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Assessing User Understanding, Perception and Behaviour with Privacy and Permission Settings

  • Conference paper
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HCI for Cybersecurity, Privacy and Trust (HCII 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14045))

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Abstract

Nowadays, users face an increasing range of contexts in which they may wish to control access to and share their data. This includes mobile apps accessing sensitive data, cookies tracking user activity, and social media sites targeting users for advertisement. Existing studies have determined that many ordinary users are unable to make informed permissions-related decisions when giving permissions to apps due to a lack of understanding of permissions and interface issues. Today, primary web services, such as social networks, mobile phones, web browsers and the Internet of Things, provide a vast number of privacy settings to users, aiming to provide more control. Although privacy details and permission settings are often made available, they can fall short of capturing and communicating essential considerations which users care about or offering them a meaningful level of control. As a result, the situation for many users has become unmanageable, and they do not have sufficient and proper control of all permissions on different platforms. This paper presents initial findings from ongoing research that is aimed at investigating ways to improve communication with users and support their related decision-making. The analysis leads to the following conclusions: end-users do not read and misunderstand permission requirements, demonstrating a gap between knowledge, perception and behaviours about permissions and privacy settings. Therefore, it is reasonable to assist consumers by allowing them to manage and revisit their privacy settings easily. The number of privacy decisions is growing; therefore, it is unrealistic for ordinary users to manage all these privacy settings.

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Acknowledgements

The authors would like to acknowledge the input from Julie Haney of the Visualisation and Usability Group at the National Institute of Standards and Technology (NIST) for her valuable input and comments into the design of the questionnaire instrument.

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Authors and Affiliations

  1. School of Computer Science, University of Nottingham, Nottingham, UK

    Nourah Alshomrani, Steven Furnell & Ying He

Authors
  1. Nourah Alshomrani
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  2. Steven Furnell
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  3. Ying He
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Corresponding authors

Correspondence to Nourah Alshomrani , Steven Furnell or Ying He .

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  1. San Jose State University, San Jose, CA, USA

    Abbas Moallem

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Alshomrani, N., Furnell, S., He, Y. (2023). Assessing User Understanding, Perception and Behaviour with Privacy and Permission Settings. In: Moallem, A. (eds) HCI for Cybersecurity, Privacy and Trust. HCII 2023. Lecture Notes in Computer Science, vol 14045. Springer, Cham. https://doi.org/10.1007/978-3-031-35822-7_36

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  • DOI: https://doi.org/10.1007/978-3-031-35822-7_36

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