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Of Two Minds, Multiple Addresses, and One Ledger: Characterizing Opinions, Knowledge, and Perceptions of Bitcoin Across Users and Non-Users

Published:07 May 2016Publication History

ABSTRACT

Digital currencies represent a new method for exchange -- a payment method with no physical form, made real by the Internet. This new type of currency was created to ease online transactions and to provide greater convenience in making payments. However, a critical component of a monetary system is the people who use it. Acknowledging this, we present results of our interview study (N=20) with two groups of participants (users and non-users) about how they perceive the most popular digital currency, Bitcoin. Our results reveal: non-users mistakenly believe they are incapable of using Bitcoin, users are not well-versed in how the protocol functions, they have misconceptions about the privacy of transactions, and that Bitcoin satisfies properties of ideal payment systems as defined by our participants. Our results illustrate Bitcoin's tradeoffs, its uses, and barriers to entry.

References

  1. Apple Pay. 2015. Apple Pay: Your wallet without the wallet. (2015). Retrieved August 22, 2015 from http://www.apple.com/apple-pay/?cid=wwa-us-kwg-features-com.Google ScholarGoogle Scholar
  2. Roger A. Arnold. 2008. Economics (9th ed.). Cengage Learning, 273--278.Google ScholarGoogle Scholar
  3. Aaron W Baur, Julian Buhler, Markus Bick, and Charlotte S Bonorden. 2015. Cryptocurrencies as a Disruption? Empirical Findings on User Adoption and Future Potential of Bitcoin and Co. In Open and Big Data Management and Innovation. Springer, 63--80.Google ScholarGoogle Scholar
  4. Bitcointalk Forum. 2015. Bitcoin Discussion. (2015). Retrieved August 22, 2015 from https://bitcointalk.org/index.php?board=1.0.Google ScholarGoogle Scholar
  5. Blockchain. 2015a. Block Height 367500. (29 July 2015). Retrieved September 20, 2015 from https://blockchain.info/block-height/367500.Google ScholarGoogle Scholar
  6. Blockchain. 2015b. Number Of Users. (2015). Retrieved August 27, 2015 from https://blockchain.info/charts/my-wallet-n-users.Google ScholarGoogle Scholar
  7. Blockchain. 2015c. Total Coins In Circulation. (2015). Retrieved August 27, 2015 from https://blockchain.info/charts/total-bitcoins.Google ScholarGoogle Scholar
  8. Jeremiah Bohr and Masooda Bashir. 2014. Who Uses Bitcoin? An exploration of the Bitcoin community. In Privacy, Security and Trust (PST). 94--101.Google ScholarGoogle Scholar
  9. Joseph Bonneau, Andrew Miller, Jeremy Clark, Arvind Narayanan, Joshua A Kroll, and Edward W Felten. 2015. Research perspectives on bitcoin and second generation cryptocurrencies. In IEEE Symposium on Security and Privacy. IEEE.Google ScholarGoogle Scholar
  10. Joseph Bonneau, Arvind Narayanan, Andrew Miller, Jeremy Clark, Joshua A Kroll, and Edward W Felten. 2014. Mixcoin: Anonymity for Bitcoin with accountable mixes. In Financial Cryptography and Data Security. Springer, 486--504.Google ScholarGoogle Scholar
  11. John M. Carroll and Victoria Bellotti. 2015. Creating Value Together: The Emerging Design Space of Peer-to-Peer Currency and Exchange. In Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work (CSCW '15). ACM, NY, NY, USA, 1500--1510. http://doi.acm.org/10.1145/2675133.2675270 Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. Kathy Charmaz. 2014. Constructing Grounded Theory, 2nd Edition. SAGE Publications Ltd.Google ScholarGoogle Scholar
  13. David Chaum. 1983. Blind signatures for untraceable payments. In Advances in cryptology. Springer, 199--203.Google ScholarGoogle Scholar
  14. Elizabeth F. Churchill. 2015. Why Should We Care About Bitcoin interactions 22, 5 (Aug. 2015), 20--21. http://doi.acm.org/10.1145/2810199 Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. Pavel Ciaian, Miroslava Rajcaniova, and d'Artis Kancs. 2014. The Economics of BitCoin Price Formation. arXiv preprint arXiv:1405.4498 (2014).Google ScholarGoogle Scholar
  16. Coinbase. 2015. Charts. (2015). Retrieved August 27, 2015 from https://coinbase.com/charts.Google ScholarGoogle Scholar
  17. Daryl Collins, Jonathan Morduch, Stuart Rutherford, and Orlanda Ruthven. 2009. Portfolios of the poor: how the world's poor live on $2 a day. Princeton University Press.Google ScholarGoogle Scholar
  18. Craigslist. 2015. Craigslist in US. (2015). Retrieved August 22, 2015 from http://www.craigslist.org/about/sites#US.Google ScholarGoogle Scholar
  19. Michael A. Cusumano. 2014. The Bitcoin Ecosystem. Commun. ACM 57, 10 (Sept. 2014), 22--24. http://doi.acm.org/10.1145/2661047 Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. Department of Finanial Services NY. 2015. Revised BitLicense Regulatory Framework. (2015). Retrieved December 20, 2015 from http://www.dfs.ny.gov/legal/regulations/rev_bitlicense_reg_framework.htm.Google ScholarGoogle Scholar
  21. Jonathan Donier and Julius Friedrich Bonart. 2014. A million metaorder analysis of market impact on the Bitcoin. Available at SSRN (2014).Google ScholarGoogle Scholar
  22. Shayan Eskandari, David Barrera, Elizabeth Stobert, and Jeremy Clark. 2015. A First Look at the Usability of Bitcoin Key Management. In NDSS Workshop on Usable Security (USEC). http://people.inf.ethz.ch/barrerad/files/usec15-eskandari.pdfGoogle ScholarGoogle ScholarCross RefCross Ref
  23. David S Evans. 2014. Economic Aspects of Bitcoin and Other Decentralized Public-Ledger Currency Platforms. University of Chicago Coase-Sandor Institute for Law & Economics Research Paper 685 (2014).Google ScholarGoogle Scholar
  24. Ittay Eyal and Emin Gun Sirer. 2014. Majority is not enough: Bitcoin mining is vulnerable. In Financial Cryptography and Data Security. Springer, 436--454.Google ScholarGoogle Scholar
  25. Jennifer Ferreira, Mark Perry, and Sriram Subramanian. 2015. Spending Time with Money: From Shared Values to Social Connectivity. In Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work (CSCW '15). ACM, NY, NY, USA, 1222--1234. http://doi.acm.org/10.1145/2675133.2675230 Google ScholarGoogle ScholarDigital LibraryDigital Library
  26. David Garcia, Claudio J Tessone, Pavlin Mavrodiev, and Nicolas Perony. 2014. The digital traces of bubbles: feedback cycles between socio-economic signals in the Bitcoin economy. Journal of the Royal Society Interface 11, 99 (2014), 20140623.Google ScholarGoogle ScholarCross RefCross Ref
  27. Arthur Gervais, Ghassan Karame, Srdjan Capkun, and Vedran Capkun. 2013. Is Bitcoin a decentralized currency? IACR Cryptology ePrint Archive 2013 (2013), 829.Google ScholarGoogle Scholar
  28. Google Wallet. 2015. Tap and pay with your phone. (2015). Retrieved August 22, 2015 from http://www.google.com/wallet/shop-in-stores/?gclid=CKP_1JGCscMCFc0kgQodTZIACA.Google ScholarGoogle Scholar
  29. Dominic Hobson. 2013. What is Bitcoin? XRDS 20, 1 (Sept. 2013), 40--44. http://doi.acm.org/10.1145/2510124 Google ScholarGoogle ScholarDigital LibraryDigital Library
  30. Tamara Holmes. 2015. Payment method statistics. (15 June 2015). Retrieved September 24, 2015 from http://www.creditcards.com/credit-card-news/payment-method-statistics-1276.php.Google ScholarGoogle Scholar
  31. Jermain Kaminski and Peter Gloor. 2014. Nowcasting the Bitcoin Market with Twitter Signals. arXiv preprint arXiv:1406.7577 (2014).Google ScholarGoogle Scholar
  32. Jofish Kaye, Janet Vertesi, Jennifer Ferreira, Barry Brown, and Mark Perry. 2014b. #CHImoney: Financial Interactions, Digital Cash, Capital Exchange and Mobile Money. In CHI '14 Extended Abstracts on Human Factors in Computing Systems (CHI EA '14). ACM, NY, NY, USA, 111--114. http://doi.acm.org/10.1145/2559206.2559221 Google ScholarGoogle ScholarDigital LibraryDigital Library
  33. Joseph Jofish Kaye, Mary McCuistion, Rebecca Gulotta, and David A. Shamma. 2014a. Money Talks: Tracking Personal Finances. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '14). ACM, NY, NY, USA, 521--530. http://doi.acm.org/10.1145/2556288.2556975 Google ScholarGoogle ScholarDigital LibraryDigital Library
  34. Daniel Kondor, Marton Posfai, Istvan Csabai, and Gabor Vattay. 2014. Do the rich get richer? An empirical analysis of the Bitcoin transaction network. PloS one 9, 2 (2014), e86197.Google ScholarGoogle ScholarCross RefCross Ref
  35. Philip Koshy, Diana Koshy, and Patrick McDaniel. 2014. An Analysis of Anonymity in Bitcoin Using P2P Network Traffic. In Financial Cryptography and Data Security. 469--485.Google ScholarGoogle Scholar
  36. Deepti Kumar, David Martin, and Jacki O'Neill. 2011. The Times They Are A-changin': Mobile Payments in India. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '11). ACM, NY, NY, USA, 1413--1422. http://doi.acm.org/10.1145/1978942.1979150 Google ScholarGoogle ScholarDigital LibraryDigital Library
  37. Doug Levinson. 2014. What gives a dollar bill its value? Video. (23 June 2014). Retrieved September 18, 2015 from http://ed.ted.com/lessons/what-gives-a-dollar-bill-its-value-doug-levinson.Google ScholarGoogle Scholar
  38. Caitlin Lustig and Bonnie Nardi. 2015. Algorithmic Authority: The Case of Bitcoin. In System Sciences (HICSS), 2015 48th Hawaii International Conference on. 743--752. DOI: http://dx.doi.org/10.1109/HICSS.2015.95 Google ScholarGoogle ScholarDigital LibraryDigital Library
  39. Scott Mainwaring, Wendy March, and Bill Maurer. 2008. From Meiwaku to Tokushita!: Lessons for Digital Money Design from Japan. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '08). ACM, NY, NY, USA, 21--24. http://doi.acm.org/10.1145/1357054.1357058 Google ScholarGoogle ScholarDigital LibraryDigital Library
  40. Bill Maurer, Taylor C Nelms, and Lana Swartz. 2013. When perhaps the real problem is money itself!: the practical materiality of Bitcoin. Social Semiotics 23, 2 (2013), 261--277.Google ScholarGoogle ScholarCross RefCross Ref
  41. Indrani Medhi, S.N. Nagasena Gautama, and Kentaro Toyama. 2009. A Comparison of Mobile Money-transfer UIs for Non-literate and Semi-literate Users. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '09). ACM, NY, NY, USA, 1741--1750. http://doi.acm.org/10.1145/1518701.1518970 Google ScholarGoogle ScholarDigital LibraryDigital Library
  42. Sarah Meiklejohn, Marjori Pomarole, Grant Jordan, Kirill Levchenko, Damon McCoy, Geoffrey M. Voelker, and Stefan Savage. 2013. A Fistful of Bitcoins: Characterizing Payments Among Men with No Names. In Proceedings of the 2013 Conference on Internet Measurement Conference (IMC '13). ACM, NY, NY, USA, 127--140. http://doi.acm.org/10.1145/2504730.2504747 Google ScholarGoogle ScholarDigital LibraryDigital Library
  43. Tyler Moore and Nicolas Christin. 2013. Beware the middleman: Empirical analysis of bitcoin-exchange risk. In Financial Cryptography and Data Security. Springer, 25--33.Google ScholarGoogle Scholar
  44. Satoshi Nakamoto. 2008. Bitcoin: A peer-to-peer electronic cash system. Consulted 1, 2012 (2008), 28.Google ScholarGoogle Scholar
  45. Gary Pritchard, John Vines, and Patrick Olivier. 2015. Your Money's No Good Here: The Elimination of Cash Payment on London Buses. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (CHI '15). ACM, NY, NY, USA, 907--916. http://doi.acm.org/10.1145/2702123.2702137 Google ScholarGoogle ScholarDigital LibraryDigital Library
  46. Reddit. 2015. Bitcoin Subreddit. (2015). Retrieved August 22, 2015 from http://www.reddit.com/r/bitcoin.Google ScholarGoogle Scholar
  47. Simulacrum. 2013. The Demographics of Bitcoin (PART 1 UPDATED). (2013). Retrieved July 20, 2015 from http://simulacrum.cc/2013/03/04/ the-demographics-of-bitcoin-part-1-updated/.Google ScholarGoogle Scholar
  48. Michele Spagnuolo, Federico Maggi, and Stefano Zanero. 2014. Bitiodine: Extracting intelligence from the bitcoin network. In Financial Cryptography and Data Security. Springer, 457--468.Google ScholarGoogle Scholar
  49. Janet Stocks, Capitolina Díaz, and Bjorn Hallerod. 2007. Modern couples sharing money, sharing life. Palgrave Macmillan.Google ScholarGoogle Scholar
  50. Joana Taborda. 2015. United States Inflation Rate. (16 September 2015). Retrieved September 20, 2015 from http://www.tradingeconomics.com/united-states/inflation-cpi.Google ScholarGoogle Scholar
  51. Pater Tenebrarum. 2015. Misconceptions About Gold. (16 February 2015). Retrieved December 20, 2015 from http://www.acting-man.com/?p=35868.Google ScholarGoogle Scholar
  52. Marshall Van Alstyne. 2014. Why Bitcoin Has Value. Commun. ACM 57, 5 (May 2014), 30--32. http://doi.acm.org/10.1145/2594288 Google ScholarGoogle ScholarDigital LibraryDigital Library
  53. Vericoin. 2015. The VeriCoin Android wallet featuring VeriBit. (2015). Retrieved August 22, 2015 from http://www.vericoin.info/.Google ScholarGoogle Scholar
  54. John Vines, Mark Blythe, Paul Dunphy, and Andrew Monk. 2011. Eighty something: banking for the older old. In Proceedings of the 25th BCS Conference on Human-Computer Interaction. British Computer Society, 64--73. Google ScholarGoogle ScholarDigital LibraryDigital Library
  55. John Vines, Mark Blythe, Paul Dunphy, Vasillis Vlachokyriakos, Isaac Teece, Andrew Monk, and Patrick Olivier. 2012a. Cheque Mates: Participatory Design of Digital Payments with Eighty Somethings. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '12). ACM, NY, NY, USA, 1189--1198. http://doi.acm.org/10.1145/2207676.2208569 Google ScholarGoogle ScholarDigital LibraryDigital Library
  56. John Vines, Paul Dunphy, Mark Blythe, Stephen Lindsay, Andrew Monk, and Patrick Olivier. 2012b. The Joy of Cheques: Trust, Paper and Eighty Somethings. In Proceedings of the ACM 2012 Conference on Computer Supported Cooperative Work (CSCW '12). ACM, NY, NY, USA, 147--156. http://doi.acm.org/10.1145/2145204.2145229 Google ScholarGoogle ScholarDigital LibraryDigital Library
  57. Yang Wang and Scott D. Mainwaring. 2008. Human-Currency Interaction: Learning from Virtual Currency Use in China. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '08). ACM, NY, NY, USA, 25--28. http://doi.acm.org/10.1145/1357054.1357059 Google ScholarGoogle ScholarDigital LibraryDigital Library
  58. Aaron Yelowitz and Matthew Wilson. 2015. Characteristics of Bitcoin users: an analysis of Google search data. Applied Economics Letters 22, 13 (2015), 1030--1036. DOI: http://dx.doi.org/10.1080/13504851.2014.995359Google ScholarGoogle ScholarCross RefCross Ref
  59. Viviana Zelizer. 1997. The social meaning of money: Pin money, paychecks, poor relief and other currencies. Princeton University Press Princeton.Google ScholarGoogle Scholar

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        cover image ACM Conferences
        CHI '16: Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems
        May 2016
        6108 pages
        ISBN:9781450333627
        DOI:10.1145/2858036

        Copyright © 2016 ACM

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        Publication History

        • Published: 7 May 2016

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        CHI '16 Paper Acceptance Rate565of2,435submissions,23%Overall Acceptance Rate6,199of26,314submissions,24%

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