Privacy Strategies for Police Personnel: Co-designing a Self-Assessment Tool

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BAYERL, Petra, OBST, Marcel, SPENCER, Jack, SNOWDEN, Martin and AKHGAR, Babak (2025). Privacy Strategies for Police Personnel: Co-designing a Self-Assessment Tool. In: ARABNIA, Hamid R. and DELIGIANNIDIS, Leonidas, (eds.) Software Engineering Research and Practice and e-Learning, e-Business, Enterprise Information Systems, and e-Government.22nd International Conference, SERP 2024, and 23rd International Conference, EEE 2024, Held as Part of the World Congress in Computer. Communications in Computer and Information Science . Cham, Springer, 172-186. [Book Section]

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Abstract

This article presents a study aimed at co-designing technological capabilities to support the protection of UK police officers and staff in public-facing roles. Firstly, we examined the digital literacy of police personnel, their experiences with online harms, and their requirements for a tool to equip them with privacy strategies in their use of digital platforms. These findings informed the design and development of a Self-assessment Tool that enhances police personnel’s privacy awareness and literacy. We discuss the challenges encountered in tailoring the tool to their specific needs and present the final product. The tool is a critical component of a broader strategy to reduce online harms experienced by police personnel as public-facing professionals.

More Information

Official URL:

https://link.springer.com/chapter/10.1007/978-3-03...

Additional Information:

Series ISSN: 1865-0937

Page Range:

172-186

Event Location:

Las Vegas, USA

ISBN:

9783031866449

Identifiers