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Showing 1 to 12 of 21 entries
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The identification of children with autism spectrum disorder by SVM approach on EEG and eye-tracking data.

Computers in biology and medicine

Kang J, Han X, Song J, Niu Z, Li X.
PMID: 32250854
Comput Biol Med. 2020 May;120:103722. doi: 10.1016/j.compbiomed.2020.103722. Epub 2020 Mar 23.

OBJECTIVE: To identify autistic children, we used features extracted from two modalities (EEG and eye-tracking) as input to a machine learning approach (SVM).METHODS: A total of 97 children aged from 3 to 6 were enrolled in the present study....

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Kang J, Han X, Song J, et al. The identification of children with autism spectrum disorder by SVM approach on EEG and eye-tracking data. Comput Biol Med. 2020;120:103722doi: 10.1016/j.compbiomed.2020.103722.
Kang, J., Han, X., Song, J., Niu, Z., & Li, X. (2020). The identification of children with autism spectrum disorder by SVM approach on EEG and eye-tracking data. Computers in biology and medicine, 120103722. https://doi.org/10.1016/j.compbiomed.2020.103722
Kang, Jiannan, et al. "The identification of children with autism spectrum disorder by SVM approach on EEG and eye-tracking data." Computers in biology and medicine vol. 120 (2020): 103722. doi: https://doi.org/10.1016/j.compbiomed.2020.103722
Kang J, Han X, Song J, Niu Z, Li X. The identification of children with autism spectrum disorder by SVM approach on EEG and eye-tracking data. Comput Biol Med. 2020 May;120:103722. doi: 10.1016/j.compbiomed.2020.103722. Epub 2020 Mar 23. PMID: 32250854.
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Best practices in eye tracking research.

International journal of psychophysiology : official journal of the International Organization of Psychophysiology

Carter BT, Luke SG.
PMID: 32504653
Int J Psychophysiol. 2020 Sep;155:49-62. doi: 10.1016/j.ijpsycho.2020.05.010. Epub 2020 Jun 03.

This guide describes best practices in using eye tracking technology for research in a variety of disciplines. A basic outline of the anatomy and physiology of the eyes and of eye movements is provided, along with a description of...

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Carter BT, Luke SG. Best practices in eye tracking research. Int J Psychophysiol. 2020;155:49-62doi: 10.1016/j.ijpsycho.2020.05.010.
Carter, B. T., & Luke, S. G. (2020). Best practices in eye tracking research. International journal of psychophysiology : official journal of the International Organization of Psychophysiology, 15549-62. https://doi.org/10.1016/j.ijpsycho.2020.05.010
Carter, Benjamin T, and Luke, Steven G. "Best practices in eye tracking research." International journal of psychophysiology : official journal of the International Organization of Psychophysiology vol. 155 (2020): 49-62. doi: https://doi.org/10.1016/j.ijpsycho.2020.05.010
Carter BT, Luke SG. Best practices in eye tracking research. Int J Psychophysiol. 2020 Sep;155:49-62. doi: 10.1016/j.ijpsycho.2020.05.010. Epub 2020 Jun 03. PMID: 32504653.
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How do social media users process cancer prevention messages on Facebook? An eye-tracking study.

Patient education and counseling

Chou WS, Trivedi N, Peterson E, Gaysynsky A, Krakow M, Vraga E.
PMID: 32044193
Patient Educ Couns. 2020 Jun;103(6):1161-1167. doi: 10.1016/j.pec.2020.01.013. Epub 2020 Jan 28.

OBJECTIVE: The quality of cancer-related information on social media (SM) is mixed, and exposure to inaccurate information may negatively affect knowledge, attitudes, and behaviors. This study examines SM users' attention to simulated Facebook posts related to cancer and identifies...

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Chou WS, Trivedi N, Peterson E, et al. How do social media users process cancer prevention messages on Facebook? An eye-tracking study. Patient Educ Couns. 2020;103(6):1161-1167doi: 10.1016/j.pec.2020.01.013.
Chou, W. S., Trivedi, N., Peterson, E., Gaysynsky, A., Krakow, M., & Vraga, E. (2020). How do social media users process cancer prevention messages on Facebook? An eye-tracking study. Patient education and counseling, 103(6), 1161-1167. https://doi.org/10.1016/j.pec.2020.01.013
Chou, Wen-Ying Sylvia, et al. "How do social media users process cancer prevention messages on Facebook? An eye-tracking study." Patient education and counseling vol. 103,6 (2020): 1161-1167. doi: https://doi.org/10.1016/j.pec.2020.01.013
Chou WS, Trivedi N, Peterson E, Gaysynsky A, Krakow M, Vraga E. How do social media users process cancer prevention messages on Facebook? An eye-tracking study. Patient Educ Couns. 2020 Jun;103(6):1161-1167. doi: 10.1016/j.pec.2020.01.013. Epub 2020 Jan 28. PMID: 32044193.
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Integrating Eye-Tracking to Augmented Reality System for Surgical Training.

Journal of medical systems

Lu S, Sanchez Perdomo YP, Jiang X, Zheng B.
PMID: 32990801
J Med Syst. 2020 Sep 29;44(11):192. doi: 10.1007/s10916-020-01656-w.

Augmented Reality has been utilized for surgical training. During the implementation, displaying instructional information at the right moment is critical for skill acquisition. We built a new surgical training platform combining augmented reality system (HoloLens, Microsoft) with an eye-tracker...

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Lu S, Sanchez Perdomo YP, Jiang X, et al. Integrating Eye-Tracking to Augmented Reality System for Surgical Training. J Med Syst. 2020;44(11):192doi: 10.1007/s10916-020-01656-w.
Lu, S., Sanchez Perdomo, Y. P., Jiang, X., & Zheng, B. (2020). Integrating Eye-Tracking to Augmented Reality System for Surgical Training. Journal of medical systems, 44(11), 192. https://doi.org/10.1007/s10916-020-01656-w
Lu, Shang, et al. "Integrating Eye-Tracking to Augmented Reality System for Surgical Training." Journal of medical systems vol. 44,11 (2020): 192. doi: https://doi.org/10.1007/s10916-020-01656-w
Lu S, Sanchez Perdomo YP, Jiang X, Zheng B. Integrating Eye-Tracking to Augmented Reality System for Surgical Training. J Med Syst. 2020 Sep 29;44(11):192. doi: 10.1007/s10916-020-01656-w. PMID: 32990801.
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Is a Negative Attentional Bias in Individuals with Autism Spectrum Disorder Explained by Comorbid Depression? An Eye-Tracking Study.

Journal of autism and developmental disorders

Bergman MA, Vrijsen JN, Rinck M, van Oostrom I, Kan CC, Collard RM, van Eijndhoven P, Vissers CTWM, Schene AH.
PMID: 33491119
J Autism Dev Disord. 2021 Nov;51(11):4213-4226. doi: 10.1007/s10803-021-04880-6. Epub 2021 Jan 24.

Heightened attention towards negative information is characteristic of depression. Evidence is emerging for a negative attentional bias in Autism spectrum disorder (ASD), perhaps driven by the high comorbidity between ASD and depression. We investigated whether ASD is characterised by...

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Bergman MA, Vrijsen JN, Rinck M, et al. Is a Negative Attentional Bias in Individuals with Autism Spectrum Disorder Explained by Comorbid Depression? An Eye-Tracking Study. J Autism Dev Disord. 2021;51(11):4213-4226doi: 10.1007/s10803-021-04880-6.
Bergman, M. A., Vrijsen, J. N., Rinck, M., van Oostrom, I., Kan, C. C., Collard, R. M., van Eijndhoven, P., Vissers, C. T. W. M., & Schene, A. H. (2021). Is a Negative Attentional Bias in Individuals with Autism Spectrum Disorder Explained by Comorbid Depression? An Eye-Tracking Study. Journal of autism and developmental disorders, 51(11), 4213-4226. https://doi.org/10.1007/s10803-021-04880-6
Bergman, M Annemiek, et al. "Is a Negative Attentional Bias in Individuals with Autism Spectrum Disorder Explained by Comorbid Depression? An Eye-Tracking Study." Journal of autism and developmental disorders vol. 51,11 (2021): 4213-4226. doi: https://doi.org/10.1007/s10803-021-04880-6
Bergman MA, Vrijsen JN, Rinck M, van Oostrom I, Kan CC, Collard RM, van Eijndhoven P, Vissers CTWM, Schene AH. Is a Negative Attentional Bias in Individuals with Autism Spectrum Disorder Explained by Comorbid Depression? An Eye-Tracking Study. J Autism Dev Disord. 2021 Nov;51(11):4213-4226. doi: 10.1007/s10803-021-04880-6. Epub 2021 Jan 24. PMID: 33491119; PMCID: PMC8510933.
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Trait mindfulness and attention to emotional information: An eye tracking study.

Consciousness and cognition

Kraines MA, Kelberer LJA, Krug Marks CP, Wells TT.
PMID: 34601355
Conscious Cogn. 2021 Oct;95:103213. doi: 10.1016/j.concog.2021.103213. Epub 2021 Sep 30.

Biased attention for emotional information is associated with the emotional disorders. Trait mindfulness is associated with lower depression and anxiety and with improved attentional control. Mindfulness is also related to lower levels of brooding rumination. The current study examined...

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Kraines MA, Kelberer LJA, Krug Marks CP, et al. Trait mindfulness and attention to emotional information: An eye tracking study. Conscious Cogn. 2021;95:103213doi: 10.1016/j.concog.2021.103213.
Kraines, M. A., Kelberer, L. J. A., Krug Marks, C. P., & Wells, T. T. (2021). Trait mindfulness and attention to emotional information: An eye tracking study. Consciousness and cognition, 95103213. https://doi.org/10.1016/j.concog.2021.103213
Kraines, Morganne A, et al. "Trait mindfulness and attention to emotional information: An eye tracking study." Consciousness and cognition vol. 95 (2021): 103213. doi: https://doi.org/10.1016/j.concog.2021.103213
Kraines MA, Kelberer LJA, Krug Marks CP, Wells TT. Trait mindfulness and attention to emotional information: An eye tracking study. Conscious Cogn. 2021 Oct;95:103213. doi: 10.1016/j.concog.2021.103213. Epub 2021 Sep 30. PMID: 34601355.
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An interactive eye-tracking system for measuring radiologists' visual fixations in volumetric CT images: Implementation and initial eye-tracking accuracy validation.

Medical physics

Gong H, Hsieh SS, Holmes DR, Cook DA, Inoue A, Bartlett DJ, Baffour F, Takahashi H, Leng S, Yu L, McCollough CH, Fletcher JG.
PMID: 34534365
Med Phys. 2021 Nov;48(11):6710-6723. doi: 10.1002/mp.15219. Epub 2021 Oct 06.

PURPOSE: Eye-tracking approaches have been used to understand the visual search process in radiology. However, previous eye-tracking work in computer tomography (CT) has been limited largely to single cross-sectional images or video playback of the reconstructed volume, which do...

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Gong H, Hsieh SS, Holmes DR, et al. An interactive eye-tracking system for measuring radiologists' visual fixations in volumetric CT images: Implementation and initial eye-tracking accuracy validation. Med Phys. 2021;48(11):6710-6723doi: 10.1002/mp.15219.
Gong, H., Hsieh, S. S., Holmes, D. R., Cook, D. A., Inoue, A., Bartlett, D. J., Baffour, F., Takahashi, H., Leng, S., Yu, L., McCollough, C. H., & Fletcher, J. G. (2021). An interactive eye-tracking system for measuring radiologists' visual fixations in volumetric CT images: Implementation and initial eye-tracking accuracy validation. Medical physics, 48(11), 6710-6723. https://doi.org/10.1002/mp.15219
Gong, Hao, et al. "An interactive eye-tracking system for measuring radiologists' visual fixations in volumetric CT images: Implementation and initial eye-tracking accuracy validation." Medical physics vol. 48,11 (2021): 6710-6723. doi: https://doi.org/10.1002/mp.15219
Gong H, Hsieh SS, Holmes DR, Cook DA, Inoue A, Bartlett DJ, Baffour F, Takahashi H, Leng S, Yu L, McCollough CH, Fletcher JG. An interactive eye-tracking system for measuring radiologists' visual fixations in volumetric CT images: Implementation and initial eye-tracking accuracy validation. Med Phys. 2021 Nov;48(11):6710-6723. doi: 10.1002/mp.15219. Epub 2021 Oct 06. PMID: 34534365; PMCID: PMC8595866.
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Visual preference for social vs. non-social images in young children with autism spectrum disorders. An eye tracking study.

PloS one

Vacas J, Antolí A, Sánchez-Raya A, Pérez-Dueñas C, Cuadrado F.
PMID: 34086803
PLoS One. 2021 Jun 04;16(6):e0252795. doi: 10.1371/journal.pone.0252795. eCollection 2021.

Autism Spectrum Disorders (ASD) are associated to social attention (SA) impairments. A gaze bias to non-social objects over faces has been proposed as an early marker of ASD. This bias may be related to the concomitant circumscribed interests (CI),...

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Vacas J, Antolí A, Sánchez-Raya A, et al. Visual preference for social vs. non-social images in young children with autism spectrum disorders. An eye tracking study. PLoS One. 2021;16(6):e0252795doi: 10.1371/journal.pone.0252795.
Vacas, J., Antolí, A., Sánchez-Raya, A., Pérez-Dueñas, C., & Cuadrado, F. (2021). Visual preference for social vs. non-social images in young children with autism spectrum disorders. An eye tracking study. PloS one, 16(6), e0252795. https://doi.org/10.1371/journal.pone.0252795
Vacas, Julia, et al. "Visual preference for social vs. non-social images in young children with autism spectrum disorders. An eye tracking study." PloS one vol. 16,6 (2021): e0252795. doi: https://doi.org/10.1371/journal.pone.0252795
Vacas J, Antolí A, Sánchez-Raya A, Pérez-Dueñas C, Cuadrado F. Visual preference for social vs. non-social images in young children with autism spectrum disorders. An eye tracking study. PLoS One. 2021 Jun 04;16(6):e0252795. doi: 10.1371/journal.pone.0252795. eCollection 2021. PMID: 34086803; PMCID: PMC8177541.
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On the Improvement of Eye Tracking-Based Cognitive Workload Estimation Using Aggregation Functions.

Sensors (Basel, Switzerland)

Kaczorowska M, Karczmarek P, Plechawska-Wójcik M, Tokovarov M.
PMID: 34283098
Sensors (Basel). 2021 Jul 02;21(13). doi: 10.3390/s21134542.

Cognitive workload, being a quantitative measure of mental effort, draws significant interest of researchers, as it allows to monitor the state of mental fatigue. Estimation of cognitive workload becomes especially important for job positions requiring outstanding engagement and responsibility,...

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Kaczorowska M, Karczmarek P, Plechawska-Wójcik M, et al. On the Improvement of Eye Tracking-Based Cognitive Workload Estimation Using Aggregation Functions. Sensors (Basel). 2021;21(13)doi: 10.3390/s21134542.
Kaczorowska, M., Karczmarek, P., Plechawska-Wójcik, M., & Tokovarov, M. (2021). On the Improvement of Eye Tracking-Based Cognitive Workload Estimation Using Aggregation Functions. Sensors (Basel, Switzerland), 21(13), . https://doi.org/10.3390/s21134542
Kaczorowska, Monika, et al. "On the Improvement of Eye Tracking-Based Cognitive Workload Estimation Using Aggregation Functions." Sensors (Basel, Switzerland) vol. 21,13 (2021). doi: https://doi.org/10.3390/s21134542
Kaczorowska M, Karczmarek P, Plechawska-Wójcik M, Tokovarov M. On the Improvement of Eye Tracking-Based Cognitive Workload Estimation Using Aggregation Functions. Sensors (Basel). 2021 Jul 02;21(13). doi: 10.3390/s21134542. PMID: 34283098; PMCID: PMC8272248.
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Using 2D video-based pose estimation for automated prediction of autism spectrum disorders in young children.

Scientific reports

Kojovic N, Natraj S, Mohanty SP, Maillart T, Schaer M.
PMID: 34301963
Sci Rep. 2021 Jul 23;11(1):15069. doi: 10.1038/s41598-021-94378-z.

Clinical research in autism has recently witnessed promising digital phenotyping results, mainly focused on single feature extraction, such as gaze, head turn on name-calling or visual tracking of the moving object. The main drawback of these studies is the...

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Kojovic N, Natraj S, Mohanty SP, et al. Using 2D video-based pose estimation for automated prediction of autism spectrum disorders in young children. Sci Rep. 2021;11(1):15069doi: 10.1038/s41598-021-94378-z.
Kojovic, N., Natraj, S., Mohanty, S. P., Maillart, T., & Schaer, M. (2021). Using 2D video-based pose estimation for automated prediction of autism spectrum disorders in young children. Scientific reports, 11(1), 15069. https://doi.org/10.1038/s41598-021-94378-z
Kojovic, Nada, et al. "Using 2D video-based pose estimation for automated prediction of autism spectrum disorders in young children." Scientific reports vol. 11,1 (2021): 15069. doi: https://doi.org/10.1038/s41598-021-94378-z
Kojovic N, Natraj S, Mohanty SP, Maillart T, Schaer M. Using 2D video-based pose estimation for automated prediction of autism spectrum disorders in young children. Sci Rep. 2021 Jul 23;11(1):15069. doi: 10.1038/s41598-021-94378-z. PMID: 34301963; PMCID: PMC8302646.
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Predicting Visuo-Motor Diseases From Eye Tracking Data.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing

Vodrahalli K, Filipkowski M, Chen T, Zou J, Liao YJ.
PMID: 34890153
Pac Symp Biocomput. 2022;27:242-253.

Eye tracking, or oculography, provides insight into where a person is looking. Recent advances in camera technology and machine learning have enabled prevalent devices like smart-phones to track gaze and visuo-motor behavior at near clinical-quality resolution. A critical gap...

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Vodrahalli K, Filipkowski M, Chen T, et al. Predicting Visuo-Motor Diseases From Eye Tracking Data. Pac Symp Biocomput. 2022;27:242-253
Vodrahalli, K., Filipkowski, M., Chen, T., Zou, J., & Liao, Y. J. (2022). Predicting Visuo-Motor Diseases From Eye Tracking Data. Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing, 27242-253.
Vodrahalli, Kailas, et al. "Predicting Visuo-Motor Diseases From Eye Tracking Data." Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing vol. 27 (2022): 242-253.
Vodrahalli K, Filipkowski M, Chen T, Zou J, Liao YJ. Predicting Visuo-Motor Diseases From Eye Tracking Data. Pac Symp Biocomput. 2022;27:242-253. PMID: 34890153.
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Illuminating Autism Spectrum Disorder With Eye Tracking.

Biological psychiatry. Cognitive neuroscience and neuroimaging

Kennedy DP.
PMID: 34366092
Biol Psychiatry Cogn Neurosci Neuroimaging. 2021 Aug;6(8):765-766. doi: 10.1016/j.bpsc.2021.04.007.

No abstract available.

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Kennedy DP. Illuminating Autism Spectrum Disorder With Eye Tracking. Biol Psychiatry Cogn Neurosci Neuroimaging. 2021;6(8):765-766doi: 10.1016/j.bpsc.2021.04.007.
Kennedy, D. P. (2021). Illuminating Autism Spectrum Disorder With Eye Tracking. Biological psychiatry. Cognitive neuroscience and neuroimaging, 6(8), 765-766. https://doi.org/10.1016/j.bpsc.2021.04.007
Kennedy, Daniel P. "Illuminating Autism Spectrum Disorder With Eye Tracking." Biological psychiatry. Cognitive neuroscience and neuroimaging vol. 6,8 (2021): 765-766. doi: https://doi.org/10.1016/j.bpsc.2021.04.007
Kennedy DP. Illuminating Autism Spectrum Disorder With Eye Tracking. Biol Psychiatry Cogn Neurosci Neuroimaging. 2021 Aug;6(8):765-766. doi: 10.1016/j.bpsc.2021.04.007. PMID: 34366092.
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Showing 1 to 12 of 21 entries