CCTV: A challenging case for threat image projection implementation

This study examines an intervention aimed at improving the detection rates of closed circuit television (CCTV) operators during real-time surveillance. The intervention consists of electronically inserting graphic objects (IGOs) into video stream with the intention of assisting operators in detecting actual significant events. It is based on threat image projection (TIP) that has been used to heighten the performance of X-ray baggage screeners. Seventy-three participants observed a 90-min CCTV video from an industrial plant, showing both normal work activity and significant events. The control group received no IGOs, one treatment group received generic IGOs, and the second treatment group received IGOs with small semantic distances to target behaviours. There were indications that the IGOs had positive effects on alertness and attention sets, but this was not statistically significant. Reasons for this are discussed in terms of differences between the CCTV and baggage screening or TIP contexts.

[1]  Siné McDougall,et al.  What’s in a name? The role of graphics, functions, and their interrelationships in icon identification , 2009, Behavior research methods.

[2]  T. Foulsham,et al.  Quarterly Journal of Experimental Psychology: in press Visual saliency and semantic incongruency influence eye movements when , 2022 .

[3]  Fiona Donald A model of CCTV surveillance operator performance , 2010 .

[4]  P. de Graef,et al.  Perceptual effects of scene context on object identification , 1990, Psychological research.

[5]  H. Wells,et al.  Crime and CCTV in Australia: Understanding the Relationship , 2006 .

[6]  M. Bravo,et al.  Object recognition in dense clutter , 2006, Perception & psychophysics.

[7]  Glyn W Humphreys,et al.  Dissociating the effects of similarity, salience, and top-down processes in search for linearly separable size targets , 2006, Perception & psychophysics.

[8]  C. Koch,et al.  Task-demands can immediately reverse the effects of sensory-driven saliency in complex visual stimuli. , 2008, Journal of vision.

[9]  Michael L. Mack,et al.  VISUAL SALIENCY DOES NOT ACCOUNT FOR EYE MOVEMENTS DURING VISUAL SEARCH IN REAL-WORLD SCENES , 2007 .

[10]  Robert R. Mackie,et al.  Countering loss of vigilance in sonar watchstanding using signal injection and performance feedback , 1994 .

[11]  S. Yantis,et al.  Visual attention: control, representation, and time course. , 1997, Annual review of psychology.

[12]  Simon Folkard,et al.  Searching for signs, symbols, and icons: effects of time of day, visual complexity, and grouping. , 2006, Journal of experimental psychology. Applied.

[13]  Martina Angela Sasse,et al.  “Not the Usual Suspects”: A study of factors reducing the effectiveness of CCTV , 2008 .

[14]  M. Wogalter,et al.  Comprehension and retention of safety pictorials , 1997 .

[15]  Gerry Mulhern,et al.  Confounds in pictorial sets: The role of complexity and familiarity in basic-level picture processing , 2008, Behavior research methods.

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

[17]  Edward Brailsford Bright,et al.  THE INSTITUTION OF ELECTRICAL ENGINEERS , 2012 .

[18]  Mica R. Endsley,et al.  Theoretical Underpinnings of Situation Awareness, A Critical Review , 2000 .

[19]  P. Cavanagh,et al.  FACIAL ORGANIZATION BLOCKS ACCESS TO LOW-LEVEL FEATURES: AN OBJECT INFERIORITY EFFECT , 1995 .

[20]  A Treisman,et al.  Feature analysis in early vision: evidence from search asymmetries. , 1988, Psychological review.

[21]  L. G. Doak,et al.  The role of pictures in improving health communication: a review of research on attention, comprehension, recall, and adherence. , 2006, Patient education and counseling.

[22]  Victoria Cutler,et al.  Use of threat image projection (TIP) to enhance security performance , 2009, 43rd Annual 2009 International Carnahan Conference on Security Technology.

[23]  Janet M. Noyes,et al.  People in control: human factors in control room design , 2001 .

[24]  Bradley E. Huitema,et al.  Effects of Signal Probability on Individual Differences in Vigilance , 1998, Hum. Factors.

[25]  M. Loeb,et al.  The Psychology of Vigilance , 1982 .

[26]  R. D. Gordon Attentional allocation during the perception of scenes. , 2004, Journal of experimental psychology. Human perception and performance.

[27]  Derrick J. Parkhurst,et al.  Modeling the role of salience in the allocation of overt visual attention , 2002, Vision Research.

[28]  Allen Allport,et al.  Visual attention , 1989 .

[29]  R. Dowse,et al.  Written medicines information for South African HIV/AIDS patients: does it enhance understanding of co-trimoxazole therapy? , 2006, Health education research.

[30]  G. J. Smith,et al.  Behind the Screens: Examining Constructions of Deviance and Informal Practices among CCTV Control Room Operators in the UK , 2002 .

[31]  Mica R. Endsley,et al.  Toward a Theory of Situation Awareness in Dynamic Systems , 1995, Hum. Factors.

[32]  R. Rosenholtz A simple saliency model predicts a number of motion popout phenomena , 1999, Vision Research.

[33]  Martin B. Curry,et al.  Icon Identification in Context: The Changing Role of Icon Characteristics With User Experience , 2007, Hum. Factors.

[34]  Toby J. Lloyd-Jones,et al.  Effects of plane rotation, task, and complexity on recognition of familiar and chimeric objects , 2002, Memory & cognition.

[35]  W. Cowan,et al.  Visual search for colour targets that are or are not linearly separable from distractors , 1996, Vision Research.

[36]  A. H. Tickner,et al.  Monitoring 16 Television Screens Showing Little Movement , 1972 .

[37]  Michael D. Byrne,et al.  Using icons to find documents: simplicity is critical , 1993, INTERCHI.

[38]  Robert M. McPeek,et al.  Saccades require focal attention and are facilitated by a short-term memory system , 1999, Vision Research.

[39]  M. Gill,et al.  Assessing the impact of CCTV , 2005 .

[40]  Jodi L. Davenport,et al.  Scene Consistency in Object and Background Perception , 2004, Psychological science.

[41]  Daniel J. Garland,et al.  Situation Awareness Analysis and Measurement , 2009 .

[42]  F. Hamker,et al.  About the influence of post-saccadic mechanisms for visual stability on peri-saccadic compression of object location. , 2008, Journal of vision.

[43]  David Gittins,et al.  Icon-Based Human-Computer Interaction , 1986, Int. J. Man Mach. Stud..

[44]  Robert T. Wilkinson,et al.  ARTIFICIAL ‘ SIGNALS’ AS AN AID TO AN INSPECTION TASK , 1964 .

[45]  M. Kenward,et al.  Small sample inference for fixed effects from restricted maximum likelihood. , 1997, Biometrics.

[46]  F Hofer,et al.  Using threat image projection data for assessing individual screener performance , 2005 .

[47]  M. Castelhano,et al.  The relative contribution of scene context and target features to visual search in scenes , 2010, Attention, perception & psychophysics.

[48]  J. Henderson,et al.  Prioritization of new objects in real-world scenes: evidence from eye movements. , 2005, Journal of experimental psychology. Human perception and performance.

[49]  A Zar,et al.  THREAT IMAGE PROJECTION: APPLIED SIGNAL DETECTION FOR AVIATION SECURITY. IN: ENGINEERING PSYCHOLOGY AND COGNITIVE ERGONOMICS. VOLUME SIX. INDUSTRIAL ERGONOMICS, HCI, AND APPLIED COGNITIVE PSYCHOLOGY , 2001 .

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

[51]  C. Wickens,et al.  Applied Attention Theory , 2007 .

[52]  C. H. Baker Maintaining the level of vigilance by means of artificial signals. , 1960 .

[53]  David Neil,et al.  Threat Image Projection in CCTV , 2007, 2007 41st Annual IEEE International Carnahan Conference on Security Technology.

[54]  P. Perona,et al.  Why does natural scene categorization require little attention? Exploring attentional requirements for natural and synthetic stimuli , 2005 .

[55]  Michael S. Wogalter,et al.  WARNING! Sign and Label Effectiveness , 1996 .

[56]  P. Cavanagh,et al.  Effect of surface medium on visual search for orientation and size features , 1990 .

[57]  Steven B. Most,et al.  What you see is what you set: sustained inattentional blindness and the capture of awareness. , 2005, Psychological review.

[58]  H. Egeth,et al.  Attention on autopilot: Past experience and attentional set , 2006 .

[59]  Simon P Liversedge,et al.  Change blindness and the primacy of object appearance , 2006, Psychonomic bulletin & review.

[60]  S Ullman,et al.  Shifts in selective visual attention: towards the underlying neural circuitry. , 1985, Human neurobiology.

[61]  John M Henderson,et al.  Stable individual differences across images in human saccadic eye movements. , 2008, Canadian journal of experimental psychology = Revue canadienne de psychologie experimentale.

[62]  Charles L. Folk,et al.  The structure of attentional control: contingent attentional capture by apparent motion, abrupt onset, and color , 1994 .

[63]  Oscar de Bruijn,et al.  The effects of visual information on users' mental models: an evaluation of pathfinder analysis as a measure of icon usability. , 2001 .

[64]  J Theeuwes,et al.  Visual selective attention: a theoretical analysis. , 1993, Acta psychologica.

[65]  J. Henderson,et al.  The effects of semantic consistency on eye movements during complex scene viewing , 1999 .

[66]  Martin B. Curry,et al.  Measuring symbol and icon characteristics: Norms for concreteness, complexity, meaningfulness, familiarity, and semantic distance for 239 symbols , 1999, Behavior research methods, instruments, & computers : a journal of the Psychonomic Society, Inc.

[67]  M. Klima,et al.  CCTV effectiveness study , 2005, Proceedings 39th Annual 2005 International Carnahan Conference on Security Technology.

[68]  Kay M. Stanney,et al.  The Effect of Pictogram-Based Interface Design on Human-Computer Performance , 1997, Int. J. Hum. Comput. Interact..

[69]  Mark C. Detweiler,et al.  Iconic Reference: Evolving Perspectives and an Organizing Framework , 1993, Int. J. Man Mach. Stud..