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Privacy Perception when Using Smartphone Applications

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Abstract

Our smartphone is full of applications and data that analytically organize, facilitate and describe our lives. We install applications for the most varied reasons, to inform us, to have fun and for work, but, unfortunately, we often install them without reading the terms and conditions of use. The result is that our privacy is increasingly at risk. Considering this scenario, in this paper, we analyze the user’s perception towards privacy while using smartphone applications. In particular, we formulate two different hypotheses: 1) the perception of privacy is influenced by the knowledge of the data used by the installed applications; 2) applications access to much more data than they need. The study is based on two questionnaires (within-subject experiments with 200 volunteers) and on the lists of installed apps (30 volunteers). Results show a widespread abuse of data related to location, personal contacts, camera, Wi-Fi network list, running apps list, and vibration. An in-depth analysis shows that some features are more relevant to certain groups of users (e.g., adults are mainly worried about contacts and Wi-Fi connection lists; iOS users are sensitive to smartphone vibration; female participants are worried about possible misuse of the smartphone camera).

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Authors and Affiliations

  1. Dipartimento di Comunicazione ed Economia, Università di Modena and Reggio Emilia, Viale Allegri 9, Reggio Emilia, 42121, Italy

    Marco Furini

  2. Dipartimento di Informatica - Scienza e Ingegneria, Università di Bologna, Mura Anteo Zamboni 7, Bologna, 40126, Italy

    Silvia Mirri & Catia Prandi

  3. Dipartimento di Fisica, Informatica e Matematica, Università di Modena and Reggio Emilia, Via Campi XX, Modena, 41125, Italy

    Manuela Montangero

Authors
  1. Marco Furini
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  2. Silvia Mirri
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  3. Manuela Montangero
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  4. Catia Prandi
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Correspondence to Marco Furini.

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Furini, M., Mirri, S., Montangero, M. et al. Privacy Perception when Using Smartphone Applications. Mobile Netw Appl 25, 1055–1061 (2020). https://doi.org/10.1007/s11036-020-01529-z

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  • DOI: https://doi.org/10.1007/s11036-020-01529-z

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