Abstract
Elsewhere we have discussed a number of problems typical of highly automated systems and proposed tenets for addressing these problems based on Human-Autonomy Teaming (HAT) [1]. We have examined these principles in the context of aviation [2, 3]. Here we discuss the generality of these tenets by examining how they might be applied to photography and automotive navigation. While these domains are very different, we find application of our HAT tenets provides a number of opportunities for improving interaction between human operators and automation. We then illustrate how the generalities found across aviation, photography and navigation can be captured in a design pattern.
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Acknowledgments
We would like to acknowledge NASA’s Safe and Autonomous System Operations Project, which funded this research. Thanks to Walter Johnson, Vernol Battiste, Mike Matessa, and Gilles Coppin, for their thoughts and comments.
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Lachter, J., Brandt, S.L., Sadler, G., Shively, R.J. (2018). Beyond Point Design: General Pattern to Specific Implementations. In: Baldwin, C. (eds) Advances in Neuroergonomics and Cognitive Engineering. AHFE 2017. Advances in Intelligent Systems and Computing, vol 586. Springer, Cham. https://doi.org/10.1007/978-3-319-60642-2_4
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DOI: https://doi.org/10.1007/978-3-319-60642-2_4
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