Do privacy and security matter to everyone? Quantifying and clustering user-centric considerations about smart home device adoption

Natã M. Barbosa, Zhuohao Zhang, Yang Wang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

While consumer adoption of smart home devices continues to grow, privacy concerns reportedly remain a roadblock to mass adoption. However, it is unclear exactly how the interplay between privacy and other factors affect consumers' purchase decisions, and whether such considerations are held only by certain consumer groups but not others. In order to unpack the decision-making process of smart home device adoption, we conducted a mixed-method analysis using online survey data collected from 631 US participants. Our analysis uncovered motivators and blockers of purchase decisions, along with their relative importance. We found that consumers can be segmented based on their considerations into three clusters: affordability-oriented, privacy-oriented, and reliability-oriented. We present an in-depth quantification of consumer considerations on smart home device adoption along with desired privacy and security features consumers wish to use to protect their privacy in the smart home.

Original languageEnglish (US)
Title of host publicationProceedings of the 16th Symposium on Usable Privacy and Security, SOUPS 2020
PublisherUSENIX Association
Pages417-436
Number of pages20
ISBN (Electronic)9781939133168
StatePublished - 2020
Event16th Symposium on Usable Privacy and Security, SOUPS 2020 - Virtual, Online
Duration: Aug 10 2020Aug 11 2020

Publication series

NameProceedings of the 16th Symposium on Usable Privacy and Security, SOUPS 2020

Conference

Conference16th Symposium on Usable Privacy and Security, SOUPS 2020
CityVirtual, Online
Period8/10/208/11/20

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Safety, Risk, Reliability and Quality

Fingerprint

Dive into the research topics of 'Do privacy and security matter to everyone? Quantifying and clustering user-centric considerations about smart home device adoption'. Together they form a unique fingerprint.

Cite this