Technological innovation in the aviation context poses increasing pressure on the human element, which is a key element for complex socio-technical systems. This reinforces the importance of considering human factors as central aspect of innovative technological transitions. The present work responds to an increasing need of tools to support systems’ design and evaluation activities to ultimately optimise human performance. The main aim of the present work was to develop a mediation classification capable of supporting the understanding of the impact of a system or function on human performance. A Mediated Support Taxonomy was developed building upon on augmented reality, teleoperation and automation classifications and applied in two different case studies. Both case studies involved human performance assessment of flight path management and navigation applications, one in flight deck context (ALICIA project) and other in Remotely Piloted Aircraft Systems applications (RAID demonstration activity). The application of the Mediated Support Taxonomy within the two previous case studies allowed to consolidate the taxonomy itself and to gather human performance benefits, issues and respective mitigations related to the different classification categories. The present Taxonomy was deemed useful to perform the comparison of different applications providing different types of mediated support. The identification of human performance benefits and issues according to the different classification categories is helpful to understand the source of some of the issues and how to mitigate them.

Understanding the impact of mediated support on human performance: a taxonomy to study human-machine interaction in flight path management applications / BARRADAS VICENTE FERREIRA, ANA LUISA. - (2017).

Understanding the impact of mediated support on human performance: a taxonomy to study human-machine interaction in flight path management applications

Ana Luísa Barradas Vicente Ferreira
2017

Abstract

Technological innovation in the aviation context poses increasing pressure on the human element, which is a key element for complex socio-technical systems. This reinforces the importance of considering human factors as central aspect of innovative technological transitions. The present work responds to an increasing need of tools to support systems’ design and evaluation activities to ultimately optimise human performance. The main aim of the present work was to develop a mediation classification capable of supporting the understanding of the impact of a system or function on human performance. A Mediated Support Taxonomy was developed building upon on augmented reality, teleoperation and automation classifications and applied in two different case studies. Both case studies involved human performance assessment of flight path management and navigation applications, one in flight deck context (ALICIA project) and other in Remotely Piloted Aircraft Systems applications (RAID demonstration activity). The application of the Mediated Support Taxonomy within the two previous case studies allowed to consolidate the taxonomy itself and to gather human performance benefits, issues and respective mitigations related to the different classification categories. The present Taxonomy was deemed useful to perform the comparison of different applications providing different types of mediated support. The identification of human performance benefits and issues according to the different classification categories is helpful to understand the source of some of the issues and how to mitigate them.
2017
Patrizia Marti
BARRADAS VICENTE FERREIRA, ANA LUISA
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1101991
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