scholarly journals Spontaneous eye-movements during eyes-open rest reduce resting-state-network modularity by increasing visual-sensorimotor connectivity

2020 ◽  
Author(s):  
Cemal Koba ◽  
Giuseppe Notaro ◽  
Sandra Tamm ◽  
Gustav Nilsonne ◽  
Uri Hasson
Keyword(s):  
Eye Movements ◽  
Eye Tracking ◽  
Resting State ◽  
Movement Control ◽  
Clustering Coefficient ◽  
Tracking Data ◽  
Planar Imaging ◽  
Experimental Conditions ◽  
Sensory Motor ◽  
Eyes Open

ABSTRACTDuring wakeful rest, individuals make small eye movements when asked to fixate. We examined how these endogenously-driven oculomotor patterns impact topography and topology of functional brain networks. We used a dataset consisting of eyes-open resting-state (RS) fMRI data with simultaneous eye-tracking (Nilsonne et al., 2016). The eye-tracking data indicated minor movements during rest, on the order of 1.0 degree on average when analyzed over 2sec epochs, which correlated modestly with RS BOLD data. However, the eye-tracking data correlated well with echo-planar imaging (EPI) time series sampled from the area of the Eye-Orbit (EO-EPI), which is a signal previously used to identify eye movements during exogenous saccades and movie viewing. We found that EO-EPI data correlated with activity in an extensive motor and sensory-motor network, but also some components of the dorsal attention network including the frontal and supplementary eye fields. Partialling out variance related to EO-EPI from RS data reduced connectivity, primarily between sensory-motor and visual areas. For three different network sparsity levels, the resulting RS connectivity networks showed higher modularity, lower mean connectivity strength, and lower mean clustering coefficient. Our results highlight new aspects of endogenous eye movement control during wakeful rest. They show that oculomotor-related contributions form an important component of RS network topology, and that those should be considered in interpreting differences in network structure between populations, or as a function of different experimental conditions.

scholarly journals Spontaneous eye-movements during eyes-open rest reduce resting-state-network modularity by increasing visual-sensorimotor connectivity

2021 ◽  
pp. 1-39
Author(s):  
Cemal Koba ◽  
Giuseppe Notaro ◽  
Sandra Tamm ◽  
Gustav Nilsonne ◽  
Uri Hasson
Keyword(s):  
Eye Movements ◽  
Eye Tracking ◽  
Resting State ◽  
Movement Control ◽  
Clustering Coefficient ◽  
Tracking Data ◽  
Planar Imaging ◽  
Experimental Conditions ◽  
Sensory Motor ◽  
Eyes Open

During wakeful rest, individuals make small eye movements during fixation. We examined how these endogenously-driven oculomotor patterns impact topography and topology of functional brain networks. We used a dataset consisting of eyes-open resting-state (RS) fMRI data with simultaneous eye-tracking (Nilsonne et al., 2016). The eye-tracking data indicated minor movements during rest, which correlated modestly with RS BOLD data. However, eye-tracking data correlated well with echo-planar imaging time series sampled from the area of the Eye-Orbit (EO-EPI), which is a signal previously used to identify eye movements during exogenous saccades and movie viewing. Further analyses showed that EO-EPI data were correlated with activity in an extensive motor and sensory-motor network, including components of the dorsal attention network and the frontal eye fields. Partialling out variance related to EO-EPI from RS data reduced connectivity, primarily between sensory-motor and visual areas. It also produced networks with higher modularity, lower mean connectivity strength, and lower mean clustering coefficient. Our results highlight new aspects of endogenous eye movement control during wakeful rest. They show that oculomotor-related contributions form an important component of RS network topology, and that those should be considered in interpreting differences in network structure between populations, or as a function of different experimental conditions.

scholarly journals Chapter 1. Eye-tracking: facts and figures

2018 ◽  
pp. 15-44
Keyword(s):  
Eye Movements ◽  
Eye Tracking ◽  
Eye Movement ◽  
Movement Control ◽  
General Information ◽  
Cognitive Research ◽  
Pros And Cons ◽  
Movement Parameters ◽  
Tracking Devices

In chapter 1 we describe the method of eye-tracking and how the interest to studying eye movements developed in time. We describe how modern eye-tracking devices work, including several most commonly used in cognitive research (SR-Research, SMI, Tobii). We also give some general information about eye movement parameters during reading and a brief over- view of main models of eye movement control in reading (SWIFT, E-Z Reader). These models take into account a significant amount of empirical data and simulate the interaction of oculo- motor and cognitive processes involved in reading. Differences between the models, as well as different interpretations allowed within the same model, reflect the complexity of reading and the ongoing discussion about the processes involved in it. The section ends up with the pros and cons of using LCD and CRT displays in eye-tracking studies.

scholarly journals TO THE QUESTION OF PECULIARITIES OF EYE MOVEMENT ANALYSIS IN THE PROCESS OF FACE PERCEPTION

2021 ◽  
pp. 196-219
Author(s):  
Galina Ya. Menshikova ◽  
Anna O. Pichugina
Keyword(s):  
Eye Movements ◽  
Eye Tracking ◽  
Eye Movement ◽  
Face Perception ◽  
Dwell Time ◽  
Holistic Processing ◽  
Facial Features ◽  
Tracking Data ◽  
Individual Strategies ◽  
Areas Of Interest

Background. The article is devoted to the study of the mechanisms of face perception when using the technology of eye-tracking. In the scientific literature, two processes are distinguished - analytical (perception of individual facial features) and holistic (perception of a general configuration of facial features). It is assumed that each of the mechanisms can be specifically manifested in patterns of eye movements during face perception. However, there is disagreement among the authors concerning the eye movements patterns which reflect the dominance of the holistic or analytic processing. We hypothesized that the contradictions in the interpretation of eye movement indicators in the studies of face perception may be associated with the features of the eye-tracker data processing, namely, with the specifics of identifying areas of interest (eyes, nose, bridge of the nose, lips), as well as with individual strategies of eye movements. Objective. Revealing the features of eye movements analysis in the process of facial perception. Method. A method for studying analytical and holistic processing in the task of assessing the attractiveness of upright and inverted faces using eye-tracking technology has been developed and tested. The eye-tracking data were analyzed for the entire sample using three types of processing, differing in the marking of the areas of interest (AOIs), and separately for two groups differing in eye movement strategies. The distinction of strategies was considered based on differences in the mean values of the fixation duration and the amplitude of saccades. Results. It was shown that: the presence of statistically significant differences of the dwell time in the AOIs between the condition of upright and inverted faces depended on the method of identifying these AOIs. It was shown that the distribution of the dwell time by zones is closely related to individual strategies of eye movements. Analysis of the data separately by groups showed significant differences in the distribution of the dwell time in the AOIs. Conclusion. When processing eye-tracking data obtained in the studies of face perception, it is necessary to consider individual strategies of eye movements, as well as the features associated with identifying AOIs. The absence of a single standard for identifying these areas can be the reason for inconsistency of the data about the holistic or analytical processing dominance. According to our data, the most effective for the analysis of holistic processing is a more detailed type of marking the AOIs, in which not only the main features (eyes, nose, mouth) are distinguished, but also the area of the nose bridge and nose.

scholarly journals Translators’ Use of Digital Resources During Translation

2017 ◽  
pp. 71 ◽  
Author(s):  
Kristian Tangsgaard Hvelplund
Keyword(s):  
Eye Movements ◽  
Eye Tracking ◽  
Cognitive Load ◽  
Tracking Data ◽  
Translation Process ◽  
Digital Resources ◽  
Use Of Resources ◽  
Digital Resource

This paper presents the findings from a study on translators’ use of digital resources during the translation process. Eye tracking data and screen recording data from 18 professional translators are analysed in order to 1) examine how much time translators spend on digital resource consultation compared with translation drafting and translation revision, 2) examine how eye movements differ between translation drafting, revision and digital resource consultation and 3) investigate what types of digital resources are used by translators. The findings demonstrate that digital resource consultation constitutes a considerable amount of the translation process. The findings also show longer fixations and larger pupils during resource consultation, indicating heavier cognitive load, and finally the study identifies considerable variation in the use of resources between translators.

scholarly journals Collaborative Use of a Shared System Interface: The Role of User Gaze—Gaze Convergence Index Based on Synchronous Dual-Eyetracking

2020 ◽  
Vol 10 (13) ◽  
pp. 4508 ◽  
Author(s):  
Armel Quentin Tchanou ◽  
Pierre-Majorique Léger ◽  
Jared Boasen ◽  
Sylvain Senecal ◽  
Jad Adam Taher ◽  
...  
Keyword(s):  
Eye Movements ◽  
Eye Tracking ◽  
Task Performance ◽  
Tracking Data ◽  
Nomological Network ◽  
Practical Applications ◽  
The Gaze ◽  
Research Perspectives ◽  
System Interfaces

Gaze convergence of multiuser eye movements during simultaneous collaborative use of a shared system interface has been proposed as an important albeit sparsely explored construct in human-computer interaction literature. Here, we propose a novel index for measuring the gaze convergence of user dyads and address its validity through two consecutive eye-tracking studies. Eye-tracking data of user dyads were synchronously recorded while they simultaneously performed tasks on shared system interfaces. Results indicate the validity of the proposed gaze convergence index for measuring the gaze convergence of dyads. Moreover, as expected, our gaze convergence index was positively associated with dyad task performance and negatively associated with dyad cognitive load. These results suggest the utility of (theoretical or practical) applications such as synchronized gaze convergence displays in diverse settings. Further research perspectives, particularly into the construct’s nomological network, are warranted.

scholarly journals Random Spray Retinex Extensions Considering Region of Interest and Eye Movements

2019 ◽  
Vol 63 (6) ◽  
pp. 60403-1-60403-6
Author(s):  
Midori Tanaka ◽  
Matteo Paolo Lanaro ◽  
Takahiko Horiuchi ◽  
Alessandro Rizzi
Keyword(s):  
Information Processing ◽  
Eye Movements ◽  
Visual Field ◽  
Eye Tracking ◽  
Mathematical Description ◽  
Visual Information ◽  
Tracking System ◽  
Region Of Interest ◽  
Tracking Data ◽  
Proposed Model

Abstract The Random spray Retinex (RSR) algorithm was developed by taking into consideration the mathematical description of Milano-Retinex. The RSR substituted random paths with random sprays. Mimicking some characteristics of the human visual system (HVS), this article proposes two variants of RSR adding a mechanism of region of interest (ROI). In the first proposed model, a cone distribution based on anatomical data is considered as ROI. In the second model, the visual resolution depending on the visual field based on the knowledge of visual information processing is considered as ROI. We have measured actual eye movements using an eye-tracking system. By using the eye-tracking data, we have simulated the HVS using test images. Results show an interesting qualitative computation of the appearance of the processed area around real gaze points.

scholarly journals PyTrack: An end-to-end analysis toolkit for eye tracking

2020 ◽  
Vol 52 (6) ◽  
pp. 2588-2603
Author(s):  
Upamanyu Ghose ◽  
Arvind A. Srinivasan ◽  
W. Paul Boyce ◽  
Hong Xu ◽  
Eng Siong Chng
Keyword(s):  
Statistical Analysis ◽  
Eye Movements ◽  
Eye Tracking ◽  
Automated Analysis ◽  
Movement Behavior ◽  
High Temporal Resolution ◽  
Technological Advancement ◽  
Tracking Data ◽  
End To End ◽  
Parameters Of Interest

AbstractEye tracking is a widely used tool for behavioral research in the field of psychology. With technological advancement, we now have specialized eye-tracking devices that offer high sampling rates, up to 2000 Hz, and allow for measuring eye movements with high accuracy. They also offer high spatial resolution, which enables the recording of very small movements, like drifts and microsaccades. Features and parameters of interest that characterize eye movements need to be algorithmically extracted from raw data as most eye trackers identify only basic parameters, such as blinks, fixations, and saccades. Eye-tracking experiments may investigate eye movement behavior in different groups of participants and in varying stimuli conditions. Hence, the analysis stage of such experiments typically involves two phases, (i) extraction of parameters of interest and (ii) statistical analysis between different participants or stimuli conditions using these parameters. Furthermore, the datasets collected in these experiments are usually very large in size, owing to the high temporal resolution of the eye trackers, and hence would benefit from an automated analysis toolkit. In this work, we present PyTrack, an end-to-end open-source solution for the analysis and visualization of eye-tracking data. It can be used to extract parameters of interest, generate and visualize a variety of gaze plots from raw eye-tracking data, and conduct statistical analysis between stimuli conditions and subject groups.

Investigation of cue-based vertical and horizontal eye movements with electroencephalographic and eye-tracking data

2009 ◽  
Vol 120 (11) ◽  
pp. 1988-1993 ◽  
Author(s):  
Vera Kaiser ◽  
Clemens Brunner ◽  
Robert Leeb ◽  
Christa Neuper ◽  
Gert Pfurtscheller
Keyword(s):  
Eye Movements ◽  
Eye Tracking ◽  
Tracking Data

scholarly journals Word Skipping in Reading English as a Foreign Language: Evidence from Eye Tracking

2016 ◽  
Vol 3 (2) ◽  
pp. 22-31
Author(s):  
Емраг Долґунсоз ◽  
Аріф Сарісобан
Keyword(s):  
Second Language ◽  
Cognitive Psychology ◽  
Eye Movements ◽  
Eye Tracking ◽  
Eye Movement ◽  
Movement Control ◽  
Vocabulary Knowledge ◽  
Psychological Review ◽  
Eye Movement Control ◽  
Word Skipping

During reading, readers never fixate on all words in the text; shorter words sometimes gain zero fixation and skipped by the reader. Relying on E-Z Reader Model, this research hypothesized that a similar skipping effect also exists for a second language. The current study examined word skipping rates in EFL (English as a Foreign Language) with 75 EFL learners by using eye tracking methodology. The results showed that word skipping was affected by EFL reading proficiency significantly and articles (a, an, the) were skipped more than content words. Furthermore, more skilled learners were observed to have less fixation count and skipped more words during reading while less skilled learners employed more fixations and skipped less words. Eye tracking as a novel method to observe learner development and progress in EFL reading was also discussed.  References Altarriba, J., Kroll, J. F., Sholl, A.. & Rayner, K. (1996). The influence of lexical andconceptual constraints on reading mixed-language sentences: Evidence from eye fixations andnaming times. Memory & Cognition, 24, 477–492. Balota, D. A., Pollatsek, A., & Rayner, K. (1985). The interaction of contextual constraints andparafoveal visual information in reading. Cognitive Psychology, 17, 364–388. Binder, K. S., Pollatsek, A., & Rayner, K. (1999). Extraction of information to the left of thefixated word in reading. Journal of Experimental Psychology: Human Perception andPerformance, 25, 1162–1172. Brysbaert, M., & Vitu, F. (1998). Word Skipping: Implications for Theories of Eye MovementControl in Reading. In: Eye Guidance in Reading and Scene Perception. (pp. 125–147).G. Underwood, (Ed.). Oxford: Elsevier. Carpenter, P. A., & Just, M. A. (1983). What your eyes do while your mind is reading. In: EyeMovements in Reading: Perceptual and Language processes , (pp. 275–307), K. Rayner (ed.).New York: Academic Press. Djamasbi, S., Siegel, M., Skorinko, J., & Tullis, T. (2011). Online viewing and aestheticpreferences of generation y and the baby boom generation: Testing user web site experiencethrough eye tracking. International Journal of Electronic Commerce, 15(4), 121–158. Dolgunsöz, E. (2015). Measuring Attention in Second Language Reading Using Eye-tracking:The Case of the Noticing Hypothesis. Journal of Eye Movement Research, 8(5). Drieghe, D., Brysbaert, M., Desmet, T., & De Baecke, C. (2004). Word skipping in reading: Onthe interplay of linguistic and visual factors. European Journal of Cognitive Psychology,16(1–2), 79–103. Godfroid, A., Boers, F., & Housen, A. (2013). An eye for words: Gauging the role of attentionin incidental L2 vocabulary acquisition by means of eye-tracking. Studies in Second languageAcquisition, 35(3), 483–517. Henderson, J. M., & Ferreira, F. (1993). Eye movement control during reading: Fixationmeasures reflect foveal but not parafoveal processing difficulty. Canadian Journal ofExperimental Psychology, 47, 201–221. Joe, A. (1995). Text based tasks and incidental vocabulary learning. Foreign languageResearch, 11(2), 95–111. Just, M. A., & Carpenter, P. (1980). A theory of reading: From eye fixations tocomprehension. Psychological Review, 85, 109–130. Liu, P. L. (2014). Using eye tracking to understand the responses of learners to vocabularylearning strategy instruction and use. Computer Assisted Language Learning, 27(4), 330–343. McNeill, A. (1996). Vocabulary Knowledge profiles: Evidence from Chinese speaking ESLspeakers. Hong Kong Journal of Applied Linguistics 1(1), 39–63. Pollatsek, A., Reichle, E., & Rayner, K. (2003). Modeling eye movements in reading. In: TheMind’s Eyes: Cognitive and Applied Aspects of Eye Movement Research. (pp. 361–390).J. Hyona, R. Radach, & H. Deubel, (Eds.). Amsterdam: Elsevier. Radach, R., & Kempe, V. (1993). An individual analysis of initial fixation positions inreading. In: Perception and cognition: Advances in eye movement research (pp. 213–226). G.d’Ydewalle & J. Van Rensbergen (Eds.). Amsterdam: North Holland. Rayner, K. (1998). Eye Movements in Reading and Information Processing: 20 Years ofResearch, Psychological Bulletin, 124 (3), 372–422 Rayner, K., & Fischer, M. H. (1996). Mindless reading revisited: eye movements duringreading and scanning are different. Perception & Psychophysics, 58(5), 734–747. Rayner, K., & Well, A. D. (1996). Effects of contextual constraint on eye movements duringreading: a further examination. Psychonomic Bulletin & Review, 3, 504–509. Rayner, K., Binder, K. S., Ashby, J., & Pollatsek, A. (2001). Eye movement control inreading: word predictability has little influence on initial landing positions in words. VisionResearch, 41(7), 943–954. Rayner, K., Reichle, E. D., & Pollatsek, A. (2005). Eye movement control in reading and theE-Z Reader model. In: Cognitive Processes in Eye Guidance (pp. 131-162). G. Underwood(Ed.),. Oxford: Oxford University Press. Rayner, K., Sereno, S. C., & Raney, G. E. (1996). Eye movement control in reading: acomparison of two types of models. Journal of Experimental Psychology: Human Perceptionand Performance, 22, 1188–1200. Reichle, E., Pollatsek, A., Fisher, D. L., & Rayner, K. (1998). Toward a model of eyemovement control in reading. Psychological Review, 105, 125–157. Scarcella, R. & C. Zimmerman (1998). ESL student performance on a text of academiclexicon. Studies in Second language Acquisition, 20(1), 27–49. Schilling, H. E., Rayner, K., & Chumbley, J. I. (1998). Comparing naming, lexical decision,and eye fixation times: Word frequency effects and individual differences. Memory &Cognition, 26(6), 1270–1281. Schroeder, S., Hyönä, J., & Liversedge, S. P. (2015). Developmental eye-tracking research inreading: Introduction to the special issue. Journal of Cognitive Psychology, 27(5), 500–510. Smith, B. (2012). 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scholarly journals Random Spray Retinex Extensions Considering Region of Interest and EyeMovements

2020 ◽  
Vol 2020 (15) ◽  
pp. 60403-1-60403-6
Author(s):  
Midori Tanaka ◽  
Matteo Paolo Lanaro ◽  
Takahiko Horiuchi ◽  
Alessandro Rizzi
Keyword(s):  
Information Processing ◽  
Eye Movements ◽  
Visual Field ◽  
Eye Tracking ◽  
Mathematical Description ◽  
Visual Information ◽  
Tracking System ◽  
Region Of Interest ◽  
Tracking Data ◽  
Proposed Model

The Random spray Retinex (RSR) algorithm was developed by taking into consideration the mathematical description of Milano-Retinex. The RSR substituted random paths with random sprays. Mimicking some characteristics of the human visual system (HVS), this article proposes two variants of RSR adding a mechanism of region of interest (ROI). In the first proposed model, a cone distribution based on anatomical data is considered as ROI. In the second model, the visual resolution depending on the visual field based on the knowledge of visual information processing is considered as ROI. We have measured actual eye movements using an eye-tracking system. By using the eye-tracking data, we have simulated the HVS using test images. Results show an interesting qualitative computation of the appearance of the processed area around real gaze points.

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