Searching for threat: factors determining performance during CCTV monitoring

Monitoring closed-circuit television (CCTV) for security purposes is a task requiring sustained attention and the processing of many complex, constantly changing visual elements. Studies of performance in such tasks reveal a high level of workload and rapid loss of performance as workload is increased. Similarly, laboratory based experimental paradigms suggest that performance in CCTV monitoring is extremely dependent on the complexity and number of video screens monitored. We suggest that measuring eye movements during CCTV monitoring might provide a novel and rich source of data to illuminate the question of how CCTV monitoring is performed. In the psychological literature, two influences on attention are traditionally considered: the ability of events in the world to capture our attention regardless of our current goals (stimulus-dependent salience) and the ability to direct our attention towards stimuli relevant to the task we are trying to perform (goal-based relevance). Stimulus-dependent salience and goal-based relevance together determine the human fixation priority assigned to scene locations (Fecteau and Munoz, 2006, TICS 10, 382-390). Tests of the stimulus-dependent salience component of this process tend to look for regions in the image that are consistently fixated and link this to the underlying image properties. However, when the task is common across observers, consistent fixation location can also indicate that that region has high goal-based relevance. By examining the eye movements of multiple expert observers, we may start to characterise features of the moving video stimulus that are predictive of events likely to be judged as suspicious.

[1]  T. Troscianko,et al.  What Happens Next? The Predictability of Natural Behaviour Viewed through CCTV Cameras , 2004, Perception.

[2]  J. Findlay,et al.  Active Vision: The Psychology of Looking and Seeing , 2003 .

[3]  Michael F. Land,et al.  From eye movements to actions: how batsmen hit the ball , 2000, Nature Neuroscience.

[4]  Jillian H. Fecteau,et al.  Salience, relevance, and firing: a priority map for target selection , 2006, Trends in Cognitive Sciences.

[5]  M. Hayhoe,et al.  In what ways do eye movements contribute to everyday activities? , 2001, Vision Research.

[6]  Alex O. Holcombe,et al.  Tracking the changing features of multiple objects: Progressively poorer perceptual precision and progressively greater perceptual lag , 2008, Vision Research.

[7]  B. Tatler,et al.  Steering with the head The visual strategy of a racing driver , 2001, Current Biology.

[8]  B. Scholl,et al.  PSYCHOLOGICAL SCIENCE Research Article ATTENTIVE TRACKING OF OBJECTS VERSUS SUBSTANCES , 2022 .

[9]  M F Land,et al.  The knowledge base of the oculomotor system. , 1997, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[10]  Walter Schneider,et al.  Controlled and Automatic Human Information Processing: 1. Detection, Search, and Attention. , 1977 .

[11]  A. H. TICKNER,et al.  Monitoring up to 16 Synthetic Television Pictures Showing a Great Deal of Movement. , 1973, Ergonomics.

[12]  G. Alvarez,et al.  How many locations can be selected at once? , 2007, Journal of experimental psychology. Human perception and performance.

[13]  M. Land Motion and vision: why animals move their eyes , 1999, Journal of Comparative Physiology A.

[14]  A. Treisman,et al.  A feature-integration theory of attention , 1980, Cognitive Psychology.

[15]  Z W Pylyshyn,et al.  Tracking multiple independent targets: evidence for a parallel tracking mechanism. , 1988, Spatial vision.

[16]  Z. Pylyshyn,et al.  Tracking Multiple Items Through Occlusion: Clues to Visual Objecthood , 1999, Cognitive Psychology.

[17]  M. Land,et al.  The Roles of Vision and Eye Movements in the Control of Activities of Daily Living , 1998, Perception.

[18]  Kyle R. Cave,et al.  Costs in Searching for Two Targets: Dividing Search Across Target Types Could Improve Airport Security Screening , 2007 .

[19]  C. Koch,et al.  A saliency-based search mechanism for overt and covert shifts of visual attention , 2000, Vision Research.

[20]  Jean Underwood,et al.  Visual attention while driving: sequences of eye fixations made by experienced and novice drivers , 2003, Ergonomics.

[21]  M. Hayhoe Vision Using Routines: A Functional Account of Vision , 2000 .

[22]  George A Alvarez,et al.  How many objects can you track? Evidence for a resource-limited attentive tracking mechanism. , 2007, Journal of vision.

[23]  D. Ballard,et al.  Eye movements in natural behavior , 2005, Trends in Cognitive Sciences.

[24]  R. Shiffrin,et al.  Controlled and automatic human information processing: I , 1977 .