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MouseView.js:使用光标指向的光圈在基于网络的实验中进行可靠和有效的注意力跟踪。

MouseView.js: Reliable and valid attention tracking in web-based experiments using a cursor-directed aperture.

机构信息

MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK.

Department of Psychology, Whitman College, Walla Walla, WA, USA.

出版信息

Behav Res Methods. 2022 Aug;54(4):1663-1687. doi: 10.3758/s13428-021-01703-5. Epub 2021 Sep 29.

Abstract

Psychological research is increasingly moving online, where web-based studies allow for data collection at scale. Behavioural researchers are well supported by existing tools for participant recruitment, and for building and running experiments with decent timing. However, not all techniques are portable to the Internet: While eye tracking works in tightly controlled lab conditions, webcam-based eye tracking suffers from high attrition and poorer quality due to basic limitations like webcam availability, poor image quality, and reflections on glasses and the cornea. Here we present MouseView.js, an alternative to eye tracking that can be employed in web-based research. Inspired by the visual system, MouseView.js blurs the display to mimic peripheral vision, but allows participants to move a sharp aperture that is roughly the size of the fovea. Like eye gaze, the aperture can be directed to fixate on stimuli of interest. We validated MouseView.js in an online replication (N = 165) of an established free viewing task (N = 83 existing eye-tracking datasets), and in an in-lab direct comparison with eye tracking in the same participants (N = 50). Mouseview.js proved as reliable as gaze, and produced the same pattern of dwell time results. In addition, dwell time differences from MouseView.js and from eye tracking correlated highly, and related to self-report measures in similar ways. The tool is open-source, implemented in JavaScript, and usable as a standalone library, or within Gorilla, jsPsych, and PsychoJS. In sum, MouseView.js is a freely available instrument for attention-tracking that is both reliable and valid, and that can replace eye tracking in certain web-based psychological experiments.

摘要

心理学研究越来越多地转移到线上,基于网络的研究可以大规模地收集数据。行为研究人员有现成的工具来支持参与者招募,以及构建和运行具有合理时间安排的实验。然而,并非所有技术都可以移植到互联网上:虽然眼动追踪在严格控制的实验室条件下有效,但基于网络摄像头的眼动追踪由于基本限制(如网络摄像头可用性、图像质量差以及眼镜和角膜反射)而遭受高流失率和较差的质量。在这里,我们提出了 MouseView.js,这是一种可用于网络研究的眼动追踪替代方法。受视觉系统的启发,MouseView.js 模糊显示以模拟周边视觉,但允许参与者移动一个大致与中央凹大小相当的尖锐光圈。与眼动一样,光圈可以指向感兴趣的刺激物进行注视。我们在一个在线复制(N = 165)中验证了 MouseView.js,该复制是对一个已建立的自由观看任务(N = 83 个现有眼动追踪数据集)的复制,并且在与同一参与者的眼动追踪的实验室直接比较中(N = 50)。Mouseview.js 被证明与注视一样可靠,并产生了相同的注视时间结果模式。此外,MouseView.js 和眼动追踪的注视时间差异高度相关,并且以相似的方式与自我报告测量相关。该工具是开源的,用 JavaScript 实现,可以作为独立的库使用,也可以在 Gorilla、jsPsych 和 PsychoJS 中使用。总之,MouseView.js 是一种免费的注意力追踪工具,既可靠又有效,可以替代某些基于网络的心理学实验中的眼动追踪。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51d0/9374792/e7c000eed20a/13428_2021_1703_Fig1_HTML.jpg

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