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Too Sensitive to Share?: Working with Consumers' Credit Card Transactions

Published: 20 April 2018 Publication History

Abstract

Simply by paying with credit cards, consumers spend more than they would with cash due a difference in payment transparency. We introduced a mobile application to test the efficacy of personalized feedback interventions to help people save money by lowering credit card expenses, and ultimately, to guide them towards a more responsibly use of digital forms of payment. For our large-scale field study (N>1'000 individuals), we cooperated with a credit card issuer to be able to test the effectiveness of our mobile-mediated interventions on real-world credit card transactions over a period of three months. This paper summarizes the main challenges we encountered, and the taken measures that enabled us to leverage highly sensitive data for research, which serve as guidelines for future industry-facing field studies.

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  1. Too Sensitive to Share?: Working with Consumers' Credit Card Transactions

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    cover image ACM Conferences
    CHI EA '18: Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems
    April 2018
    3155 pages
    ISBN:9781450356213
    DOI:10.1145/3170427
    Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Published: 20 April 2018

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    Author Tags

    1. credit card transaction salience
    2. field study
    3. financial literacy
    4. industry research
    5. sensitive data

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    CHI EA '18 Paper Acceptance Rate 1,208 of 3,955 submissions, 31%;
    Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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