眼动轨迹匹配法：一种研究决策过程的新方法

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黄龙¹^,², 徐富明³(

), 胡笑羽¹(

)

¹江西师范大学心理学院, 南昌 330022
²皖南医学院人文与管理学院, 芜湖 341002
³南宁师范大学教育科学学院, 南宁 530299

收稿日期:2019-04-09出版日期:2020-09-15发布日期:2020-07-24
通讯作者:徐富明,胡笑羽E-mail:fumingxu@126.com;daisyxy@126.com

基金资助:* 国家自然科学基金面上项目(71971103);教育部人文社会科学研究青年基金(20YJC190006);安徽省哲学社会科学规划青年项目(AHSKQ2019D059);安徽省教育厅高校科学研究重点项目(SK2018A0192)

Scanmatch: A new method for studying decision-making process

HUANG Long¹^,², XU Fu-ming³(

), HU Xiao-yu¹(

)

¹School of Psychology, Jiangxi Normal University, Nanchang 330022, China
²School of Humanities and Management, Wannan Medical College, Wuhu 341002, China
³School of Education Science, Nanning Normal University, Nanning 530299, China

Received:2019-04-09Online:2020-09-15Published:2020-07-24
Contact:XU Fu-ming,HU Xiao-yu E-mail:fumingxu@126.com;daisyxy@126.com

摘要/Abstract

摘要： 眼动轨迹匹配法是近年来新兴的一种眼动数据分析方法, 该方法包括注视数据的预处理、兴趣区划分和编码、形成眼动轨迹字符串、计算相似性得分四个步骤。研究者采用眼动轨迹匹配法对决策过程理论及其影响因素进行的探索性研究, 证实了眼动轨迹匹配法在决策领域的可行性、精确性和高价值性。未来的研究应进一步利用眼动轨迹匹配法加强对各种决策理论及其影响因素的研究, 以揭示决策的认知过程, 构建更加完善的决策理论模型。

图/表 3

图1一项风险决策任务中的眼动轨迹、ROI和注视时间注：箭头方向代表眼动轨迹的方向, 方框代表ROI, 基础注视时间为50 ms

图2替换矩阵举例(资料来自Cristino et al., 2010)

图3间隙惩罚和相似性得分计算举例(资料改自Cristino et al., 2010)

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