Accession Number:

AD1098145

Title:

An Investigation of Aptitude Requirements for Human Operators in Human-Automation Interaction

Descriptive Note:

Technical Report,01 Oct 2018,31 Mar 2020

Corporate Author:

Infoscitex Corporation Dayton United States

Personal Author(s):

• Brady,Michael F.
• Shermadou,Zakia S.
• Gibson,Anthony
• Carretta,Thomas R.

Report Date:

2020-04-01

Pagination or Media Count:

51.0

Abstract:

The purpose of this effort was to identify individual differences that affect Airmen 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. Based on this review, we propose 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 the elements of this model. Results from the meta-analysis suggest cognitive skills such as working memory are important to performance in an HAI context. Results for personality suggest the presence of moderators. We conclude by identifying measurement challenges and research gaps.

Descriptors:

• air force personnel
• aptitudes
• human machine systems
• performance(human)
• skills
• HUMAN COMPUTER INTERFACES
• cognition
• PERSONALITY ASSESSMENT
• operators(personnel)

Subject Categories:

• Psychology
• Human Factors Engineering and Man Machine Systems

Distribution Statement:

APPROVED FOR PUBLIC RELEASE