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Journal articles on the topic 'Visual scanpaths'

Author: Grafiati

Published: 4 June 2021

Last updated: 19 February 2022

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1

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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2

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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3

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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7

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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8

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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9

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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10

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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11

Krichmar, Jeffrey L., Kim T. Blackwell, Garth S. Barbour, Alexander B. Golovan, and Thomas P. Vogl. "A solution to the feature correspondence problem inspired by visual scanpaths." Neurocomputing 26-27 (June 1999): 769–78. http://dx.doi.org/10.1016/s0925-2312(98)00146-5.

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12

Beedie, Sara A., David M. St.Clair, Dan P. Rujescu, and Philip J. Benson. "SMOOTH PURSUIT AND VISUAL SCANPATHS: RELATED OR INDEPENDENT DEFICITS IN SCHIZOPHRENIA?" Schizophrenia Research 117, no. 2-3 (2010): 247–48. http://dx.doi.org/10.1016/j.schres.2010.02.381.

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13

Williams, Leanne M., Carmel M. Loughland, Evian Gordon, and Dean Davidson. "Visual scanpaths in schizophrenia: is there a deficit in face recognition?" Schizophrenia Research 40, no. 3 (1999): 189–99. http://dx.doi.org/10.1016/s0920-9964(99)00056-0.

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14

Zangemeister, Wolfgang H., and Thomas Liman. "Foveal versus parafoveal scanpaths of visual imagery in virtual hemianopic subjects." Computers in Biology and Medicine 37, no. 7 (2007): 975–82. http://dx.doi.org/10.1016/j.compbiomed.2007.01.015.

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15

Loughland, Carmel M., Leanne M. Williams, and Evian Gordon. "Visual scanpaths to positive and negative facial emotions in an outpatient schizophrenia sample." Schizophrenia Research 55, no. 1-2 (2002): 159–70. http://dx.doi.org/10.1016/s0920-9964(01)00186-4.

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16

Beedie, Sara A., Philip J. Benson, Ina Giegling, Dan Rujescu, and David M. St. Clair. "Smooth pursuit and visual scanpaths: Independence of two candidate oculomotor risk markers for schizophrenia." World Journal of Biological Psychiatry 13, no. 3 (2011): 200–210. http://dx.doi.org/10.3109/15622975.2011.566628.

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17

Granholm, Eric, Robert F. Asarnow, and Stephen R. Marder. "Display visual angle and attentional scanpaths on the span of apprehension task in schizophrenia." Journal of Abnormal Psychology 105, no. 1 (1996): 17–24. http://dx.doi.org/10.1037/0021-843x.105.1.17.

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18

Marsh, Pamela J., and Leanne M. Williams. "ADHD and schizophrenia phenomenology: Visual scanpaths to emotional faces as a potential psychophysiological marker?" Neuroscience & Biobehavioral Reviews 30, no. 5 (2006): 651–65. http://dx.doi.org/10.1016/j.neubiorev.2005.11.004.

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19

Green, Melissa, Leanne Williams, and Dean Davidson. "Visual scanpaths and facial affect recognition in delusion-prone individuals: Increased sensitivity to threat?" Cognitive Neuropsychiatry 8, no. 1 (2003): 19–41. http://dx.doi.org/10.1080/713752236.

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20

Spilka, Michael J., Daniel J. Pittman, Signe L. Bray, and Vina M. Goghari. "Manipulating visual scanpaths during facial emotion perception modulates functional brain activation in schizophrenia patients and controls." Journal of Abnormal Psychology 128, no. 8 (2019): 855–66. http://dx.doi.org/10.1037/abn0000468.

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21

Dion-Marcoux, Y., C. Blais, D. Fiset, and H. Forget. "OVER-RELIANCE ON THE MOUTH AREA IN THE VISUAL SCANPATHS ARE ALSO OBSERVED WITH OLDER EMOTIONAL FACE." Innovation in Aging 1, suppl_1 (2017): 499–500. http://dx.doi.org/10.1093/geroni/igx004.1774.

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22

Liberati, Alessio, Roberta Fadda, Giuseppe Doneddu, et al. "A Statistical Physics Perspective to Understand Social Visual Attention in Autism Spectrum Disorder." Perception 46, no. 8 (2017): 889–913. http://dx.doi.org/10.1177/0301006616685976.

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This study investigated social visual attention in children with Autism Spectrum Disorder (ASD) and with typical development (TD) in the light of Brockmann and Geisel’s model of visual attention. The probability distribution of gaze movements and clustering of gaze points, registered with eye-tracking technology, was studied during a free visual exploration of a gaze stimulus. A data-driven analysis of the distribution of eye movements was chosen to overcome any possible methodological problems related to the subjective expectations of the experimenters about the informative contents of the im

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23

Palma Fraga, Ricardo, Ziho Kang, Jerry M. Crutchfield, and Saptarshi Mandal. "Visual Search and Conflict Mitigation Strategies Used by Expert en Route Air Traffic Controllers." Aerospace 8, no. 7 (2021): 170. http://dx.doi.org/10.3390/aerospace8070170.

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The role of the en route air traffic control specialist (ATCS) is vital to maintaining safety and efficiency within the National Airspace System (NAS). ATCSs must vigilantly scan the airspace under their control and adjacent airspaces using an En Route Automation Modernization (ERAM) radar display. The intent of this research is to provide an understanding of the expert controller visual search and aircraft conflict mitigation strategies that could be used as scaffolding methods during ATCS training. Interviews and experiments were conducted to elicit visual scanning and conflict mitigation st

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24

Marsh, P. J., I. Lazzaro, B. R. Manor, et al. "Facial expressions of emotion and visual scanpaths in attention-deficit hyperactivity disorder (ADHD) and first-episode psychosis (FEP)." Schizophrenia Research 41, no. 1 (2000): 288. http://dx.doi.org/10.1016/s0920-9964(00)91030-2.

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25

Li, Xian-Bin, Wen-Long Jiang, Yu-Jie Wen, et al. "The attenuated visual scanpaths of patients with schizophrenia whilst recognizing emotional facial expressions are worsened in natural social scenes." Schizophrenia Research 220 (June 2020): 155–63. http://dx.doi.org/10.1016/j.schres.2020.03.040.

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26

Mikula, Laura, Sergio Mejía-Romero, Romain Chaumillon, et al. "Eye-head coordination and dynamic visual scanning as indicators of visuo-cognitive demands in driving simulator." PLOS ONE 15, no. 12 (2020): e0240201. http://dx.doi.org/10.1371/journal.pone.0240201.

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Driving is an everyday task involving a complex interaction between visual and cognitive processes. As such, an increase in the cognitive and/or visual demands can lead to a mental overload which can be detrimental for driving safety. Compiling evidence suggest that eye and head movements are relevant indicators of visuo-cognitive demands and attention allocation. This study aims to investigate the effects of visual degradation on eye-head coordination as well as visual scanning behavior during a highly demanding task in a driving simulator. A total of 21 emmetropic participants (21 to 34 year

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27

Spilka, Michael, Daniel Pittman, Signe Bray, and Vina Goghari. "T212. Does Manipulating Visual Scanpaths During Facial Emotion Perception Modulate Brain Activation in Face-Processing Regions in Schizophrenia Patients and Controls?" Biological Psychiatry 83, no. 9 (2018): S210—S211. http://dx.doi.org/10.1016/j.biopsych.2018.02.549.

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28

Buzzelli, Marco. "Recent Advances in Saliency Estimation for Omnidirectional Images, Image Groups, and Video Sequences." Applied Sciences 10, no. 15 (2020): 5143. http://dx.doi.org/10.3390/app10155143.

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We present a review of methods for automatic estimation of visual saliency: the perceptual property that makes specific elements in a scene stand out and grab the attention of the viewer. We focus on domains that are especially recent and relevant, as they make saliency estimation particularly useful and/or effective: omnidirectional images, image groups for co-saliency, and video sequences. For each domain, we perform a selection of recent methods, we highlight their commonalities and differences, and describe their unique approaches. We also report and analyze the datasets involved in the de

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29

Pavlovskaya, Marina, Itzhak Glass, Nachum Soroker, Baruch Blum, and Zeev Groswasser. "Coordinate Frame for Pattern Recognition in Unilateral Spatial Neglect." Journal of Cognitive Neuroscience 9, no. 6 (1997): 824–34. http://dx.doi.org/10.1162/jocn.1997.9.6.824.

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The present research examines the effect of spatial (object-centered) attentional constraints on pattern recognition. Four normal subjects and two right-hemisphere-damaged patients with left visual neglect participated in the study. Small, letterlike, prelearned patterns served as stimuli. Short exposure time prevented overt scanpaths during stimulus presentation. Attention was attracted to a central (midsagittal) hation point by precuing this location prior to each stimulus presentation. Minute (up to 1.5° of visual angle) rightward and leftward stimulus shifts caused attention to be allocate

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30

Nam, Beomwoo, Yeseul Kim, Soo Rim Noh, and Taehyun Kim. "M135. DEVELOPMENT OF VISUAL SCANPATH PATTERN ANALYSIS BASED ON FACIAL EMOTION PERCEPTION ENHANCEMENT TRAINING PROGRAM IN SCHIZOPHRENIA PATIENTS." Schizophrenia Bulletin 46, Supplement_1 (2020): S186—S187. http://dx.doi.org/10.1093/schbul/sbaa030.447.

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Abstract Background Facial expression is an important non-verbal way of expressing the person’s emotional state. If the process of perceiving facial features is impaired, the ability to recognize the emotional state of others is degraded, which may make it difficult to maintain interpersonal and social communications. Many studies have reported on the association between deficit of facial emotion perception (FEP) and the social functioning in schizophrenia. Therefore, we developed visual scanpath pattern analysis based FEP enhancement training program in schizophrenia. Methods We enrolled pati

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31

Wynn, Jordana, Michael Bone, Michelle Dragan, Kari Hoffman, Bradley Buchsbaum, and Jennifer Ryan. "Selective scanpath repetition supports memory-guided visual search." Journal of Vision 15, no. 12 (2015): 789. http://dx.doi.org/10.1167/15.12.789.

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32

Wynn, Jordana S., Michael B. Bone, Michelle C. Dragan, Kari L. Hoffman, Bradley R. Buchsbaum, and Jennifer D. Ryan. "Selective scanpath repetition during memory-guided visual search." Visual Cognition 24, no. 1 (2016): 15–37. http://dx.doi.org/10.1080/13506285.2016.1175531.

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33

Fujita, Toyomi, and Claudio M. Privitera. "Positional Features and Algorithmic Predictability of Visual Regions-of-Interest in Robot Hand Movement." Journal of Robotics and Mechatronics 21, no. 6 (2009): 765–72. http://dx.doi.org/10.20965/jrm.2009.p0765.

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Visual functions are important for robots who engage in cooperative work with other robots. In order to develop an effective visual function for robots, we investigate human visual scanpath features in a scene of robot hand movement. Human regions-of-interest (hROIs) are measured in psychophysical experiments and compared using a positional similarity index,Sp, on the basis of scanpath theory. Results show consistent hROI loci due to dominant top-down active looking in such a scene. This paper also discusses how bottom-up image processing algorithms (IPAs) are able to predict hROIs. We compare

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34

Frame, Mary E., Rik Warren, and Anna M. Maresca. "Scanpath comparisons for complex visual search in a naturalistic environment." Behavior Research Methods 51, no. 3 (2018): 1454–70. http://dx.doi.org/10.3758/s13428-018-1154-0.

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35

Bate, Sarah, Catherine Haslam, and Timothy L. Hodgson. "Angry faces are special too: Evidence from the visual scanpath." Neuropsychology 23, no. 5 (2009): 658–67. http://dx.doi.org/10.1037/a0014518.

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36

Braunagel, Christian, David Geisler, Wolfgang Rosenstiel, and Enkelejda Kasneci. "Online Recognition of Driver-Activity Based on Visual Scanpath Classification." IEEE Intelligent Transportation Systems Magazine 9, no. 4 (2017): 23–36. http://dx.doi.org/10.1109/mits.2017.2743171.

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37

Augustyniak, P., and R. Tadeusiewicz. "Assessment of electrocardiogram visual interpretation strategy based on scanpath analysis." Physiological Measurement 27, no. 7 (2006): 597–608. http://dx.doi.org/10.1088/0967-3334/27/7/004.

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38

Pieters, Rik, Edward Rosbergen, and Michel Wedel. "Visual Attention to Repeated Print Advertising: A Test of Scanpath Theory." Journal of Marketing Research 36, no. 4 (1999): 424. http://dx.doi.org/10.2307/3151998.

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39

Pieters, Rik, Edward Rosbergen, and Michel Wedel. "Visual Attention to Repeated Print Advertising: A Test of Scanpath Theory." Journal of Marketing Research 36, no. 4 (1999): 424–38. http://dx.doi.org/10.1177/002224379903600403.

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40

Green, Melissa J., Leanne M. Williams, and David R. Hemsley. "Cognitive Theories of Delusion Formation: The Contribution of Visual Scanpath Research." Cognitive Neuropsychiatry 5, no. 1 (2000): 63–74. http://dx.doi.org/10.1080/135468000395835.

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41

Mondal, Kiran, Debojyoti Bhattacharyya, Deepti Majumdar, Roshani Meena, and Madhusudan Pal. "Visual Performance under Varying Illumination Conditions while using an Indigenously Developed Wrist Wearable Computer." Defence Life Science Journal 6, no. 3 (2021): 242–50. http://dx.doi.org/10.14429/dlsj.6.17170.

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Ambient illumination conditions have significant impact on users’ visual performance while carrying out onscreen reading tasks on visual display units, especially smaller screen sizes. Present study assessed the visual performance responses of different ambient illumination levels during onscreen reading on Wrist Wearable Computer (WWC) developed for the command-control-communication between the control room and the soldiers operating in remote locations. Ten (10) Indian Infantry soldiers performed two different types of loud reading tasks on the display of WWC under three different ambient il

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42

Yoo, Sangbong, Seongmin Jeong, and Yun Jang. "Gaze Behavior Effect on Gaze Data Visualization at Different Abstraction Levels." Sensors 21, no. 14 (2021): 4686. http://dx.doi.org/10.3390/s21144686.

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Many gaze data visualization techniques intuitively show eye movement together with visual stimuli. The eye tracker records a large number of eye movements within a short period. Therefore, visualizing raw gaze data with the visual stimulus appears complicated and obscured, making it difficult to gain insight through visualization. To avoid the complication, we often employ fixation identification algorithms for more abstract visualizations. In the past, many scientists have focused on gaze data abstraction with the attention map and analyzed detail gaze movement patterns with the scanpath vis

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43

McCabe, Kathryn, Dominique Rich, Carmel Maree Loughland, Ulrich Schall, and Linda Elisabet Campbell. "Visual scanpath abnormalities in 22q11.2 deletion syndrome: Is this a face specific deficit?" Psychiatry Research 189, no. 2 (2011): 292–98. http://dx.doi.org/10.1016/j.psychres.2011.06.012.

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44

Chen, Nigel Teik Ming, Laurenn Maree Thomas, Patrick Joseph Fraser Clarke, Ian Bernard Hickie, and Adam John Guastella. "Hyperscanning and avoidance in social anxiety disorder: The visual scanpath during public speaking." Psychiatry Research 225, no. 3 (2015): 667–72. http://dx.doi.org/10.1016/j.psychres.2014.11.025.

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45

Horley, Kaye, Leanne M. Williams, Craig Gonsalvez, and Evian Gordon. "Face to face: visual scanpath evidence for abnormal processing of facial expressions in social phobia." Psychiatry Research 127, no. 1-2 (2004): 43–53. http://dx.doi.org/10.1016/j.psychres.2004.02.016.

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46

Loughland, C. "Visual scanpath dysfunction in first-degree relatives of schizophrenia probands: evidence for a vulnerability marker?" Schizophrenia Research 67, no. 1 (2004): 11–21. http://dx.doi.org/10.1016/s0920-9964(03)00094-x.

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47

Toh, Wei Lin, Susan L. Rossell, and David J. Castle. "Current visual scanpath research: a review of investigations into the psychotic, anxiety, and mood disorders." Comprehensive Psychiatry 52, no. 6 (2011): 567–79. http://dx.doi.org/10.1016/j.comppsych.2010.12.005.

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48

FUJITA, Toyomi. "1A1-M07 Characteristics of Visual Regions-of-Interest in Robot Hand Movement Based on Scanpath Theory." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2009 (2009): _1A1—M07_1—_1A1—M07_4. http://dx.doi.org/10.1299/jsmermd.2009._1a1-m07_1.

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Han, Xueyan, Yang Shao, Shaowei Yang, and Peng Yu. "Entropy-Based Effect Evaluation of Delineators in Tunnels on Drivers’ Gaze Behavior." Entropy 22, no. 1 (2020): 113. http://dx.doi.org/10.3390/e22010113.

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Driving safety in tunnels has always been an issue of great concern. Establishing delineators to improve drivers’ instantaneous cognition of the surrounding environment in tunnels can effectively enhance driver safety. Through a simulation study, this paper explored how delineators affect drivers’ gaze behavior (including fixation and scanpath) in tunnels. In addition to analyzing typical parameters, such as fixation position and fixation duration in areas of interest (AOIs), by modeling drivers’ switching process as Markov chains and calculating Shannon’s entropy of the fit Markov model, this

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50

Loughland, C., K. McCabe, S. Quinn, M. Hunter, and T. Lewin. "01-04 Visual scanpath comparisons between those people with and without comorbid cannabis abuse: the implications for eye movement research in schizophrenia." Acta Neuropsychiatrica 18, no. 6 (2006): 314. http://dx.doi.org/10.1017/s0924270800031860.

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