Effects of working memory, attention, and expertise on pilots' situation awareness

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Date

2020

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Springer London Ltd

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Software Engineering
(2005)
Department of Software Engineering was founded in 2005 as the first department in Ankara in Software Engineering. The recent developments in current technologies such as Artificial Intelligence, Machine Learning, Big Data, and Blockchains, have placed Software Engineering among the top professions of today, and the future. The academic and research activities in the department are pursued with qualified faculty at Undergraduate, Graduate and Doctorate Degree levels. Our University is one of the two universities offering a Doctorate-level program in this field. In addition to focusing on the basic phases of software (analysis, design, development, testing) and relevant methodologies in detail, our department offers education in various areas of expertise, such as Object-oriented Analysis and Design, Human-Computer Interaction, Software Quality Assurance, Software Requirement Engineering, Software Design and Architecture, Software Project Management, Software Testing and Model-Driven Software Development. The curriculum of our Department is catered to graduate individuals who are prepared to take part in any phase of software development of large-scale software in line with the requirements of the software sector. Department of Software Engineering is accredited by MÜDEK (Association for Evaluation and Accreditation of Engineering Programs) until September 30th, 2021, and has been granted the EUR-ACE label that is valid in Europe. This label provides our graduates with a vital head-start to be admitted to graduate-level programs, and into working environments in European Union countries. The Big Data and Cloud Computing Laboratory, as well as MobiLab where mobile applications are developed, SimLAB, the simulation laboratory for Medical Computing, and software education laboratories of the department are equipped with various software tools and hardware to enable our students to use state-of-the-art software technologies. Our graduates are employed in software and R&D companies (Technoparks), national/international institutions developing or utilizing software technologies (such as banks, healthcare institutions, the Information Technologies departments of private and public institutions, telecommunication companies, TÜİK, SPK, BDDK, EPDK, RK, or universities), and research institutions such TÜBİTAK.

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Abstract

The current study investigates individual differences that predict situation awareness (SA) in professional pilots. The aim of the study is twofold: to examine the roles of divided attention, inhibition, working memory, and expertise in predicting SA, and to demonstrate the relative contributions of these individual differences to online (Situation Awareness Present Method, SPAM) and offline (Situation Awareness Global Assessment Technique, SAGAT) SA measures. Thirty-six professional pilots completed a challenging flight scenario in a full-flight simulator. Divided attention, inhibition, working memory span, and expertise were measured using choice reaction time with dichotic listening, Stroop, and Automated Operation Span tasks, and flight hours in a full-flight simulator, respectively. Results indicated that offline and online SA measure were not correlated, supporting their concurrent use to obtain a comprehensive measure of SA. Offline SA scores were best predicted by working memory and level of expertise, while online SA scores were predicted by expertise, divided attention and inhibition. Results are discussed focusing on both theoretical contributions for defining and measuring SA and applications. Findings have implications for operators of critical domains and their interactions with automated systems, in which SA is crucial for performance and safety.

Description

Say, Bilge/0000-0001-9276-729X

Keywords

Situation awareness, SAGAT, SPAM, Individual differences, Working memory, Divided attention, Inhibition, Expertise

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Citation

25

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Q3

Scopus Q

Q2

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Volume

22

Issue

1

Start Page

85

End Page

94

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