Semi-automated CCTV surveillance: the effects of system confidence, system accuracy and task complexity on operator vigilance, reliance and workload.
Recent advances in computer vision technology have lead to the development of various automatic surveillance systems, however their effectiveness is adversely affected by many factors and they are not completely reliable. This study investigated the potential of a semi-automated surveillance system to reduce CCTV operator workload in both detection and tracking activities. A further focus of interest was the degree of user reliance on the automated system. A simulated prototype was developed which mimicked an automated system that provided different levels of system confidence information. Dependent variable measures were taken for secondary task performance, reliance and subjective workload. When the automatic component of a semi-automatic CCTV surveillance system provided reliable system confidence information to operators, workload significantly decreased and spare mental capacity significantly increased. Providing feedback about system confidence and accuracy appears to be one important way of making the status of the automated component of the surveillance system more 'visible' to users and hence more effective to use.
Human Factors Research Group, Faculty of Engineering, University of Nottingham, Nottingham NG7 2RD, UK.
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N
Dadashi
A W
AW
Stedmon
T P
TP
Pridmore
D001185:Artificial Intelligence; D001288:Attention; D001290:Attitude; D001331:Automation; D001364:Awareness; D003198:Computer Simulation; D004526:Efficiency; D006804:Ergonomics; D005246:Feedback; D005260:Female; D006801:Humans; D007858:Learning; D008297:Male; D008328:Man-Machine Systems; D008606:Mental Processes; D010363:Pattern Recognition, Automated; D012306:Risk; D012637:Security Measures / Q000592:standards; D012680:Sensitivity and Specificity; D013647:Task Performance and Analysis; D013690:Television / Q000592:standards; D035502:Trust; D016526:Workload; D055815:Young Adult