Effect of Cognitive Load on Urban Spatial Discrimination: An Eye Movement Research

2021 ◽  
pp. 645-651
Author(s):  
Ge Chen ◽  
Xu Dong ◽  
Jiaxiao Li ◽  
Fenling Liu ◽  
Liangyu Mi
Keyword(s):  
Cognitive Load ◽  
Eye Movement ◽  
Spatial Discrimination

scholarly journals Eye Movements in Response to Pain-Related Feelings in the Presence of Low and High Cognitive Loads

2020 ◽  
Vol 10 (5) ◽  
pp. 92
Author(s):  
Ramtin Zargari Marandi ◽  
Camilla Ann Fjelsted ◽  
Iris Hrustanovic ◽  
Rikke Dan Olesen ◽  
Parisa Gazerani
Keyword(s):  
Eye Movements ◽  
Cognitive Load ◽  
Eye Movement ◽  
Cognitive Processing ◽  
Pain Perception ◽  
Cognitive Task ◽  
Load Level ◽  
Task Load ◽  
Pupillary Responses ◽  
Movement Characteristics

The affective dimension of pain contributes to pain perception. Cognitive load may influence pain-related feelings. Eye tracking has proven useful for detecting cognitive load effects objectively by using relevant eye movement characteristics. In this study, we investigated whether eye movement characteristics differ in response to pain-related feelings in the presence of low and high cognitive loads. A set of validated, control, and pain-related sounds were applied to provoke pain-related feelings. Twelve healthy young participants (six females) performed a cognitive task at two load levels, once with the control and once with pain-related sounds in a randomized order. During the tasks, eye movements and task performance were recorded. Afterwards, the participants were asked to fill out questionnaires on their pain perception in response to the applied cognitive loads. Our findings indicate that an increased cognitive load was associated with a decreased saccade peak velocity, saccade frequency, and fixation frequency, as well as an increased fixation duration and pupil dilation range. Among the oculometrics, pain-related feelings were reflected only in the pupillary responses to a low cognitive load. The performance and perceived cognitive load decreased and increased, respectively, with the task load level and were not influenced by the pain-related sounds. Pain-related feelings were lower when performing the task compared with when no task was being performed in an independent group of participants. This might be due to the cognitive engagement during the task. This study demonstrated that cognitive processing could moderate the feelings associated with pain perception.

scholarly journals Study on cognitive load of OM interface and eye movement experiment for nuclear power system

2020 ◽  
Vol 52 (1) ◽  
pp. 78-86
Author(s):  
Jingling Zhang ◽  
Daizhong Su ◽  
Yan Zhuang ◽  
Furong QIU
Keyword(s):  
Power System ◽  
Cognitive Load ◽  
Eye Movement ◽  
Nuclear Power ◽  
Nuclear Power System

Effect of cognitive load on eye-target synchronization during smooth pursuit eye movement

2011 ◽  
Vol 1398 ◽  
pp. 55-63 ◽  
Author(s):  
R. Contreras ◽  
J. Ghajar ◽  
S. Bahar ◽  
M. Suh
Keyword(s):  
Cognitive Load ◽  
Eye Movement ◽  
Smooth Pursuit ◽  
Smooth Pursuit Eye Movement

scholarly journals Contact-Free Cognitive Load Recognition Based on Eye Movement

2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Xin Liu ◽  
Tong Chen ◽  
Guoqiang Xie ◽  
Guangyuan Liu
Keyword(s):  
Cognitive Load ◽  
Eye Movement ◽  
Cognitive Load Theory ◽  
Recognition Rate ◽  
Support Vector ◽  
Load Theory ◽  
Whole Process ◽  
Movement Data ◽  
Mental Diseases ◽  
Contact Free

The cognitive overload not only affects the physical and mental diseases, but also affects the work efficiency and safety. Hence, the research of measuring cognitive load has been an important part of cognitive load theory. In this paper, we proposed a method to identify the state of cognitive load by using eye movement data in a noncontact manner. We designed a visual experiment to elicit human’s cognitive load as high and low state in two light intense environments and recorded the eye movement data in this whole process. Twelve salient features of the eye movement were selected by using statistic test. Algorithms for processing some features are proposed for increasing the recognition rate. Finally we used the support vector machine (SVM) to classify high and low cognitive load. The experimental results show that the method can achieve 90.25% accuracy in light controlled condition.

scholarly journals Eye movement planning on Single-Sensor-Single-Indicator displays is vulnerable to user anxiety and cognitive load

2017 ◽  
Vol 10 (5) ◽  
Author(s):  
Jonathan Allsop ◽  
Rob Gray ◽  
Heinrich Bülthoff ◽  
Lewis Chuang
Keyword(s):  
Cognitive Load ◽  
Task Performance ◽  
Eye Movement ◽  
Movement Planning ◽  
Data Visualisation ◽  
Gaze Behavior ◽  
Single Indicator ◽  
Single Sensor ◽  
Indicator Data ◽  
Back Task

In this study, we demonstrate the effects of anxiety and cognitive load on eye movement planning in an instrument flight task adhering to a single-sensor-single-indicator data visualisation design philosophy. The task was performed in neutral and anxiety conditions, while a low or high cognitive load, auditory n-back task was also performed. Cognitive load led to a reduction in the number of transitions between instruments, and impaired task performance. Changes in self-reported anxiety between the neutral and anxiety conditions positively correlated with changes in the randomness of eye movements between instruments, but only when cognitive load was high. Taken together, the results suggest that both cognitive load and anxiety impact gaze behavior, and that these effects should be explored when designing data visualization displays.

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.

scholarly journals Gaze and eye movement in dialogue interpreting: An eye-tracking study

2020 ◽  
Vol 23 (4) ◽  
pp. 780-787 ◽  
Author(s):  
Elisabet Tiselius ◽  
Kayle Sneed
Keyword(s):  
Eye Tracking ◽  
Cognitive Load ◽  
Eye Movement ◽  
Cognitive Processes ◽  
Cognitive Effort ◽  
Simultaneous Interpreting ◽  
Gaze Patterns ◽  
Averted Gaze

AbstractPrevious studies have investigated the cognitive processes of simultaneous interpreting and translation using eye-tracking. No study has yet utilized eye-tracking to investigate cognitive load and cognitive effort in dialogue interpreting. An eye-tracking study was conducted on two groups of interpreters (experienced and inexperienced) with varying language backgrounds during a staged dialogue interpreting session. The aim of the study was to explore gaze patterns in dialogue interpreting in relation to the interpreters’ action and translation direction. The results indicated there were differences in gaze patterns depending on the action and the language used. Participants averted gaze more when interpreting into the allophone language (the L2 for a majority of the participants in this study). This may indicate that interpreting into L2 in a dialogue may involve more cognitive effort than interpreting into L1. Finally, gaze patterns did not differ significantly between inexperienced and experienced dialogue interpreters.

scholarly journals Moses or Noah? A case of ‘potato-potahto’ when using a foreign language

2021 ◽  
pp. 1-15
Author(s):  
Sara Dhaene ◽  
Nicolas Dirix ◽  
Hélène Van Marcke ◽  
Evy Woumans
Keyword(s):  
Eye Movements ◽  
Foreign Language ◽  
Cognitive Load ◽  
Eye Movement ◽  
Semantic Processing ◽  
Processing Style ◽  
Systematic Processing ◽  
Heuristic Reasoning ◽  
Reading Patterns ◽  
Increased Susceptibility

Abstract Research among bilinguals suggests a foreign language effect for various tasks requiring a more systematic processing style. For instance, bilinguals seem less prone to heuristic reasoning when solving problem statements in their foreign (FL) as opposed to their native (NL) language. The present study aimed to determine whether such an effect might also be observed in the detection of semantic anomalies. Participants were presented NL and FL questions with and without anomalies while their eye movements were recorded. Overall, they failed to detect the anomaly in more than half of the trials. Furthermore, more illusions occurred for questions presented in the FL, indicating an FL disadvantage. Additionally, eye movement analyses suggested that reading patterns for anomalies are predominantly similar across languages. Our results therefore substantiate theories suggesting that FL use induces cognitive load, causing increased susceptibility to illusions due to partial semantic processing.

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