Priority or Parity? Scanning Strategies and Detection Performance of Novice Operators in Urban Surveillance

Author:

Hodgetts Helen M.12,Chamberland Cindy2,Latulippe-Thériault Jean-Denis2,Vachon François2,Tremblay Sébastien2

Affiliation:

1. Cardiff Metropolitan University, UK

2. Université Laval, Québec, Canada

Abstract

Closed-circuit television (CCTV) is increasingly used as a means to ensure the safety and security of critical infrastructure and public spaces. Operators in control rooms are responsible for monitoring multiple camera feeds that generally exceed the number of screens available. Using a realistic video surveillance simulation, the current study investigates strategies that untrained operators use to deal with this visual overload. The majority of participants adopted a priority strategy by fixating some scenes more than others, as opposed to a parity strategy of devoting roughly equal time across all screens—although participants were largely unaware of the strategy they had used. A parity approach led to better detection performance, perhaps because less time elapsed between viewing each available camera feed thus reducing the probability that an incident could pass unnoticed. The identification of successful scanning strategies can be used to inform operator training.

Publisher

SAGE Publications

Subject

General Medicine,General Chemistry

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Surveillance-Behavior Support by a Real-Time Gaze-Based Tool Integrated with Augmented Reality;2024 IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA);2024-05-07

2. Searching in CCTV: effects of organisation in the multiplex;Cognitive Research: Principles and Implications;2021-02-18

3. Real-Time Gaze-Aware Cognitive Support System for Security Surveillance;Proceedings of the Human Factors and Ergonomics Society Annual Meeting;2020-12

4. Mobile Real-Time Eye-Tracking for Gaze-Aware Security Surveillance Support Systems;Advances in Intelligent Systems and Computing;2020

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