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2003•Unpublished venueRequires access

AUTOMATION AND HUMAN PERFORMANCE IN AVIATION. IN: PRINCIPLES AND PRACTICE OF AVIATION PSYCHOLOGY

Raja Parasuraman, EVAN A. BYRNE

Open publisher page 3 citations

Abstract

Reviewed is the research on human performance in automated systems in relation to applications in aviation. Also analyzed is a number of aviation incidents and accidents that have been associated with automation usage. Identified are several factors that appear to contribute to effective human-automation interaction. They include: identifying types of information processing to which automation is applied; choosing the appropriate level of automation; making automation state indicators and behaviors salient and understandable; calibrating operator trust in automation; balancing operator mental workload; and considering dynamic funtion allocation, or adaptiva automation.

About this research paper

What this paper is about

Reviewed is the research on human performance in automated systems in relation to applications in aviation. Also analyzed is a number of aviation incidents and accidents that have been associated with automation usage. Identified are several factors that appear to contribute to effective human-automation interaction. They include: identifying types of information processing to which automation is applied; choosing the appropriate level of automation; making automation state indicators and behaviors salient and understandable; calibrating operator trust in automation; balancing operator mental workload; and considering dynamic funtion allocation, or adaptiva automation.

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OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Reviewed is the research on human performance in automated systems in relation to applications in aviation. Also analyzed is a number of aviation incidents and accidents that have been associated with automation usage. Identified are several factors that appear to contribute to effective human-automation interaction. They include: identifying types of information processing to which automation is applied; choosing the appropriate level of automation; making automation state indicators and behaviors salient and understandable; calibrating operator trust in automation; balancing operator mental workload; and considering dynamic funtion allocation, or adaptiva automation.

Key concepts: Automation, Aviation, Workload, Situation awareness, Engineering, Relation (database), Aviation engineering, Computer science

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AUTOMATION AND HUMAN PERFORMANCE IN AVIATION. IN: PRINCIPLES AND PRACTICE OF AVIATION PSYCHOLOGY — Research Paper | ScholarLens