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Title: Physiological based adaptive automation triggers in varying traffic density
Authors: Tan, Shi Yin
Chen, Chun-Hsien
Lye, Sun Woh
Keywords: Engineering::Mechanical engineering
Engineering::Aeronautical engineering
Issue Date: 2021
Source: Tan, S. Y., Chen, C. & Lye, S. W. (2021). Physiological based adaptive automation triggers in varying traffic density. 5th International Conference on Human Interaction and Emerging Technologies (IHIET 2021), LNNS, volume 319, 339-345.
Abstract: Adaptive automation is paramount in alleviating the undesired effects of high levels of automation. This paper examines various visual physiological measures whilst participants were engaged in conflict detection tasks in an air traffic control environment of varying traffic densities. Results showed that global means of fixation count and duration do not perfectly convey the underlying cognitive processes of operators and that successive comparisons on aircraft targets could serve as potential predictors of conflict detection performance end states. The agnostic nature of successive comparisons to varying traffic densities is also vital in a realistic air traffic control environment where traffic is fluctuating constantly. Additionally, physiological measures derived from such behavioural cues could potentially serve as fail-safe triggers in conventional physiological-based adaptive automation triggers in safety-critical domains.
ISBN: 978-3-030-85539-0
DOI: 10.1007/978-3-030-85540-6_43
Rights: © 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG. All rights reserved. This paper was published in Proceedings of 5th International Virtual Conference on Human Interaction and Emerging Technologies (IHIET 2021) and is made available with permission of The Author(s).
Fulltext Permission: embargo_20220917
Fulltext Availability: With Fulltext
Appears in Collections:ATMRI Conference Papers
MAE Conference Papers

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