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See no evil: Cognitive challenges of security surveillance and monitoring
- Source :
- Journal of Applied Research in Memory and Cognition. 6:230-243
- Publication Year :
- 2017
- Publisher :
- American Psychological Association (APA), 2017.
-
Abstract
- While the development of intelligent technologies in security surveillance can augment human capabilities, they do not replace the role of the operator entirely; as such, when developing surveillance support it is critical that limitations to the cognitive system are taken into account. The current article reviews the cognitive challenges associated with the task of a CCTV operator: visual search and cognitive/perceptual overload, attentional failures, vulnerability to distraction, and decision-making in a dynamically evolving environment. While not directly applied to surveillance issues, we suggest that the NSEEV (noticing – salience, effort, expectancy, value) model of attention could provide a useful theoretical basis for understanding the challenges faced in detection and monitoring tasks. Having identified cognitive limitations of the human operator, this review sets out a research agenda for further understanding the cognitive functioning related to surveillance, and highlights the need to consider the human element at the design stage when developing technological solutions to security surveillance.
- Subjects :
- Expectancy theory
Visual search
05 social sciences
Experimental and Cognitive Psychology
Cognition
050105 experimental psychology
Information overload
03 medical and health sciences
Clinical Psychology
0302 clinical medicine
Risk analysis (engineering)
Salience (neuroscience)
Distraction
0501 psychology and cognitive sciences
Cognitive skill
Psychology
Dynamic decision-making
Social psychology
030217 neurology & neurosurgery
Applied Psychology
Subjects
Details
- ISSN :
- 2211369X and 22113681
- Volume :
- 6
- Database :
- OpenAIRE
- Journal :
- Journal of Applied Research in Memory and Cognition
- Accession number :
- edsair.doi...........b0d8b2c956579fa0bf3efb7365092e5e
- Full Text :
- https://doi.org/10.1016/j.jarmac.2017.05.001