A first exploratory study on the relevance of everyday object knowledge and training for increasing efficiency in airport security X-ray screening

Secure air transportation is vital for economy and society and it relies heavily on airport security screening. Passenger bags and other belongings are screened using X-ray machines to ensure that they do not contain prohibited items. Human operators (X-ray screeners) visually inspect X-ray images to decide whether they are harmless or whether they might contain a prohibited item and therefore require secondary search (typically using manual search and/or explosive trace detection technology). Several previous studies have shown that learning which items are prohibited and what they look like in X-ray images of passenger bags is important to achieve good detection performance. As passenger bags contain a large variety of harmless everyday objects, it could be assumed that knowing what such objects look like in X-ray images could help X-ray screeners to work more efficiently by reducing false alarms (i.e. sending a passenger bag to secondary search even though it does not contain a prohibited item). In the first experiment, the relationship between knowledge of harmless everyday objects and false alarm rate was investigated with 15 certified X-ray screeners of one large European airport. Statistical analyses revealed a good knowledge of harmless everyday objects on average with some variation between X-ray screeners and a negative correlation with false alarm rate. In the second experiment, the effectiveness of an e-learning course for acquiring knowledge of everyday objects in X-ray images was evaluated. Thirty novices conducted a test-retest experiment where half of the participants conducted an e-learning course about harmless everyday objects in X-ray images between the two tests. The results revealed that e-learning can be an effective and efficient method for increasing the knowledge of everyday objects in X-ray images. Based on the results of both studies, the relevance to learn everyday objects as part of initial and recurrent training of X-ray screeners is discussed.

[1]  A. Schwaninger,et al.  Adaptive Computer-Based Training Increases on the Job Performance of X-Ray Screeners , 2007, 2007 41st Annual IEEE International Carnahan Conference on Security Technology.

[2]  Adrian Schwaninger,et al.  Evaluation of CBT for increasing threat detection performance in X-ray screening , 2004 .

[3]  Denis Cousineau,et al.  Outliers detection and treatment: a review , 2010 .

[4]  Adrian Schwaninger,et al.  Human-machine interaction in x-ray screening , 2009, 43rd Annual 2009 International Carnahan Conference on Security Technology.

[5]  Yanik Sterchi,et al.  A first simulation on optimizing EDS for cabin baggage screening regarding throughput , 2015, 2015 International Carnahan Conference on Security Technology (ICCST).

[6]  Adrian Schwaninger.  Training of airport security screeners , 2003 .

[7]  Adrian Schwaninger,et al.  Increasing X-ray image interpretation competency of cargo security screeners , 2014 .

[8]  Jacob Cohen,et al.  A power primer. , 1992, Psychological bulletin.

[9]  O. Wetter,et al.  Imaging in airport security: Past, present, future, and the link to forensic and clinical radiology , 2013 .

[10]  F. Mannering,et al.  Airport Security Screening and Changing Passenger Satisfaction: An Exploratory Assessment , 2006 .

[11]  Diana Hardmeier,et al.  The role of recurrent CBT for increasing aviation security screeners’ visual knowledge and abilities needed in x-ray screening , 2006 .

[12]  D. M. Green,et al.  Signal detection theory and psychophysics , 1966 .

[13]  Diana Hardmeier,et al.  Investigating training, transfer and viewpoint effects resulting from recurrent CBT of X-Ray image interpretation , 2008 .

[14]  Adrian Schwaninger,et al.  Airport Security Screener Competency: A Cross-Sectional and Longitudinal Analysis , 2013 .

[15]  Colin G Drury,et al.  Change of search time and non-search time in X-ray baggage screening due to training , 2009, Ergonomics.

[16]  A. Schwaninger,et al.  The X-ray object recognition test (X-ray ORT) - a reliable and valid instrument for measuring visual abilities needed in X-ray screening , 2005, Proceedings 39th Annual 2005 International Carnahan Conference on Security Technology.

[17]  K Wells,et al.  A review of X-ray explosives detection techniques for checked baggage. , 2012, Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine.

[18]  Diana Hardmeier,et al.  Increased detection performance in airport security screening using the x - ray ort as pre - employm , 2006 .

[19]  A. Schwaninger,et al.  Computer-Based Training Increases Efficiency in X-Ray Image Interpretation by Aviation Security Screeners , 2007, 2007 41st Annual IEEE International Carnahan Conference on Security Technology.

[20]  Adrian Schwaninger,et al.  Increasing Efficiency In Airport Security Screening , 2004, WIT Transactions on The Built Environment.

[21]  Adrian Schwaninger,et al.  Airport security human factors: From the weakest to the strongest link in airport security screening. , 2006 .