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交互式三维地理可视化的眼动追踪分析

Eye-tracking Analysis of Interactive 3D Geovisualization.

作者信息

Herman Lukas, Popelka Stanislav, Hejlova Vendula

机构信息

Masaryk University, Czech Republic.

PalackÝ University, Czech Republic.

出版信息

J Eye Mov Res. 2017 May 31;10(3). doi: 10.16910/jemr.10.3.2.

DOI:10.16910/jemr.10.3.2
PMID:33828655
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7141050/
Abstract

This paper describes a new tool for eye-tracking data and their analysis with the use of interactive 3D models. This tool helps to analyse interactive 3D models easier than by time-consuming, frame-by-frame investigation of captured screen recordings with superimposed scanpaths. The main function of this tool, called 3DgazeR, is to calculate 3D coordinates (X, Y, Z coordinates of the 3D scene) for individual points of view. These 3D coordinates can be calculated from the values of the position and orientation of a virtual camera and the 2D coordinates of the gaze upon the screen. The functionality of 3DgazeR is introduced in a case study example using Digital Elevation Models as stimuli. The purpose of the case study was to verify the functionality of the tool and discover the most suitable visualization methods for geographic 3D models. Five selected methods are presented in the results section of the paper. Most of the output was created in a Geographic Information System. 3DgazeR works with the SMI eye-tracker and the low-cost EyeTribe tracker connected with open source application OGAMA, and can compute 3D coordinates from raw data and fixations.

摘要

本文介绍了一种用于眼动追踪数据及其使用交互式3D模型进行分析的新工具。与通过对叠加扫描路径的捕获屏幕录像进行耗时的逐帧调查相比，该工具有助于更轻松地分析交互式3D模型。这个名为3DgazeR的工具的主要功能是为各个视角计算3D坐标（3D场景的X、Y、Z坐标）。这些3D坐标可以根据虚拟相机的位置和方向值以及屏幕上注视点的2D坐标来计算。在一个使用数字高程模型作为刺激物的案例研究示例中介绍了3DgazeR的功能。该案例研究的目的是验证该工具的功能，并发现最适合地理3D模型的可视化方法。论文的结果部分展示了五种选定的方法。大部分输出是在地理信息系统中创建的。3DgazeR可与SMI眼动仪以及与开源应用程序OGAMA相连的低成本EyeTribe眼动仪配合使用，并且可以从原始数据和注视点计算3D坐标。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/394a/7141050/b3503f708387/jemr-10-03-b-figure-10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/394a/7141050/86815a6d9aa4/jemr-10-03-b-figure-01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/394a/7141050/12d0f03c4a00/jemr-10-03-b-figure-02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/394a/7141050/4945eb66a502/jemr-10-03-b-figure-03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/394a/7141050/deb6e8ce48e9/jemr-10-03-b-figure-04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/394a/7141050/a28db9a088b1/jemr-10-03-b-figure-05.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/394a/7141050/5183931e98c5/jemr-10-03-b-figure-06.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/394a/7141050/8e3ec832477e/jemr-10-03-b-figure-07.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/394a/7141050/13b7f405608b/jemr-10-03-b-figure-08.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/394a/7141050/0285159934d0/jemr-10-03-b-figure-09.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/394a/7141050/b3503f708387/jemr-10-03-b-figure-10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/394a/7141050/86815a6d9aa4/jemr-10-03-b-figure-01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/394a/7141050/12d0f03c4a00/jemr-10-03-b-figure-02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/394a/7141050/4945eb66a502/jemr-10-03-b-figure-03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/394a/7141050/deb6e8ce48e9/jemr-10-03-b-figure-04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/394a/7141050/a28db9a088b1/jemr-10-03-b-figure-05.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/394a/7141050/5183931e98c5/jemr-10-03-b-figure-06.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/394a/7141050/8e3ec832477e/jemr-10-03-b-figure-07.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/394a/7141050/13b7f405608b/jemr-10-03-b-figure-08.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/394a/7141050/0285159934d0/jemr-10-03-b-figure-09.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/394a/7141050/b3503f708387/jemr-10-03-b-figure-10.jpg

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Investigating visual expertise in sculpture: A methodological approach using eye tracking.探究雕塑领域的视觉专业技能：一种使用眼动追踪的方法。
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Eye Movement Parameters for Performance Evaluation in Projection-based Stereoscopic Display.

本文引用的文献

1
EyeTribe Tracker Data Accuracy Evaluation and Its Interconnection with Hypothesis Software for Cartographic Purposes.EyeTribe跟踪器数据准确性评估及其与用于制图目的的假设软件的互连。
Comput Intell Neurosci. 2016;2016:9172506. doi: 10.1155/2016/9172506. Epub 2016 Mar 21.
2
Combining user logging with eye tracking for interactive and dynamic applications.将用户日志与眼动追踪相结合，用于交互式和动态应用。
Behav Res Methods. 2015 Dec;47(4):977-993. doi: 10.3758/s13428-014-0542-3.
3
OGAMA (Open Gaze and Mouse Analyzer): open-source software designed to analyze eye and mouse movements in slideshow study designs.
基于投影的立体显示中用于性能评估的眼动参数
J Eye Mov Res. 2018 Nov 20;11(6). doi: 10.16910/jemr.11.6.3.
OGAMA（开放式注视与鼠标分析器）：一款开源软件，旨在分析幻灯片研究设计中的眼睛和鼠标动作。
Behav Res Methods. 2008 Nov;40(4):1150-62. doi: 10.3758/BRM.40.4.1150.
4
Effect of the size of a complex display upon visual search.复杂显示器尺寸对视觉搜索的影响。
J Opt Soc Am. 1959 Mar;49(3):280-6. doi: 10.1364/josa.49.000280.
5
3-D eye movement analysis.三维眼动分析
Behav Res Methods Instrum Comput. 2002 Nov;34(4):573-91. doi: 10.3758/bf03195486.