Camera or cop: Understanding the procedurally just nature of AI-based camera and police officer detected Mobile phone offending
Rattachement africain : au, si, nl. Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
This study investigates the application of procedural justice principles to police and AI-based camera enforcement of mobile phone use while driving. Utilizing a mixed-methods approach, two studies were conducted: qualitative interviews with 26 police officers and a quantitative survey of 292 drivers. The interviews explored officers' perceptions of fairness, respect, trustworthy motives, and voice during enforcement interactions, and compared this with their understanding of AI-Based enforcement. The survey compared drivers' perceptions of these procedural justice dimensions across police and camera enforcement. The interview results provided a unique perspective on how the procedural justice principles could be applied to experiences of police enforcement of phone use while driving, and also qualitatively compared police and camera enforcement for this offence. The survey results indicate that among drivers, police enforcement is perceived as significantly more procedurally just, particularly regarding listening, respect, and politeness, with effect sizes ranging from small to moderate. These findings suggest that the human element in police interactions plays a critical role in fostering public trust and perceived legitimacy, which may not be replicated by automated camera systems. The study highlights the need for careful consideration of procedural justice principles in the implementation of technological enforcement methods to ensure they complement, rather than undermine, established justice practices.
Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.
Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Camera or cop: Understanding the procedurally just nature of AI-based camera and police officer detected Mobile phone offending
- Date Crossref
- 01/04/2026
- Éditeur
- Elsevier BV
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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University of the Sunshine Coast pays non établi dans la noticeUniversité ou école supérieure
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Australian Institute of Criminology pays non établi dans la noticeOrganisme public
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Griffith University pays non établi dans la noticeUniversité ou école supérieure
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Institute of Criminology pays non établi dans la noticeStructure de recherche
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Delft University of Technology pays non établi dans la noticeUniversité ou école supérieure
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School of Criminology and Criminal Justice and Griffith Criminology Institute pays non établi dans la noticeUniversité ou école supérieure
University of the Sunshine Coast, Australian Institute of Criminology et Griffith University, avec 3 autres affiliations.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.