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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

            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

            1. Asmayawati, S., & Nixon, J. (2020). Modelling and supporting flight crew decision-making during aircraft engine malfunctions: developing design recommendations from cognitive work analysis. Applied Ergonomics, 82(May 2019), 102953.

            2. Chen, J. Y. C., Lakhmani, S. G., Stowers, K., Selkowitz, A. R., Wright, J. L., & Barnes, M. (2018). Situation awareness-based agent transparency and human-autonomy teaming effectiveness. Theoretical Issues in Ergonomics Science, 19(3), 259–282. https://doi.org/10.1080/1463922X.2017.1315750

            3. Clewley, R., & Nixon, J. (2019). Understanding pilot response to flight safety events using categorisation theory. Theoretical Issues in Ergonomics Science, 20(5). https://doi.org/10.1080/1463922X.2019.1574929

            4. Clewley, R., & Nixon, J. (2020). Penguins, Birds, and Pilot Knowledge: Can an Overlooked Attribute of Human Cognition Explain Our Most Puzzling Aircraft Accidents? Human Factors. https://doi.org/10.1177/0018720820960877

            5. Clewley, R., & Nixon, J. (2021). Now you see it, now you don’t: dynamism amplifies the typicality effect. Cognition, Technology & Work. https://doi.org/10.1007/s10111-021-00686-9

            6. Endsley, M. R. (1995). Toward a Theory of Situation Awareness in Dynamic Systems. Human Factors: The Journal of the Human Factors and Ergonomics Society, 37(1), 32–64. https://doi.org/10.1518/001872095779049543

            7. Endsley, M. R. (2015). Situation awareness misconceptions and misunderstandings. Journal of Cognitive Engineering and Decision Making, 9(1), 4–32.

            8. Endsley, M. R. (2017). From Here to Autonomy: Lessons Learned from Human-Automation Research. Human Factors, 59(1), 5–27.

            9. Kaber, D. B., & Endsley, M. R. (2004). The effects of level of automation and adaptive automation on human performance, situation awareness and workload in a dynamic control task. In Theoretical Issues in Ergonomics Science (Vol. 5, Issue 2). https://doi.org/10.1080/1463922021000054335.

            10. Pritchett, A. R., Kim, S. Y., & Feigh, K. M. (2014). Modeling human-automation function allocation. Journal of Cognitive Engineering and Decision Making, 8(1), 33–51. https://doi.org/10.1177/1555343413490944

            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

            12. Skraaning, G., & Jamieson, G. A. (2021). Human Performance Benefits of The Automation Transparency Design Principle. Human Factors: The Journal of the Human Factors and Ergonomics Society, 63(3), 379–401. https://doi.org/10.1177/0018720819887252

            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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