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      Automation transparency and the design of intelligent aircraft engine interfaces

      Published
      proceedings-article
      , ,
      35th International BCS Human-Computer Interaction Conference (HCI2022)
      Towards a Human-Centred Digital Society
      July 11th to 13th, 2022
      Intelligent systems, aviation, automation transparency, aircraft engine
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            Abstract

            In this article we report progress on a programme of research to implement intelligent engine systems in civil aircraft. Modern turbofan engines capture data about their performance and health during flight. Until now, this information has remained hidden from the flight deck. Our research will examine how best to communicate these new information sources to the flight deck to deliver intelligent assistance in understanding engine health and offering choices to minimise disruption should an engine develop a fault that affects performance. We have adopted automation transparency as a key design pillar to ensure that flight crew have an appropriate understanding of the reasoning of the intelligent system under different operating conditions. User-centred design will inform the degree to which the different interface elements are transparent, informing the balance between the provision of information necessary to ensure safe and efficient performance. Currently, there is significant uncertainty as to whether automation transparency can confer a performance advantage in all cases. Our research will empirically investigate different levels of automation transparency to validate performance.

            Content

            Author and article information

            Contributors
            Conference
            July 2022
            July 2022
            : 1-5
            Affiliations
            [0001]Cranfield University

            Cranfield Safety and Accident Investigation Centre

            College Road

            Cranfield, Bedfordshire

            MK43 0AL
            Article
            10.14236/ewic/HCI2022.40
            c081fc59-5fc7-44fa-844c-ac1241f276bc
            © Nixon et al. Published by BCS Learning & Development. Proceedings of the 35th British HCI and Doctoral Consortium 2022, UK

            This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

            35th International BCS Human-Computer Interaction Conference
            HCI2022
            35
            Keele, Staffordshire
            July 11th to 13th, 2022
            Electronic Workshops in Computing (eWiC)
            Towards a Human-Centred Digital Society
            History
            Product

            1477-9358 BCS Learning & Development

            Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/HCI2022.40
            Self URI (journal page): https://ewic.bcs.org/
            Categories
            Electronic Workshops in Computing

            Applied computer science,Computer science,Security & Cryptology,Graphics & Multimedia design,General computer science,Human-computer-interaction
            aviation,aircraft engine,automation transparency,Intelligent systems

            REFERENCES

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            11. Rajabiyazdi, F., & Jamieson, G. A. (2020). A Review of Transparency (seeing-into) Models. 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 302–308. https://doi.org/10.1109/SMC42975.2020.9282970

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            13. van de Merwe, K., Mallam, S., & Nazir, S. (2022). Agent Transparency, Situation Awareness, Mental Workload, and Operator Performance: A Systematic Literature Review. Human Factors: The Journal of the Human Factors and Ergonomics Society, 001872082210778. https://doi.org/10.1177/00187208221077804

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