Suppr超能文献

重新审视雅尔布斯:未能从眼动模式预测观察者的任务。

Reconsidering Yarbus: a failure to predict observers' task from eye movement patterns.

作者信息

Greene Michelle R, Liu Tommy, Wolfe Jeremy M

机构信息

Brigham & Women's Hospital, Boston, MA, United States.

出版信息

Vision Res. 2012 Jun 1;62:1-8. doi: 10.1016/j.visres.2012.03.019. Epub 2012 Apr 2.

Abstract

In 1967, Yarbus presented qualitative data from one observer showing that the patterns of eye movements were dramatically affected by an observer's task, suggesting that complex mental states could be inferred from scan paths. The strong claim of this very influential finding has never been rigorously tested. Our observers viewed photographs for 10s each. They performed one of four image-based tasks while eye movements were recorded. A pattern classifier, given features from the static scan paths, could identify the image and the observer at above-chance levels. However, it could not predict a viewer's task. Shorter and longer (60s) viewing epochs produced similar results. Critically, human judges also failed to identify the tasks performed by the observers based on the static scan paths. The Yarbus finding is evocative, and while it is possible an observer's mental state might be decoded from some aspect of eye movements, static scan paths alone do not appear to be adequate to infer complex mental states of an observer.

摘要

1967年,亚尔布斯展示了来自一名观察者的定性数据,表明眼球运动模式会受到观察者任务的显著影响,这意味着可以从扫描路径推断出复杂的心理状态。这一极具影响力的发现所提出的有力论断从未得到过严格验证。我们的观察者每人观看照片10秒。他们在记录眼球运动的同时执行四项基于图像的任务之一。一个模式分类器,根据静态扫描路径的特征,可以在高于随机水平的情况下识别图像和观察者。然而,它无法预测观看者的任务。较短和较长(60秒)的观看时段产生了类似的结果。至关重要的是,人类评判者也无法根据静态扫描路径识别观察者所执行的任务。亚尔布斯的发现很有启发性,虽然有可能从眼球运动的某些方面解码观察者的心理状态,但仅靠静态扫描路径似乎不足以推断观察者的复杂心理状态。

相似文献

1
Reconsidering Yarbus: a failure to predict observers' task from eye movement patterns.
Vision Res. 2012 Jun 1;62:1-8. doi: 10.1016/j.visres.2012.03.019. Epub 2012 Apr 2.
2
Defending Yarbus: eye movements reveal observers' task.
J Vis. 2014 Mar 24;14(3):29. doi: 10.1167/14.3.29.
3
An inverse Yarbus process: predicting observers' task from eye movement patterns.
Vision Res. 2014 Oct;103:127-42. doi: 10.1016/j.visres.2014.08.014. Epub 2014 Aug 28.
4
Observers' cognitive states modulate how visual inputs relate to gaze control.
J Exp Psychol Hum Percept Perform. 2016 Sep;42(9):1429-42. doi: 10.1037/xhp0000224. Epub 2016 Apr 28.
5
What do saliency models predict?
J Vis. 2014 Mar 11;14(3):14. doi: 10.1167/14.3.14.
6
Temporal eye movement strategies during naturalistic viewing.
J Vis. 2012 Jan 19;12(1):16. doi: 10.1167/12.1.16.
7
Oculomotor capture during real-world scene viewing depends on cognitive load.
Vision Res. 2011 Mar 25;51(6):546-52. doi: 10.1016/j.visres.2011.01.014. Epub 2011 Feb 15.
8
Learning optimal eye movements to unusual faces.
Vision Res. 2014 Jun;99:57-68. doi: 10.1016/j.visres.2013.11.005. Epub 2013 Nov 26.
10
Comparing eye movements during position tracking and identity tracking: No evidence for separate systems.
Atten Percept Psychophys. 2018 Feb;80(2):453-460. doi: 10.3758/s13414-017-1447-x.

引用本文的文献

1
A review of machine learning in scanpath analysis for passive gaze-based interaction.
Front Artif Intell. 2024 Jun 5;7:1391745. doi: 10.3389/frai.2024.1391745. eCollection 2024.
2
Teaching through their eyes: effects on optometry teachers' adaptivity and students' learning when teachers see students' gaze.
Adv Health Sci Educ Theory Pract. 2024 Nov;29(5):1735-1748. doi: 10.1007/s10459-024-10325-3. Epub 2024 Apr 10.
3
Machine learning classification of diagnostic accuracy in pathologists interpreting breast biopsies.
J Am Med Inform Assoc. 2024 Feb 16;31(3):552-562. doi: 10.1093/jamia/ocad232.
4
Thinking eyes: visual thinking strategies and the social brain.
Front Psychol. 2023 Sep 27;14:1222608. doi: 10.3389/fpsyg.2023.1222608. eCollection 2023.
5
Predicting the attention of others.
Proc Natl Acad Sci U S A. 2023 Oct 17;120(42):e2307584120. doi: 10.1073/pnas.2307584120. Epub 2023 Oct 9.
7
Visual attention in change blindness for objects and shadows.
Perception. 2022 Sep;51(9):605-623. doi: 10.1177/03010066221109936. Epub 2022 Aug 15.
9
Contribution of Eye-Tracking to Study Cognitive Impairments Among Clinical Populations.
Front Psychol. 2021 Jun 7;12:590986. doi: 10.3389/fpsyg.2021.590986. eCollection 2021.
10
Cognitive strategies revealed by clustering eye movement transitions.
J Eye Mov Res. 2020 Feb 26;13(1). doi: 10.16910/jemr.13.1.1.

本文引用的文献

1
Memory representations in natural tasks.
J Cogn Neurosci. 1995 Winter;7(1):66-80. doi: 10.1162/jocn.1995.7.1.66.
2
Yarbus, eye movements, and vision.
Iperception. 2010;1(1):7-27. doi: 10.1068/i0382. Epub 2010 Jul 12.
3
Visual perception in fencing: do the eye movements of fencers represent their information pickup?
Atten Percept Psychophys. 2010 Nov;72(8):2204-14. doi: 10.3758/bf03196695.
4
Task effects on eye movements during reading.
J Exp Psychol Learn Mem Cogn. 2010 Nov;36(6):1561-6. doi: 10.1037/a0020693.
5
Comparison of multivariate classifiers and response normalizations for pattern-information fMRI.
Neuroimage. 2010 Oct 15;53(1):103-18. doi: 10.1016/j.neuroimage.2010.05.051. Epub 2010 May 23.
7
Viewing task influences eye movement control during active scene perception.
J Vis. 2009 Mar 13;9(3):6.1-15. doi: 10.1167/9.3.6.
8
Objects predict fixations better than early saliency.
J Vis. 2008 Nov 20;8(14):18.1-26. doi: 10.1167/8.14.18.
9
Stable individual differences across images in human saccadic eye movements.
Can J Exp Psychol. 2008 Mar;62(1):1-14. doi: 10.1037/1196-1961.62.1.1.
10
Beyond mind-reading: multi-voxel pattern analysis of fMRI data.
Trends Cogn Sci. 2006 Sep;10(9):424-30. doi: 10.1016/j.tics.2006.07.005. Epub 2006 Aug 8.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验