A Fixation-Click Count Signature as a Visual Monitoring Enhancement Feature for Air Traffic Controllers

Wee, Hong Jie; Lye, Sun Woh; Pinheiro, Jean-Philippe

doi:10.1007/978-3-030-39512-4_35

Cited by 4 publications

(5 citation statements)

References 5 publications

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“…According to Neu-VR equipment specifications, attention shift frequency corresponds to the frequency of visual focus changes. This concept is analogous to the fixation-click count employed in visual monitoring research to evaluate visual attention in air traffic controller training ( Wee et al, 2020 ). Fascination, a component of Attention Restoration Theory, posits that a captivating environment effortlessly holds an individual’s attention ( Kaplan and Kaplan, 1989 ).…”

Section: Discussionmentioning

confidence: 99%

Exploring the relationship between home environmental characteristics and restorative effect through neural activities

Shen,

Wang,

2023

Front. Hum. Neurosci.

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As society and the economy have advanced, the focus of architectural and interior environment design has shifted from practicality to eliciting emotional responses, such as stimulating environments and innovative inclusive designs. Of particular interest is the home environment, as it is best suited for achieving restorative effects, leading to a debate between interior qualities and restorative impact. This study explored the relationships between home characteristics, restorative potential, and neural activities using the Neu-VR. The results of the regression analysis revealed statistically significant relationships between interior properties and restorative potential. We examined each potential characteristic of the home environment that could have a restorative impact and elucidated the environmental characteristics that should be emphasized in residential interior design. These findings contribute evidence-based knowledge for designing therapeutic indoor environments. And combining different restorative potential environments with neural activity, discussed new neuro activities which may predict restorativeness, decoded the new indicators of neuro activity for environmental design.

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Section: Discussionmentioning

confidence: 99%

Exploring the relationship between home environmental characteristics and restorative effect through neural activities

Shen,

Wang,

2023

Front. Hum. Neurosci.

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“…Accuracy and precision of the eye tracker in non-ideal conditions (no chinrest) were found to be 3.5° and 1.1° respectively [4,5]. Raw visual physiological and radar data were extracted via a postprocessing server that had been developed, ensuring temporal synchronicity [6].…”

Section: Methodsmentioning

confidence: 99%

Physiological Based Adaptive Automation Triggers in Varying Traffic Density

Tan

Chen

Lye

2021

Human Interaction, Emerging Technologies and Future Systems V

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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.

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“…In capturing monitoring behavior in ATC context (Wee et al, 2017a,b;Wee et al, 2019), eye-tracking was used as the main method in conducting attentional studies for the experiments in this paper. Eye tracking represents the most direct and accurate attentiveness response measure on task monitoring (Wee et al, 2020). Eye fixations derived from the eye data are based on the velocity threshold fixation identification (I-VT) algorithm (Wee et al, 2017a,b;Wee, 2020), which classifies the eye movements according to the velocity of the directional shifts of the eye.…”

Section: Data Processing and Parameter Identificationmentioning

confidence: 99%

“…It is measured through the Tobii X2-30 screen-based Eye-Tracker and mapped onto the fixation frame via the I-VT Algorithm. Fix-C is found to be a suitable measure in assessing the participant's ability to notify visual cues (Wee et al, 2020).…”

Section: Eye-fixation Count Over Aircraft Number (Fix-c/an)mentioning

confidence: 99%

Assessing attentive monitoring levels in dynamic environments through visual neuro-assisted approach

Lye

Yuvaraj³

2022

Heliyon

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A Fixation-Click Count Signature as a Visual Monitoring Enhancement Feature for Air Traffic Controllers

Abstract: A fixation-click count signature as a visual monitoring enhancement feature for air traffic controllers

Cited by 4 publications

References 5 publications

Exploring the relationship between home environmental characteristics and restorative effect through neural activities

Exploring the relationship between home environmental characteristics and restorative effect through neural activities

Physiological Based Adaptive Automation Triggers in Varying Traffic Density

Assessing attentive monitoring levels in dynamic environments through visual neuro-assisted approach

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