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Consumer Attitudes Towards Privacy and Security in Home Assistants

Published:20 April 2018Publication History

ABSTRACT

Home assistants such as Amazon's Echo and Google's Home have become a common household item. In this paper we investigate if and what consumers have reported online (in the form of reviews) related to privacy and security after purchasing or using these devices.

We use natural language processing to first identify privacy and security related reviews, and then to investigate the topics consumers discuss within the reviews. We were interested in understanding consumers' major concerns.

Issues and/or concerns related to security and privacy have have been reported within reviews; however, these topics only account for 2% of the total reviews given for these devices. Three major concerns were highlighted in our findings: data collection and scope, "creepy" device behavior, and violations of personal privacy thresholds.

References

  1. Alessandro Acquisti and Jens Grossklags. 2005. Privacy and rationality in individual decision making. IEEE Security & Privacy 2 (2005), 24--30. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Charu C. Aggarwal and ChengXiang Zhai. 2012. Mining text data. Springer Science & Business Media. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Strategy Analytics. 2017. Smart Speakers: Sales Head towards 24 Million in 2017 Despite Confusing Array of Choice. (October 2017). http://sa-link.cc/1lqGoogle ScholarGoogle Scholar
  4. Steven Bird, Edward Loper, and Ewan Klein. 2009. Natural Language Processing with Python. O'Reilly Media Inc. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Louis Columbus. 2016. Roundup Of Internet Of Things Forecasts And Market Estimates. (2016).Google ScholarGoogle Scholar
  6. Federal Trade Commission and others. 2015. Internet of things: Privacy & security in a connected world. (2015).Google ScholarGoogle Scholar
  7. Brian Krebs. 2016. KrebsOnSecurity Hit With Record DDoS. (2016).Google ScholarGoogle Scholar
  8. Pedro G. Leon, Ashwini Rao, Florian Schaub, Abigail Marsh, and Lorrie F. Cranor. 2015. Why people are (Un) willing to share information with online advertisers. Technical Report Carnegie Mellon University-ISR-15-106, Carnegie Mellon University (2015).Google ScholarGoogle Scholar
  9. Christopher Mele. 2016. Bid for Access to Amazon Echo Audio in Murder Case Raises Privacy Concerns. The New York Times (Dec 2016).Google ScholarGoogle Scholar
  10. Florian Michahelles and Stephan Karpischek. 2010. What can the Internet of Things do for the citizen (CIoT). IEEE Pervasive Computing 10 (2010), 102--104. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. Scott R. Peppet. 2015. Regulating the Internet of Things : First Steps. Texas Law Review 93, 85 (2015).Google ScholarGoogle Scholar
  12. Lee Rainie and Maeve Duggan. 2016. Americans' opinions on privacy and information sharing. Technical Report. Pew Research Center.Google ScholarGoogle Scholar
  13. Joel R Reidenberg. 2005. Disagreeable Privacy Policies: Mismatches Between Meaning and User's Understanding. Erasmus November (2005).Google ScholarGoogle Scholar
  14. Irina Shklovski, Scott D. Mainwaring, Halla Hrund Skúladóttir, and Höskuldur Borgthorsson. 2014. Leakiness and Creepiness in App Space: Perceptions of Privacy and Mobile App Use. Proc. CHI'14 (2014). Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. Rick Wash. 2010. Folk Models of Home Computer Security. In Proc. SOUPS'10. ACM, Article 11, 11:1--11:16 pages. Google ScholarGoogle ScholarDigital LibraryDigital Library

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    • Published in

      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

      Copyright © 2018 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: 20 April 2018

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      Acceptance Rates

      CHI EA '18 Paper Acceptance Rate1,208of3,955submissions,31%Overall Acceptance Rate6,164of23,696submissions,26%

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