Aptitude Requirements for Human Operators in Human–Automation Interaction

Abstract

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.