The CSSS microworld simulates the task of a closed-circuit television (CCTV) operator responsible for monitoring multiple CCTV feeds in the context of security surveillance. Operators must manage the display of multiple CCTV feeds, monitor the feeds for critical incidents, and then report detected incidents. The microworld can be used for human factors research, interface design, training and personnel selection, and systems engineering. We present a use case of the CSSS microworld to identify the best predictors of CCTV performance. Our results show that the Automated Operation Span and inattentional blindness tests can predict both CSSS detection rate and false alarms, suggesting that these instruments have the potential for quickly assessing the surveillance competency of candidates. This use case illustrates how the CSSS platform may prove to be useful in the selection of personnel for CCTV operator roles.
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References
1.
AtreyP. K.El SaddikA.KankanhalliM. S. (2011). Effective multimedia surveillance using a human-centric approach. Multimedia Tools and Applications, 51, 697–721.
2.
BrehmerB.DörnerD. (1993). Experiments with computer-simulated microworlds: Escaping both the narrow straits of the laboratory and the deep blue sea of the field study. Computers in Human Behavior, 9, 171– 184.
3.
DadashiN.StedmonA. W.PridmoreT. P. (2013). Semi-automated CCTV surveillance: The effects of system confidence, system accuracy and task complexity on operator vigilance, reliance and workload. Applied Ergonomics, 44, 730–738.
4.
DonaldF. M. (2010). A model of CCTV surveillance operator performance. Ergonomics SA, 22, 2–13.
5.
DonaldF.DonaldC.ThatcherA. (2015). Work exposure and vigilance decrements in closed circuit television surveillance. Applied Ergonomics, 47, 220–228.
6.
DufourJ.-Y. (Ed.). (2013). Intelligent video surveillance systems. Hoboken, NJ: John Wiley & Sons.
7.
EdgarG.EdgarH. (2007). Using signal detection theory to measure situation awareness: The technique, the tool (QUASA), the test, the way forward. In CookM. J.NoyesJ. M.MasakowskiY. (Eds.), Decision making in complex environments (pp. 373–385). Aldershot: Ashgate.
8.
EngleR. W.KaneM. J. (2004). Executive attention, working memory capacity and two-factor theory of cognitive control. In RossB. (Ed.), The psychology of learning and motivation (pp. 145–199). NY: Elsevier.
9.
FigueroaI. J.YoumansR. J.ShawT. H. (2014). Cognitive flexibility and sustained attention: See something, say something (even when it’s not there). Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 58, 954–958.
10.
GelernterJ. (2013). Effective threat detection for surveillance. Proceedings of the IEEE International Conference on Technologies for Homeland Security, 8, 290–296.
11.
GonzalezC. A.FigueroaI. J.BellowsB.RhodesJ.YoumansR. Y. (2013). A new behavioral measure of cognitive flexibility. Proceedings of the 15th Annual Human Computer Interaction International Conference, 8019, 297–306.
12.
HartS. G.StavelandL. E. (1988). Development of NASA-TLX (Task Load Index): Results of empirical and theoretical research. In HancockP. A.MeshkatiN. (Eds.), Advances in psychology (Vol. 52, pp. 139–183). Amsterdam, The Netherlands: North-Holland.
13.
HeltonW. S. (2004). Validation of a short stress state questionnaire. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 48, 1238–1242.
14.
HollnagelE.WoodsD. D. (2005). Joint cognitive systems: Foundations of cognitive systems engineering. Boca Raton, FL: CRC Press.
KleinH. J.WessonM. J.HollenbeckJ. R.WrightP. M.DeShonR. P. (2001). The assessment of goal commitment: A measurement model meta-analysis. Organizational Behavior and Human Decision Processes, 85, 32–55.
17.
LuckS. J.VogelE. K. (1997). The capacity of visual working memory for features and conjunctions. Nature, 390, 279–281.
18.
MiyakeA.FriedmanN. P.EmersonM. J.WitzkiA. H.HowerterA.WagerT. D. (2000). The unity and diversity of executive functions and their contributions to complex "Frontal Lobe" tasks: A latent variable analysis. Cognitive Psychology, 41, 49–100.
19.
NäsholmE.RohlfingS.SauerJ. D. (2014). Pirate stealth or inattentional blindness? The effects of target relevance and sustained attention on security monitoring for experienced and naïve operators. PLoS ONE, 9, e86157.
20.
PelletierS.SussJ.VachonF.TremblayS. (2015). Atypical visual display for monitoring multiple CCTV feeds. Proceedings of the Annual ACM Conference on Human Factors in Computing Systems (CHI'15), 33, 1145-1150.
21.
PizaE.CaplanJ. M.KennedyL. W.GilchristA. M. (2015). The effects of merging proactive CCTV monitoring with directed police patrol: A randomized controlled trial. Journal of Experimental Criminology11, 43–69.
22.
RégisN.DehaisF.RachelsonE.ThoorisC.PizziolS.CausseM.TessierC. (2014). Formal detection of attentional tunneling in human operator-automation interactions. IEEE Transactions on Human- Machine Systems, 44, 326–336.
23.
SeegmillerJ. K.WatsonJ. M.StrayerD. L. (2011). Individual differences in susceptibility to inattentional blindness. Journal of Experimental Psychology: Learning, Memory, and Cognition, 37, 785–791.
24.
SimonsD. J.ChabrisC. F. (1999). Gorillas in our midst: Sustained inattentional blindness for dynamic events. Perception, 28, 1059–1074.
25.
StainerM. J.Scott-BrownK. C.TatlerB. (2013). Looking for trouble: A description of oculomotor search strategies during live CCTV operation. Frontiers in Human Neuroscience, 7, 615.
26.
TicknerB. A. H.PoultonE. C.CopemanA. K.SimmondsD. C. V. (1972). Monitoring 16 television screens showing little movement. Ergonomics, 15, 279–291.
27.
UnsworthN.HeitzR. P.SchrockJ. C.EngleR. W. (2005). An automated version of the operation span task. Behavior Research Methods, 37, 498–505.
28.
VachonF.VallièresB. R.JonesD. M.TremblayS. (2012). Nonexplicit change detection in complex dynamic settings: What eye movements reveal. Human Factors, 54, 996–1007.
29.
van VoorthuijsenG.van HoofH.KlimaM.RoubikK.BernasM.PataP. (2005). CCTV effectiveness study. Proceedings of the International Carnahan Conference on Security Technology, 39, 105–108.
