Investigation of Human Monitoring Capabilities for Multiple Watch Windows

Due to an abundance of data and dynamic nature of tasks, challenges with information retrieval in surveillance and target identification tasks have risen in today's Intelligence, Surveillance, and Reconnaissance ISR community. In this study, two variables, Area of Coverage and Amount of Activity AOC/ACT, are manipulated to study their effects on the number of Watch Windows an observer can monitor. This research describes the analyst's task model, and explains how the level of AOC/ACT and number of Watch Windows affects the analyst's cognitive load. Results showed a significant difference in performance and physiological indicators of workload between high AOC/ACT conditions and low AOC/ACT conditions. A linear correlation was exhibited between the number of Watch Windows and the number of fixations. The results show that these variables can be manipulated in tasking to maintain appropriate levels of cognitive workload.

[1]  Suman Srinivasan,et al.  Airborne traffic surveillance systems: video surveillance of highway traffic , 2004, VSSN '04.

[2]  M. O'Mahony,et al.  DECISION STRATEGIES DETERMINED FROM THE SHAPE OF THE SAME–DIFFERENT ROC CURVE: WHAT ARE THE EFFECTS OF INCORRECT ASSUMPTIONS? , 2008 .

[3]  Nicholas Ayache,et al.  Medical Image Analysis: Progress over Two Decades and the Challenges Ahead , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[4]  Morton E. O'Kelly,et al.  IDENTIFYING TRUCK CORRESPONDENCE IN MULTI-FRAME IMAGERY , 2005 .

[5]  K. Nakayama,et al.  Stimulus discriminability in visual search , 1994, Vision Research.

[6]  Tien Pham,et al.  Intelligence, Surveillance, and Reconnaissance fusion for coalition operations , 2008, 2008 11th International Conference on Information Fusion.

[7]  Alan E. Jones,et al.  Implementing early goal-directed therapy in the emergency setting: the challenges and experiences of translating research innovations into clinical reality in academic and community settings. , 2007, Academic emergency medicine : official journal of the Society for Academic Emergency Medicine.

[8]  N. Lavie Distracted and confused?: Selective attention under load , 2005, Trends in Cognitive Sciences.

[9]  J. K. Kuchar,et al.  Study of visual cues for unmanned aerial vehicle waypoint allocation , 1999, Gateway to the New Millennium. 18th Digital Avionics Systems Conference. Proceedings (Cat. No.99CH37033).

[10]  J. P. Thomas,et al.  A signal detection model predicts the effects of set size on visual search accuracy for feature, conjunction, triple conjunction, and disjunction displays , 2000, Perception & psychophysics.

[11]  Michael Freed,et al.  Human vs. Autonomous Control of UAV Surveillance , 2004 .

[12]  Don McNicol,et al.  A Primer of Signal Detection Theory , 1976 .

[13]  J. Wixted Dual-process theory and signal-detection theory of recognition memory. , 2007, Psychological review.

[14]  Christopher D. Wickens,et al.  Using Interference Models to Predict Performance in a Multiple-Task UAV Environment - 2 UAVs , 2003 .

[15]  Heath A. Ruff,et al.  EXPLORING AUTOMATION ISSUES IN SUPERVISORY CONTROL OF MULTIPLE UAVS , 2004 .

[16]  John Roberts,et al.  Factors affecting development of a motion imagery quality metric , 2005, SPIE Defense + Commercial Sensing.

[17]  T. Sherratt,et al.  Optimal sampling and signal detection: unifying models of attention and speed–accuracy trade-offs , 2013 .

[18]  Dmitry B. Goldgof,et al.  How effective is human video surveillance performance? , 2008, 2008 19th International Conference on Pattern Recognition.

[19]  J. Palmer,et al.  Measuring the effect of attention on simple visual search. , 1993, Journal of experimental psychology. Human perception and performance.

[20]  Christopher D. Wickens,et al.  Mission Control of Multiple Unmanned Aerial Vehicles: A Workload Analysis , 2005, Hum. Factors.

[21]  David C. Banks,et al.  Analysis of eye-tracking experiments performed on a Tobii T60 , 2008, Electronic Imaging.

[22]  M. M. Moreno-Fernández,et al.  A methodological proposal based on Signal Detection Theory for the study of dissociation between sensory and decision processes in the context of olive oil tasting , 2013 .

[23]  Timothy J. Pleskac,et al.  Two-stage dynamic signal detection: a theory of choice, decision time, and confidence. , 2010, Psychological review.

[24]  P. Verghese Visual Search and Attention A Signal Detection Theory Approach , 2001, Neuron.

[25]  Pitu B. Mirchandani,et al.  Airborne Traffic Flow Data and Traffic Management , 2008 .

[26]  B. Tabachnick,et al.  Using Multivariate Statistics , 1983 .

[27]  M. O'Mahony,et al.  THE SIGNAL DETECTION THEORY ROC CURVE: SOME APPLICATIONS IN FOOD SENSORY SCIENCE , 2008 .