Literature DB >> 25479991

Work exposure and vigilance decrements in closed circuit television surveillance.

Fiona Donald1, Craig Donald2, Andrew Thatcher3.   

Abstract

The aim of this study was to examine operator effectiveness in terms of detection rates and potential vigilance decrements in a proactive or real time CCTV surveillance task. The study was conducted in two stages. During stage one, 42 operators who were employed full-time in CCTV surveillance observed a 90-min video and were required to detect four types of target behaviours. No vigilance decrement was found for this sample as a whole. Stage two involved collecting additional data from 31 novices and dividing the existing operators into two sub-samples, consisting of generalists and specialists depending on the type of surveillance they performed at work (total N = 73). Fifty percent of target behaviours were detected and false alarms were high. Vigilance decrements were found for novices and generalists, but specialists maintained their performance for the first hour and then increased it. Results are discussed in terms of surveillance background, work exposure, transfer of learning, selection, training and motivation and the impact of these on vigilance and CCTV performance.
Copyright © 2014 Elsevier Ltd and The Ergonomics Society. All rights reserved.

Keywords:  Closed circuit television; Operator performance; Vigilance decrement

Mesh:

Year:  2014        PMID: 25479991     DOI: 10.1016/j.apergo.2014.10.001

Source DB:  PubMed          Journal:  Appl Ergon        ISSN: 0003-6870            Impact factor:   3.661


  2 in total

1.  Variations in breast cancer detection rates during mammogram-reading sessions: does experience have an impact?

Authors:  Abdulaziz S Alshabibi; Moayyad E Suleiman; Salman M Albeshan; Robert Heard; Patrick C Brennan
Journal:  Br J Radiol       Date:  2021-11-04       Impact factor: 3.039

Review 2.  Still Not Solved: A Call for Renewed Focus on User-Centered Teleoperation Interfaces.

Authors:  Daniel J Rea; Stela H Seo
Journal:  Front Robot AI       Date:  2022-03-29
  2 in total

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