Document is current

Article History

Received: 21 July 2020

Accepted: 7 March 2021

First Online: 1 April 2021

Declarations

:

: All data were collected in accordance with ethical guidelines as confirmed by the Texas A&M University-San Antonio Institutional Review Board.

: All pictured individuals presented in the example stimuli provided consent to use their likeness in this publication.

: The authors declare that they have no competing interests.

: In response to various worldwide security concerns at borders and other ports of entry, professional screeners commonly restrict access of goods and services to authorized individuals who present an authentic ID card. For example, a potential traveler may produce stolen, borrowed, or inauthentic passport documents. Professional screeners need to maintain safety by identifying such imposters, while still allowing lawful passengers through. Although technological advancements such as automatic face recognition systems and various methods of biometric scanning may seem like attractive alternatives to replace human screeners, such technologies face many of the same challenges as human recognizers, while also raising concerns about ethics, transparency, and accountability. Therefore, the bulk of imposter detection duties has been and is being performed by humans. Subsequently, our experiments explore cognitive mechanisms that may underlie ID matching task performance with aims to support data-driven recommendations for pre-employment screening, policies and procedures, and job-related training for security professionals. Best practices and appropriate interventions are important to ensure stakeholder safety at security checkpoints where screening IDs is common and necessary.