Relevant bibliographies by topics / Visual scanpaths

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Visual scanpaths'

Author: Grafiati
Published: 4 June 2021
Last updated: 19 February 2022

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Journal articles on the topic "Visual scanpaths"

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Król, Michał, and Magdalena Ewa Król. "A Novel Eye Movement Data Transformation Technique that Preserves Temporal Information: A Demonstration in a Face Processing Task." Sensors 19, no. 10 (2019): 2377. http://dx.doi.org/10.3390/s19102377.

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Existing research has shown that human eye-movement data conveys rich information about underlying mental processes, and that the latter may be inferred from the former. However, most related studies rely on spatial information about which different areas of visual stimuli were looked at, without considering the order in which this occurred. Although powerful algorithms for making pairwise comparisons between eye-movement sequences (scanpaths) exist, the problem is how to compare two groups of scanpaths, e.g., those registered with vs. without an experimental manipulation in place, rather than
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Brandt, Stephan A., and Lawrence W. Stark. "Spontaneous Eye Movements During Visual Imagery Reflect the Content of the Visual Scene." Journal of Cognitive Neuroscience 9, no. 1 (1997): 27–38. http://dx.doi.org/10.1162/jocn.1997.9.1.27.

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In nine naïve subjects eye movements were recorded while subjects viewed and visualized four irregularly-checkered diagrams. Scanpaths, defined as repetitive sequences of fixations and saccades were found during visual imagery and viewing. Positions of fixations were distributed according to the spatial arrangement of subfeatures in the diagrams. For a particular imagined diagrammatic picture, eye movements were closely correlated with the eye movements recorded while viewing the same picture. Thus eye movements during imagery are not random but reflect the content of the visualized scene. The
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McClung, Sarah N., and Ziho Kang. "Characterization of Visual Scanning Patterns in Air Traffic Control." Computational Intelligence and Neuroscience 2016 (2016): 1–17. http://dx.doi.org/10.1155/2016/8343842.

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Characterization of air traffic controllers’ (ATCs’) visual scanning strategies is a challenging issue due to the dynamic movement of multiple aircraft and increasing complexity of scanpaths (order of eye fixations and saccades) over time. Additionally, terminologies and methods are lacking to accurately characterize the eye tracking data into simplified visual scanning strategies linguistically expressed by ATCs. As an intermediate step to automate the characterization classification process, we (1) defined and developed new concepts to systematically filter complex visual scanpaths into simp
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Król, Magdalena Ewa, and Michał Król. "Scanpath similarity measure reveals not only a decreased social preference, but also an increased nonsocial preference in individuals with autism." Autism 24, no. 2 (2019): 374–86. http://dx.doi.org/10.1177/1362361319865809.

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We compared scanpath similarity in response to repeated presentations of social and nonsocial images representing natural scenes in a sample of 30 participants with autism spectrum disorder and 32 matched typically developing individuals. We used scanpath similarity (calculated using ScanMatch) as a novel measure of attentional bias or preference, which constrains eye-movement patterns by directing attention to specific visual or semantic features of the image. We found that, compared with the control group, scanpath similarity of participants with autism was significantly higher in response t
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Gbadamosi, Joystone, and Wolfgang H. Zangemeister. "Visual Imagery in Hemianopic Patients." Journal of Cognitive Neuroscience 13, no. 7 (2001): 855–66. http://dx.doi.org/10.1162/089892901753165782.

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In this article we report some findings about visual imagery in patients with stable homonymous hemianopia compared to healthy control subjects. These findings were obtained by analyzing the gaze control through recording of eye movements in different phases of viewing and imagery. We used six different visual stimuli for the consecutive viewing and imagery phases. With infrared oculography, we recorded eye movements during this presentation phase and in three subsequent imagery phases in absence of the stimulus. Analyzing the basic parameters of the gaze sequences (known as “scanpaths”), we d
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Green, Melissa J., Leanne M. Williams, and Dean Davidson. "Visual scanpaths to threat-related faces in deluded schizophrenia." Psychiatry Research 119, no. 3 (2003): 271–85. http://dx.doi.org/10.1016/s0165-1781(03)00129-x.

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Wollstadt, Patricia, Martina Hasenjäger, and Christiane B. Wiebel-Herboth. "Quantifying the Predictability of Visual Scanpaths Using Active Information Storage." Entropy 23, no. 2 (2021): 167. http://dx.doi.org/10.3390/e23020167.

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Entropy-based measures are an important tool for studying human gaze behavior under various conditions. In particular, gaze transition entropy (GTE) is a popular method to quantify the predictability of a visual scanpath as the entropy of transitions between fixations and has been shown to correlate with changes in task demand or changes in observer state. Measuring scanpath predictability is thus a promising approach to identifying viewers’ cognitive states in behavioral experiments or gaze-based applications. However, GTE does not account for temporal dependencies beyond two consecutive fixa
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Drusch, Gautier, and J. M. Christian Bastien. "Analyzing Web pages visual scanpaths: between and within tasks variability." Work 41 (2012): 1559–66. http://dx.doi.org/10.3233/wor-2012-0353-1559.

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Laeng, Bruno, and Dinu-Stefan Teodorescu. "Eye scanpaths during visual imagery reenact those of perception of the same visual scene." Cognitive Science 26, no. 2 (2002): 207–31. http://dx.doi.org/10.1207/s15516709cog2602_3.

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Boccignone, Giuseppe, and Mario Ferraro. "Feed and fly control of visual scanpaths for foveation image processing." annals of telecommunications - annales des télécommunications 68, no. 3-4 (2012): 201–17. http://dx.doi.org/10.1007/s12243-012-0316-9.

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Dissertations / Theses on the topic "Visual scanpaths"

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Green, Melissa Jayne. "Facial affect processing in delusion-prone and deluded individuals: A continuum approach to the study of delusion formation." University of Sydney. Psychology, 2002. http://hdl.handle.net/2123/792.

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This thesis examines attentional and cognitive biases for particular facial expressions in delusion-prone and deluded individuals. The exploration of cognitive biases in delusion-prone individuals provides one means of elucidating psychological processes that might be involved in the genesis of delusions. Chapter 1 provides a brief review of the continuum approach to schizophrenia, and outlines recent theoretical conceptualisations of delusions. The study of schizophrenia phenomena at the symptom level has become a popular method of inquiry, given the heterogeneous phenotypic expression of
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Meyer, Eric C. "A visual scanpath study of facial affect recognition in schizotypy and social anxiety." Diss., Online access via UMI:, 2005.

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Castner, Nora Jane [Verfasser]. "Gaze and visual scanpath features for data-driven expertise recognition in medical image inspection / Nora Jane Castner." Tübingen : Universitätsbibliothek Tübingen, 2020. http://d-nb.info/1223451429/34.

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Harding, Glen, and Marina Bloj. "Real and predicted influence of image manipulations on eye movements during scene recognition." 2010. http://hdl.handle.net/10454/4716.

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No<br>In this paper, we investigate how controlled changes to image properties and orientation affect eye movements for repeated viewings of images of natural scenes. We make changes to images by manipulating low-level image content (such as luminance or chromaticity) and/or inverting the image. We measure the effects of these manipulations on human scanpaths (the spatial and chronological path of fixations), additionally comparing these effects to those predicted by a widely used saliency model (L. Itti & C. Koch, 2000). Firstly we find that repeated viewing of a natural image does not signif
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Book chapters on the topic "Visual scanpaths"

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Duan, Lijuan, Haitao Qiao, Chunpeng Wu, Zhen Yang, and Wei Ma. "Modeling of Human Saccadic Scanpaths Based on Visual Saliency." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-01796-9_28.

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Eraslan, Sukru, Yeliz Yesilada, and Simon Harper. "Identifying Patterns in Eyetracking Scanpaths in Terms of Visual Elements of Web Pages." In Lecture Notes in Computer Science. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08245-5_10.

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Cerf, Moran, Jonathan Harel, Alex Huth, Wolfgang Einhäuser, and Christof Koch. "Decoding What People See from Where They Look: Predicting Visual Stimuli from Scanpaths." In Attention in Cognitive Systems. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-00582-4_2.

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Teng, Clare, Harshita Sharma, Lior Drukker, Aris T. Papageorghiou, and J. Alison Noble. "Towards Scale and Position Invariant Task Classification Using Normalised Visual Scanpaths in Clinical Fetal Ultrasound." In Simplifying Medical Ultrasound. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-87583-1_13.

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Assens, Marc, Xavier Giro-i-Nieto, Kevin McGuinness, and Noel E. O’Connor. "PathGAN: Visual Scanpath Prediction with Generative Adversarial Networks." In Lecture Notes in Computer Science. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-11021-5_25.

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Zangemeister, Wolfgang H., and Ulrich Oechsner. "Evidence for scanpaths in hemianopic patients shown through string editing methods." In Visual Attention and Cognition. Elsevier, 1996. http://dx.doi.org/10.1016/s0166-4115(96)80078-1.

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Stark, Lawrence W., and Yun S. Choi. "Experimental metaphysics: The scanpath as an epistemological mechanism." In Visual Attention and Cognition. Elsevier, 1996. http://dx.doi.org/10.1016/s0166-4115(96)80069-0.

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Conference papers on the topic "Visual scanpaths"

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Chen, Zhenzhong, and Wanjie Sun. "Scanpath Prediction for Visual Attention using IOR-ROI LSTM." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/89.

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Predicting scanpath when a certain stimulus is presented plays an important role in modeling visual attention and search. This paper presents a model that integrates convolutional neural network and long short-term memory (LSTM) to generate realistic scanpaths. The core part of the proposed model is a dual LSTM unit, i.e., an inhibition of return LSTM (IOR-LSTM) and a region of interest LSTM (ROI-LSTM), capturing IOR dynamics and gaze shift behavior simultaneously. IOR-LSTM simulates the visual working memory to adaptively integrate and forget scene information. ROI-LSTM is responsible for pre
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Raptis, George E., and Christina Katsini. "Analyzing Scanpaths From A Field Dependence-Independence Perspective When Playing A Visual Search Game." In ETRA '21: 2021 Symposium on Eye Tracking Research and Applications. ACM, 2021. http://dx.doi.org/10.1145/3448018.3459655.

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Drusch, Gautier, and J. M. Christian Bastien. "Analyzing visual scanpaths on the Web using the mean shift procedure and T-pattern detection." In the 2012 Conference. ACM Press, 2012. http://dx.doi.org/10.1145/2652574.2653432.

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Carette, Romuald, Mahmoud Elbattah, Federica Cilia, Gilles Dequen, Jean-Luc Guérin, and Jérôme Bosche. "Learning to Predict Autism Spectrum Disorder based on the Visual Patterns of Eye-tracking Scanpaths." In 12th International Conference on Health Informatics. SCITEPRESS - Science and Technology Publications, 2019. http://dx.doi.org/10.5220/0007402601030112.

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Goldberg, Joseph H., and Jonathan I. Helfman. "Visual scanpath representation." In the 2010 Symposium. ACM Press, 2010. http://dx.doi.org/10.1145/1743666.1743717.

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Verma, Ashish, and Debashis Sen. "HMM-based Convolutional LSTM for Visual Scanpath Prediction." In 2019 27th European Signal Processing Conference (EUSIPCO). IEEE, 2019. http://dx.doi.org/10.23919/eusipco.2019.8902643.

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Ho, Yeuk F., and Lawrence W. Stark. "Scanpath-based model for visual tracking of telerobots." In Electronic Imaging, edited by Bernice E. Rogowitz and Thrasyvoulos N. Pappas. SPIE, 2000. http://dx.doi.org/10.1117/12.387198.

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Han, Rui, and Shuangjiu Xiao. "Human Visual Scanpath Prediction Based on RGB-D Saliency." In the 2018 International Conference. ACM Press, 2018. http://dx.doi.org/10.1145/3191442.3191463.

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Li, Aoqi, and Zhenzhong Chen. "Individual trait oriented scanpath prediction for visual attention analysis." In 2017 IEEE International Conference on Image Processing (ICIP). IEEE, 2017. http://dx.doi.org/10.1109/icip.2017.8296982.

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Li, Aoqi, Yingxue Zhang, and Zhenzhong Chen. "Scanpath mining of eye movement trajectories for visual attention analysis." In 2017 IEEE International Conference on Multimedia and Expo (ICME). IEEE, 2017. http://dx.doi.org/10.1109/icme.2017.8019507.

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