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Constraint analysis for aircraft landing in distributed crewing contexts

Constraint analysis for aircraft landing in distributed crewing contexts
Constraint analysis for aircraft landing in distributed crewing contexts
The aim of this paper is to analyze human factors related and methodological constraints that prevent the distributed crewing or single pilot operational concept to be pushed forward in commercial aviation. First, it has been argued that alternatives for current commercial flight operations are not necessarily constrained by technology, but by the human factors characteristics of the socio-technical systems enabling these operations. In this paper, we present a constraint analysis of the landing phase of flight (both manual and automatic) using Cognitive Work Analysis (CWA). Given that CWA enables linking constraints related to human and non-human elements of the system and their interactions, CWA supports exploring systemic design solutions for distributed crewing operation. We argue that automatic landing calls for designing for distributed situational awareness, whereas manual landing calls for designing novel human roles in the overall system. Second, distributed crewing concept is being researched by several research groups simultaneously and with various methodologies, including expert interviews, semi-structured task analysis, experiments, policy and historical analysis. In the second half of the paper we argue that successfully progressing towards distributed crewing will require collaboration between research groups and integrating findings obtained with mixed methods. We explore strategies for mixed-method integration in the context of designing distributed crewing operations.
2351-9789
2682-2689
Varga, Judit
fbb661e5-b910-4974-a1b5-6a833c716b40
Iacob, Claudia
148f925e-77e7-44e7-ad39-7597a05fe929
Grote, Matthew
f29566f9-42a7-498a-9671-8661a4287754
Stanton, Neville
351a44ab-09a0-422a-a738-01df1fe0fadd
Varga, Judit
fbb661e5-b910-4974-a1b5-6a833c716b40
Iacob, Claudia
148f925e-77e7-44e7-ad39-7597a05fe929
Grote, Matthew
f29566f9-42a7-498a-9671-8661a4287754
Stanton, Neville
351a44ab-09a0-422a-a738-01df1fe0fadd

Varga, Judit, Iacob, Claudia, Grote, Matthew and Stanton, Neville (2015) Constraint analysis for aircraft landing in distributed crewing contexts. Procedia Manufacturing, 3, 2682-2689. (doi:10.1016/j.promfg.2015.07.658).

Record type: Article

Abstract

The aim of this paper is to analyze human factors related and methodological constraints that prevent the distributed crewing or single pilot operational concept to be pushed forward in commercial aviation. First, it has been argued that alternatives for current commercial flight operations are not necessarily constrained by technology, but by the human factors characteristics of the socio-technical systems enabling these operations. In this paper, we present a constraint analysis of the landing phase of flight (both manual and automatic) using Cognitive Work Analysis (CWA). Given that CWA enables linking constraints related to human and non-human elements of the system and their interactions, CWA supports exploring systemic design solutions for distributed crewing operation. We argue that automatic landing calls for designing for distributed situational awareness, whereas manual landing calls for designing novel human roles in the overall system. Second, distributed crewing concept is being researched by several research groups simultaneously and with various methodologies, including expert interviews, semi-structured task analysis, experiments, policy and historical analysis. In the second half of the paper we argue that successfully progressing towards distributed crewing will require collaboration between research groups and integrating findings obtained with mixed methods. We explore strategies for mixed-method integration in the context of designing distributed crewing operations.

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e-pub ahead of print date: 23 October 2015
Published date: 2015

Identifiers

Local EPrints ID: 422708
URI: http://eprints.soton.ac.uk/id/eprint/422708
ISSN: 2351-9789
PURE UUID: aadce23d-9b22-4706-942c-04ac0c4b0edc
ORCID for Neville Stanton: ORCID iD orcid.org/0000-0002-8562-3279

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Date deposited: 31 Jul 2018 16:30
Last modified: 18 Feb 2021 17:13

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