user interfaces with an assortment of smaller scale services introducing Android based mobile money applications. UW-Pesa aims to create a simplified testbed so that smaller projects can quickly prototype ideas without involving large mobile operators. Currently the major components of UW-Pesa are a web interface, transaction API, and a USSD implementation.

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  • Published in

    cover image ACM Other conferences
    ACM DEV '16: Proceedings of the 7th Annual Symposium on Computing for Development
    November 2016
    265 pages
    ISBN:9781450346498
    DOI:10.1145/3001913

    Copyright © 2016 Owner/Author

    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 18 November 2016

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    • poster
    • Research
    • Refereed limited

    Acceptance Rates

    Overall Acceptance Rate52of164submissions,32%

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