Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/163944
Title: Factor study affecting visual awareness on dynamic object monitoring
Authors: Teo, Terry Liang Khin
Lye, Sun Woh
Goh, Brendon Kai Lun
Keywords: Engineering::Aeronautical engineering
Social sciences::Psychology::Applied psychology
Issue Date: 2022
Source: Teo, T. L. K., Lye, S. W. & Goh, B. K. L. (2022). Factor study affecting visual awareness on dynamic object monitoring. ICAEHF 2022: International Conference on Advanced Ergonomics and Human Factors, 257-260.
Conference: ICAEHF 2022: International Conference on Advanced Ergonomics and Human Factors
Abstract: As applied to dynamic monitoring situations, the prevailing approach to situation awareness (SA) assumes that the relevant areas of interest (AOI) be perceived before that information can be processed further to effect decision making and thereafter action. It is not entirely clear whether this is the case. This study seeks to investigate the monitoring of dynamic objects through matching eye fixations with the relevant AOIs in boundary crossing scenarios. By this definition, a match is where a fixation is registered on the AOI. While many factors may affect monitoring characteristics, traffic simulations were designed in this study to explore two factors namely: the number of inbound/outbound traffic transfer and the number of entry and/or exit points in a radar monitoring sector. These two factors were graded into 5 levels of difficulty ranging from low to high traffic flow numbers. Combined permutation in terms of levels of difficulty of these two factors yielded a total of thirty scenarios. Through this, results showed that changes in the traffic flow numbers on transfer resulted in greater variations having match limits ranging from 29%-100%, as compared to the number of sector entry/exit points of range limit from 80%-100%. Subsequent analysis is able to determine the type and combination of traffic scenarios where imperfect matching is likely to occur.
URI: https://hdl.handle.net/10356/163944
URL: https://waset.org/advanced-ergonomics-and-human-factors-conference
Schools: School of Mechanical and Aerospace Engineering 
Research Centres: Air Traffic Management Research Institute 
Rights: © 2022 World Academy of Science, Engineering and Technology (WASET). This is an open-access article distributed under the terms of the Creative Commons Attribution License.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:ATMRI Conference Papers
MAE Conference Papers

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