Pupil Size Variations Reveal Information About Hierarchical Decision-Making Processes

IF 4.3 3区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Leyla Yahyaie, Reza Ebrahimpour, Abbas Koochari
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Abstract

Introduction: Pupil size is a well-known indicator of low-level decision-making processes. However, it is unclear whether these involuntary eye data can represent information about the interwoven processes of hierarchical decision-making. In hierarchical decisions, high-level decision-making depends on the process of making low-level decisions, and the result of these interwoven processes is determined by feedback. Therefore, the exact cause of negative feedback is unclear, as it may be the result of low-level, high-level, or both low- and high-level incorrect decisions. In this study, we investigated the characteristics of eye data (pupil diameter) in the interwoven processes of hierarchical decision-making. Methods: We designed a hierarchical psychophysical experiment in which participants were asked to report their low- and high-level decisions and their confidence simultaneously on one of the colored bars. Participants received correct feedback in a trial when reporting both decisions correctly. During the experiment, the eye data of the participants were recorded by an eye-tracking device. Results: Our findings suggest that pupil size conveys information about high-level decisions as well. Furthermore, this study shows that three parameters (introduced in previous studies), negative feedback in successive trials, stimulus strength (uniformity with confidence), and decision urgency, are all represented in pupil size. Conclusion: The findings support the idea that involuntary eye data are influenced by decision-making-related brain activity in decision-making processes and not just visual stimulus features.

Abstract Image

瞳孔大小的变化揭示了分层决策过程的信息
简介瞳孔大小是低级决策过程的一个众所周知的指标。然而,目前还不清楚这些非自主的眼球数据是否能代表分层决策的交织过程的信息。在分层决策中,高层决策依赖于低层决策过程,而这些交织过程的结果由反馈决定。因此,负反馈的确切原因并不清楚,因为它可能是低层次、高层次或低层次和高层次错误决策的结果。在本研究中,我们研究了眼球数据(瞳孔直径)在层级决策交织过程中的特征。研究方法我们设计了一个分层心理物理实验,要求参与者在其中一个彩条上同时报告他们的低层次和高层次决策及其置信度。如果参与者同时正确报告了两个决策,则会在一次试验中得到正确的反馈。在实验过程中,参与者的眼球数据被眼球追踪设备记录下来。实验结果我们的研究结果表明,瞳孔大小也能传递高层次决策的信息。此外,本研究还表明,瞳孔大小还代表了三个参数(在之前的研究中已经引入),即连续试验中的负反馈、刺激强度(与置信度的一致性)和决策紧迫性。结论研究结果支持这样一种观点,即在决策过程中,非自主眼球数据受到与决策相关的大脑活动的影响,而不仅仅是视觉刺激特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Cognitive Computation
Cognitive Computation COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-NEUROSCIENCES
CiteScore
9.30
自引率
3.70%
发文量
116
审稿时长
>12 weeks
期刊介绍: Cognitive Computation is an international, peer-reviewed, interdisciplinary journal that publishes cutting-edge articles describing original basic and applied work involving biologically-inspired computational accounts of all aspects of natural and artificial cognitive systems. It provides a new platform for the dissemination of research, current practices and future trends in the emerging discipline of cognitive computation that bridges the gap between life sciences, social sciences, engineering, physical and mathematical sciences, and humanities.
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