Nudging people away from privacy-invasive mobile apps through visual framing

Eun Kyoung Choe, Jaeyeon Jung, Bongshin Lee, Kristie Fisher

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

33 Scopus citations

Abstract

Smartphone users visit application marketplaces (or app stores) to search and install applications. However, these app stores are not free from privacy-invasive apps, which collect personal information without sufficient disclosure or people's consent. To nudge people away from privacy-invasive apps, we created a visual representation of the mobile app's privacy rating. Inspired by "Framing Effects," we designed semantically equivalent visuals that are framed in either a positive or negative way. We investigated the effect of the visual privacy rating, framing, and user rating on people's perception of an app (e.g., trustworthiness) through two experiments. In Study 1, participants were able to understand the intended meaning of the visual privacy ratings. In Study 2, we found a strong main effect for visual privacy rating on participants' perception of an app, and framing effects in a low privacy rating app. We discuss implications for designing visual privacy ratings, including the use of positive visual framing to nudge people away from privacy-invasive apps.

Original languageEnglish (US)
Title of host publicationHuman-Computer Interaction, INTERACT 2013 - 14th IFIP TC 13 International Conference, Proceedings
Pages74-91
Number of pages18
EditionPART 3
DOIs
Publication statusPublished - Sep 5 2013
Event14th IFIP TC 13 International Conference on Human-Computer Interaction, INTERACT 2013 - Cape Town, South Africa
Duration: Sep 2 2013Sep 6 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 3
Volume8119 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other14th IFIP TC 13 International Conference on Human-Computer Interaction, INTERACT 2013
CountrySouth Africa
CityCape Town
Period9/2/139/6/13

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All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Choe, E. K., Jung, J., Lee, B., & Fisher, K. (2013). Nudging people away from privacy-invasive mobile apps through visual framing. In Human-Computer Interaction, INTERACT 2013 - 14th IFIP TC 13 International Conference, Proceedings (PART 3 ed., pp. 74-91). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8119 LNCS, No. PART 3). https://doi.org/10.1007/978-3-642-40477-1_5