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Can I Help You Setting Your Privacy? A Survey-based Exploration of Users' Attitudes towards Privacy Suggestions

Published: 11 December 2015 Publication History

Abstract

Even avid users of mobile applications turn a blind eye to privacy settings. Still mobile applications remain the key means by which users share sensitive personal information. It is unclear if users just do not care, if they are missing the appropriate tools or user interfaces, or if they live in the delusion of being in control of their data. We argue that non-user-friendly design presents a key obstacle in making privacy controls work: it hinders users to effectively set up and maintain privacy settings. Our ultimate goal is to support the user by automatically suggesting access control lists based on an analysis of her communication metadata. To guide us in the design of such privacy suggestions, we perform an explorative questionnaire-based study with 42 participants. Our results confirm that users are overtaxed with existing schemes. We identify the expectations and preferences of users, thus facilitating the design of improved solutions.

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  • (2023)Vision: Supporting Citizens in Adopting Privacy Enhancing TechnologiesProceedings of the 2023 European Symposium on Usable Security10.1145/3617072.3617105(253-259)Online publication date: 16-Oct-2023
  • (2023)NotesThe Privacy Fallacy10.1017/9781108995825.010(173-242)Online publication date: 16-Nov-2023
  • (2023)Lengthy early morning instant messages reveal more than you think: Analysing interpersonal relationships using mobile communication metadataPervasive and Mobile Computing10.1016/j.pmcj.2023.10178191(101781)Online publication date: Apr-2023
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  1. Can I Help You Setting Your Privacy? A Survey-based Exploration of Users' Attitudes towards Privacy Suggestions

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        cover image ACM Other conferences
        MoMM 2015: Proceedings of the 13th International Conference on Advances in Mobile Computing and Multimedia
        December 2015
        422 pages
        ISBN:9781450334938
        DOI:10.1145/2837126
        Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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        • Johannes Kepler University, Linz, Austria
        • @WAS: International Organization of Information Integration and Web-based Applications and Services

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        New York, NY, United States

        Publication History

        Published: 11 December 2015

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        Cited By

        View all
        • (2023)Vision: Supporting Citizens in Adopting Privacy Enhancing TechnologiesProceedings of the 2023 European Symposium on Usable Security10.1145/3617072.3617105(253-259)Online publication date: 16-Oct-2023
        • (2023)NotesThe Privacy Fallacy10.1017/9781108995825.010(173-242)Online publication date: 16-Nov-2023
        • (2023)Lengthy early morning instant messages reveal more than you think: Analysing interpersonal relationships using mobile communication metadataPervasive and Mobile Computing10.1016/j.pmcj.2023.10178191(101781)Online publication date: Apr-2023
        • (2022)Privacy Estimation on Twitter: Modelling the Effect of Latent Topics on Privacy by Integrating XGBoost, Topic and Generalized Additive Models2022 IEEE Smartworld, Ubiquitous Intelligence & Computing, Scalable Computing & Communications, Digital Twin, Privacy Computing, Metaverse, Autonomous & Trusted Vehicles (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta)10.1109/SmartWorld-UIC-ATC-ScalCom-DigitalTwin-PriComp-Metaverse56740.2022.00365(2325-2332)Online publication date: Dec-2022
        • (2022)An explainable assistant for multiuser privacyAutonomous Agents and Multi-Agent Systems10.1007/s10458-021-09543-536:1Online publication date: 15-Jan-2022
        • (2022)Citizen Privacy Profile FrameworkCitizen Privacy Framework10.1007/978-3-031-06021-2_3(21-69)Online publication date: 16-May-2022
        • (2022)Insights into Privacy ResearchCitizen Privacy Framework10.1007/978-3-031-06021-2_2(9-19)Online publication date: 16-May-2022
        • (2019)A Participatory Privacy Protection Framework for Smart-Phone Application Default SettingsSecurity in Computing and Communications10.1007/978-981-13-5826-5_13(168-182)Online publication date: 24-Jan-2019
        • (2017)Differentiated User Privacy Support in the Digital SocietyWirtschaftsinformatik in Theorie und Praxis10.1007/978-3-658-17613-6_11(141-152)Online publication date: 8-Jun-2017
        • (2016)Privacy Settings Recommender for Online Social Network2016 IEEE 2nd International Conference on Collaboration and Internet Computing (CIC)10.1109/CIC.2016.079(514-521)Online publication date: Nov-2016
        • Show More Cited By

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