TY - GEN
T1 - Nudging people away from privacy-invasive mobile apps through visual framing
AU - Choe, Eun Kyoung
AU - Jung, Jaeyeon
AU - Lee, Bongshin
AU - Fisher, Kristie
PY - 2013
Y1 - 2013
N2 - 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.
AB - 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.
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U2 - 10.1007/978-3-642-40477-1_5
DO - 10.1007/978-3-642-40477-1_5
M3 - Conference contribution
AN - SCOPUS:84883298555
SN - 9783642404764
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 74
EP - 91
BT - Human-Computer Interaction, INTERACT 2013 - 14th IFIP TC 13 International Conference, Proceedings
T2 - 14th IFIP TC 13 International Conference on Human-Computer Interaction, INTERACT 2013
Y2 - 2 September 2013 through 6 September 2013
ER -