Examining Error Likelihood When Using Enhanced Vision Systems for Approach and Landing

Steven J. Landry; Denys Bulikhov; Zixu Zhang; Carlos F. Miñana

doi:10.1007/978-3-030-21565-1_36

Examining Error Likelihood When Using Enhanced Vision Systems for Approach and Landing

Steven J. Landry, Denys Bulikhov, Zixu Zhang, Carlos F. Miñana

Marcus Department of Industrial and Manufacturing Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

A flight simulator experiment simulating enhanced vision system approaches was conducted in which the dependent variable in question was the probability of large performance measure deviations, rather than the mean deviation of those measures. Prior work had established no mean deviation in performance measures, but the question of whether the enhanced vision system affected the probability of large errors was not answered. The results of the simulator study suggest that enhanced vision system approaches may not affect the probability of long error durations, but may reduce the probability of large error extents. While this appears to be a positive finding for enhanced vision approaches, it may suggest pilots are applying higher gain than strictly necessary in correcting for errors, which would raise concerns of unnecessarily increased workload. Such a concern is consistent with other work on enhanced vision system approaches.

Original language	English (US)
Title of host publication	Virtual, Augmented and Mixed Reality. Applications and Case Studies - 11th International Conference, VAMR 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings
Editors	Jessie Y.C. Chen, Gino Fragomeni
Publisher	Springer Verlag
Pages	529-535
Number of pages	7
ISBN (Print)	9783030215644
DOIs	https://doi.org/10.1007/978-3-030-21565-1_36
State	Published - 2019
Event	11th International Conference on Virtual, Augmented and Mixed Reality, VAMR 2019, held as part of the 21st International Conference on Human-Computer Interaction, HCI International 2019 - Orlando, United States Duration: Jul 26 2019 → Jul 31 2019

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11575 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	11th International Conference on Virtual, Augmented and Mixed Reality, VAMR 2019, held as part of the 21st International Conference on Human-Computer Interaction, HCI International 2019
Country/Territory	United States
City	Orlando
Period	7/26/19 → 7/31/19

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-030-21565-1_36

Cite this

Landry, S. J., Bulikhov, D., Zhang, Z., & Miñana, C. F. (2019). Examining Error Likelihood When Using Enhanced Vision Systems for Approach and Landing. In J. Y. C. Chen, & G. Fragomeni (Eds.), Virtual, Augmented and Mixed Reality. Applications and Case Studies - 11th International Conference, VAMR 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings (pp. 529-535). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11575 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-030-21565-1_36

Landry, Steven J. ; Bulikhov, Denys ; Zhang, Zixu et al. / Examining Error Likelihood When Using Enhanced Vision Systems for Approach and Landing. Virtual, Augmented and Mixed Reality. Applications and Case Studies - 11th International Conference, VAMR 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings. editor / Jessie Y.C. Chen ; Gino Fragomeni. Springer Verlag, 2019. pp. 529-535 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "A flight simulator experiment simulating enhanced vision system approaches was conducted in which the dependent variable in question was the probability of large performance measure deviations, rather than the mean deviation of those measures. Prior work had established no mean deviation in performance measures, but the question of whether the enhanced vision system affected the probability of large errors was not answered. The results of the simulator study suggest that enhanced vision system approaches may not affect the probability of long error durations, but may reduce the probability of large error extents. While this appears to be a positive finding for enhanced vision approaches, it may suggest pilots are applying higher gain than strictly necessary in correcting for errors, which would raise concerns of unnecessarily increased workload. Such a concern is consistent with other work on enhanced vision system approaches.",

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Landry, SJ, Bulikhov, D, Zhang, Z & Miñana, CF 2019, Examining Error Likelihood When Using Enhanced Vision Systems for Approach and Landing. in JYC Chen & G Fragomeni (eds), Virtual, Augmented and Mixed Reality. Applications and Case Studies - 11th International Conference, VAMR 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11575 LNCS, Springer Verlag, pp. 529-535, 11th International Conference on Virtual, Augmented and Mixed Reality, VAMR 2019, held as part of the 21st International Conference on Human-Computer Interaction, HCI International 2019, Orlando, United States, 7/26/19. https://doi.org/10.1007/978-3-030-21565-1_36

Examining Error Likelihood When Using Enhanced Vision Systems for Approach and Landing. / Landry, Steven J.; Bulikhov, Denys; Zhang, Zixu et al.
Virtual, Augmented and Mixed Reality. Applications and Case Studies - 11th International Conference, VAMR 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings. ed. / Jessie Y.C. Chen; Gino Fragomeni. Springer Verlag, 2019. p. 529-535 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11575 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - A flight simulator experiment simulating enhanced vision system approaches was conducted in which the dependent variable in question was the probability of large performance measure deviations, rather than the mean deviation of those measures. Prior work had established no mean deviation in performance measures, but the question of whether the enhanced vision system affected the probability of large errors was not answered. The results of the simulator study suggest that enhanced vision system approaches may not affect the probability of long error durations, but may reduce the probability of large error extents. While this appears to be a positive finding for enhanced vision approaches, it may suggest pilots are applying higher gain than strictly necessary in correcting for errors, which would raise concerns of unnecessarily increased workload. Such a concern is consistent with other work on enhanced vision system approaches.

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Landry SJ, Bulikhov D, Zhang Z, Miñana CF. Examining Error Likelihood When Using Enhanced Vision Systems for Approach and Landing. In Chen JYC, Fragomeni G, editors, Virtual, Augmented and Mixed Reality. Applications and Case Studies - 11th International Conference, VAMR 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings. Springer Verlag. 2019. p. 529-535. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-21565-1_36

Examining Error Likelihood When Using Enhanced Vision Systems for Approach and Landing

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