Expectation and purpose: Understanding users' mental models of mobile app privacy through crowdsourcing

Jialiu Lin*, Shahriyar Amini, Jason I. Hong, Norman Sadeh, Janne Lindqvist, Joy Zhang

*Tämän työn vastaava kirjoittaja

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussaConference article in proceedingsScientificvertaisarvioitu

340 Sitaatiot (Scopus)

Abstrakti

Smartphone security research has produced many useful tools to analyze the privacy-related behaviors of mobile apps. However, these automated tools cannot assess people's perceptions of whether a given action is legitimate, or how that action makes them feel with respect to privacy. For example, automated tools might detect that a blackjack game and a map app both use one's location information, but people would likely view the map's use of that data as more legitimate than the game. Our work introduces a new model for privacy, namely privacy as expectations. We report on the results of using crowdsourcing to capture users' expectations of what sensitive resources mobile apps use. We also report on a new privacy summary interface that prioritizes and highlights places where mobile apps break people's expectations. We conclude with a discussion of implications for employing crowdsourcing as a privacy evaluation technique.

AlkuperäiskieliEnglanti
OtsikkoUbiComp'12 - Proceedings of the 2012 ACM Conference on Ubiquitous Computing
Sivut501-510
Sivumäärä10
DOI - pysyväislinkit
TilaJulkaistu - 19 lokak. 2012
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
TapahtumaACM International Joint Conference on Pervasive and Ubiquitous Computing - Pittsburgh, Yhdysvallat
Kesto: 5 syysk. 20128 syysk. 2012
Konferenssinumero: 14

Conference

ConferenceACM International Joint Conference on Pervasive and Ubiquitous Computing
LyhennettäUbiComp
Maa/AlueYhdysvallat
KaupunkiPittsburgh
Ajanjakso05/09/201208/09/2012

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