Selection Methods for Operators of Remotely Piloted Aircraft Systems

doi:10.1002/9781118965900.ch6

Cited by 5 publications

(1 citation statement)

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“…The strong predictive validity of cognitive ability for HAI is consistent with studies of aircrew (Carretta, 2008; Carretta & Ree, 2003; Carretta et al, 2017), other military jobs (Carretta et al, 2016), and the broader occupational performance literature (Schmidt & Hunter, 1998). Few studies of HAI included measures of GMA, instead focusing on specific cognitive abilities, such as WM.…”

Section: Discussionsupporting

confidence: 74%

Aptitude Requirements for Human Operators in Human–Automation Interaction

Brady¹,

Carretta

Shermadou³

et al. 2022

Aviation Psychology and Applied Human Factors

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Abstract. The purpose of this work was to identify individual differences that affect aptitude requirements for jobs involving autonomous systems and human–automation interaction (HAI). This was addressed in two stages. First, we conducted a literature review of task demands and operator states relevant to HAI. On the basis of this review, we formed a model for understanding performance as a composite of operator states, operator behaviors, and distal outcomes. Second, we conducted a meta-analysis of correlations between individual differences and criteria reflecting job demands of an HAI environment. Results suggest cognitive skills such as working memory are important to performance in an HAI context. Inconsistent findings for personality across studies underscore the need for more research. Measurement challenges and research gaps are identified.

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