Comparison of Expert and Novice Eye Movement Behaviors during Landing Flight

2011 ◽  
Vol 383-390 ◽  
pp. 2556-2560 ◽  
Author(s):  
Wei Liu ◽  
Cheng Kun Liu ◽  
Da Min Zhuang ◽  
Zhong Qi Liu ◽  
Xiu Gan Yuan
Keyword(s):  
Eye Movement ◽  
Mental Workload ◽  
Movement Pattern ◽  
Flight Simulation ◽  
Flight Training ◽  
Fixation Time ◽  
Flight Performance ◽  
Movement Data ◽  
Expert And Novice ◽  
Fixation Points

Objective To study expert and novice eye movement pattern during simulated landing flight for providing references to evaluate flight performance and training of pilots. Methods The subjects were divided in to two group s of expert and novice according to their flight simulation experience. Eye movement data were recorded when they were performing landing task. Comparison of expert and novice flight performance data and eye movement data was made. Results It was found that the differences between expert and novice lay not only in flight performance but also in eye movement pattern. Performance of expert was better than novice. Expert had shorter fixation time, more fixation points, faster scan velocity, greater scan frequency and wider scan area than novice. It was also found that eye movement pattern of expert bring lower mental workload than novice. Conclusion Flight performance is related to eye movement pattern. Effective eye movement pattern is related to good flight performance. The analysis of eye movement indices can evaluate pilots’ flight performance and provide reference for flight training.

scholarly journals Research on the Quantitative Method of Cognitive Loading in a Virtual Reality System

Information ◽  
2019 ◽  
Vol 10 (5) ◽  
pp. 170
Author(s):  
Jian Lv ◽  
Xiaoping Xu ◽  
Ning Ding
Keyword(s):  
Virtual Reality ◽  
Cognitive Load ◽  
Eye Movement ◽  
Probabilistic Neural Network ◽  
Evaluation Model ◽  
Absolute Error ◽  
Interactive System ◽  
Movement Data ◽  
Saccade Length ◽  
Fixation Points

Aimed at the problem of how to objectively obtain the threshold of a user’s cognitive load in a virtual reality interactive system, a method for user cognitive load quantification based on an eye movement experiment is proposed. Eye movement data were collected in the virtual reality interaction process by using an eye movement instrument. Taking the number of fixation points, the average fixation duration, the average saccade length, and the number of the first mouse clicking fixation points as the independent variables, and the number of backward-looking times and the value of user cognitive load as the dependent variables, a cognitive load evaluation model was established based on the probabilistic neural network. The model was validated by using eye movement data and subjective cognitive load data. The results show that the absolute error and relative mean square error were 6.52%–16.01% and 6.64%–23.21%, respectively. Therefore, the model is feasible.

Eye Movements during Geometrical Problem Solving

Perception ◽  
1997 ◽  
Vol 26 (1_suppl) ◽  
pp. 138-138 ◽  
Author(s):  
J Epelboim ◽  
P Suppes
Keyword(s):  
Eye Movement ◽  
Movement Pattern ◽  
Visually Guided ◽  
Verbal Protocols ◽  
Movement Data ◽  
Cognitive Operations ◽  
New Information ◽  
Problem Solvers ◽  
Simple Features ◽  
Probabilistic Nature

Diagrams are used extensively in posing and solving geometry problems. It is likely that strategies that good problem-solvers have developed for looking at diagrams reflect their reasoning about each problem. This suggested that the eye-movement patterns of geometry experts, observed while they solve problems posed with diagrams, are likely to contain new information about their reasoning. Eye-movement data, collected while subjects solved geometry problems posed as diagrams, were examined. Three subjects participated. Two of the subjects (‘experts’) were skilled at solving geometry problems. The third subject (‘non-expert’) had last solved such problems over 50 years prior to the experiment, and did not know how to proceed on most of the problems. The eye-movement pattern reflected cognitive operations used to solve each problem. Fixation durations depended, to some extent, on cognitive or perceptual processing of features at each gaze location. For example, fixations were longer when gaze was on the angle in question, than when gaze was on other angles or line-segments. Likewise, saccades were made to features that were being considered, as indicated by verbal protocols. Expert subjects combined simple features into more complex, imaginary structures, as was required to solve the problem. They scanned the areas of the diagram that fell within the imagined contours of these structures. The non-expert did not construct such structures. He only scanned visible features of the diagram. Variability in durations of fixations and landing positions of saccades was not due solely to the probabilistic nature of the oculomotor processes. Such processes, however, clearly play an important role in determining the eye-movement pattern in this task, as they do in other visually-guided tasks.

Differences in the Perceptual Processes Behind Shading and Achromatic Color Responses on the Rorschach

2015 ◽  
Vol 36 (2) ◽  
pp. 180-200 ◽  
Author(s):  
Masaru Yasuda
Keyword(s):  
Eye Movements ◽  
Eye Movement ◽  
The Other ◽  
Fixation Time ◽  
Achromatic Color ◽  
Movement Data ◽  
Other Hand ◽  
Main Effect

Abstract. Differences in perceptional processes between shading responses and achromatic-color responses were examined by comparing eye movements. The following hypotheses were tested. Hypothesis 1: Shading responses, compared to non-shading responses, would show an increased fixation time directed at the inside of the area of shading stimuli and a decreased fixation time directed at the outline. Hypothesis 2: The differences in fixation times proposed in Hypothesis 1 would not be observed between achromatic-color responses and non-achromatic-color responses. Eye movement data of 60 responses produced for the W in Card IV and D1 in Card VI were analyzed. The results indicated that shading responses had significantly longer fixation times directed at the inner area and significantly shorter fixation times directed at the outline, compared to non-shading responses. On the other hand, achromatic-color responses did not show a significant main effect or interaction. The above results supported Hypotheses 1 and 2.

Attention and Entropy in Simulated Flight with Varying Cognitive Loads

2020 ◽  
Vol 91 (6) ◽  
pp. 489-495
Author(s):  
Tianjiao Lu ◽  
Zhenshan Lou ◽  
Feng Shao ◽  
Yuan Li ◽  
Xuqun You
Keyword(s):  
Visual Search ◽  
Eye Movements ◽  
Cognitive Load ◽  
Eye Movement ◽  
Situation Awareness ◽  
Search Strategies ◽  
Fixation Time ◽  
Flight Performance ◽  
Area Of Interest ◽  
Subject Experiment

INTRODUCTION: This study is conducted to observe the effects of cognitive load on the visual search and attention allocation strategies of pilots. Research on pilots’ visual search strategies can provide valuable information regarding attention distribution and transformation, as well as useful situation awareness (SA) predictions.METHODS: A total of 18 pilots performed flight tasks in a two-condition (high and low cognitive load) within-subject experiment to compare their flight performance and eye movement indicators. Eye movements were tracked during the flight mission by a portable eye-tracking device.RESULTS: Compared to the low cognitive load task, in the high cognitive load task, the subjects exhibited shorter average fixation times (M = 420.38, SD = 60.56), higher fixation frequencies (M = 2.27, SD = 0.30), and lower saccade frequencies (M = 2.7, SD = 0.31). Their flight performance was better during the low cognitive load task, as evidenced by the lower entropy (M = 0.11, SD = 0.03) of their eye movements. Analysis of fixation time percentages and fixation counts showed that the distribution of attention to each area of interest was adjusted dynamically over the course of the given task.DISCUSSION: Significant differences were observed in both fixation order and fixation frequency across the instrument array. When the cognitive load is high, the subjects used more efficient eye movement patterns and search strategies accompanying a higher level of SA.Lu T, Lou Z, Shao F, Li Y, You X. Attention and entropy in simulated flight with varying cognitive loads. Aerosp Med Hum Perform. 2020; 91(6):489–495.

scholarly journals Research on visual physiological characteristics via virtual driving platform

2018 ◽  
Vol 10 (1) ◽  
pp. 168781401771766
Author(s):  
Jieyu Fan ◽  
Shengdi Chen ◽  
Mingzhang Liang ◽  
Fengyuan Wang
Keyword(s):  
Eye Movement ◽  
Measured Data ◽  
Information Environment ◽  
Eye Tracker ◽  
Complex Environment ◽  
Source Information ◽  
Safe Driving ◽  
Movement Data ◽  
Visual Characteristics ◽  
Fixation Points

The transportation system is synthesized by people, vehicles, roads, and environment, and people factor is initiative and plays a key role in the intermediate link between complex environment and vehicles. Virtual driving test is designed to research driver’s dynamic visual characteristics under different road conditions. This article applies faceLAB 5.0 eye tracker, Blue Tiger virtual driving device, and others to record eye movement changes of a driver in different road conditions, collect driver’s eye movement data, and analyze eye movement variation. Also, by comparing, checking, and disciplinary analyzing the measured data in different driving phases, this article conducts an analysis of eye movement changes of a driver while driving. In virtual driving test, drivers have low blinking frequency and long blinking duration in started section. When the section is complicated, drivers have increasing blinking frequency but shorter blinking duration and disperse visual fixation points. In decelerating section, drivers slow down and stop the vehicle. The research results provide the basis for safe driving, when date is more than a variable value, which can determine the driver unsafe driving. The research also has an important and practical role in the research of the driver’s behavior process in multi-source information environment.

Age Differences in Eye Movements During Reading: Degenerative Problems or Compensatory Strategy?

2019 ◽  
Vol 24 (4) ◽  
pp. 297-311
Author(s):  
José David Moreno ◽  
José A. León ◽  
Lorena A. M. Arnal ◽  
Juan Botella
Keyword(s):  
Eye Movements ◽  
Eye Movement ◽  
Meta Analysis ◽  
Age Groups ◽  
Behavioral Changes ◽  
Aging Effects ◽  
Movement Data ◽  
Sentence Reading ◽  
The Difference ◽  
Eye Movements During Reading

Abstract. We report the results of a meta-analysis of 22 experiments comparing the eye movement data obtained from young ( Mage = 21 years) and old ( Mage = 73 years) readers. The data included six eye movement measures (mean gaze duration, mean fixation duration, total sentence reading time, mean number of fixations, mean number of regressions, and mean length of progressive saccade eye movements). Estimates were obtained of the typified mean difference, d, between the age groups in all six measures. The results showed positive combined effect size estimates in favor of the young adult group (between 0.54 and 3.66 in all measures), although the difference for the mean number of fixations was not significant. Young adults make in a systematic way, shorter gazes, fewer regressions, and shorter saccadic movements during reading than older adults, and they also read faster. The meta-analysis results confirm statistically the most common patterns observed in previous research; therefore, eye movements seem to be a useful tool to measure behavioral changes due to the aging process. Moreover, these results do not allow us to discard either of the two main hypotheses assessed for explaining the observed aging effects, namely neural degenerative problems and the adoption of compensatory strategies.

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