Improving voluntary pupil size changes for HCI

Jan Ehlers, Juliane Georgi, A. Huckauf
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引用次数: 13

Abstract

Previous research [11] refers to pupil size as a passive information channel that provides insight into the affective state of the viewer but defies any voluntary control. However, since physiological arousal is influenced by various cognitive processes, we assume that pupil behavior can be brought under control by strategies of emotional regulation and cognitive processing. In the present paper we provide a methodological approach for examining the potentials and limits of active control of pupil dilation. Based on [3], we developed methods applying graphical feedback on systematic pupil diameter changes to utilize mechanisms of operant conditioning to gradually enable voluntary control over pupil size. Calculation models are introduced to carefully disentangle task relevant and irrelevant pupil dynamics. Based on mean values, single measuring and interpolation, we conceived computational rules to validate pupil data in real-time and determine criteria for artefact rejection. Extensive research based on the depicted methodology may shed further light on learning achievements related to emotional control and will reveal the potential of pupil-based input channels for the future development of affective Human-Computer Interfaces.
改善HCI患者自愿瞳孔大小的改变
先前的研究[11]认为瞳孔大小是一种被动的信息渠道,它提供了对观看者情感状态的洞察,但不受任何自愿控制。然而,由于生理唤醒受到各种认知过程的影响,我们认为瞳孔行为可以通过情绪调节和认知加工策略来控制。在本文中,我们提供了一种方法方法来检查瞳孔扩张的潜力和限制的主动控制。在[3]的基础上,我们开发了一种方法,利用系统瞳孔直径变化的图形反馈,利用操作性条件反射机制,逐渐实现对瞳孔大小的自主控制。引入计算模型,仔细区分任务相关和不相关的瞳孔动态。基于平均值、单次测量和插值,我们设想了计算规则来实时验证瞳孔数据,并确定排除伪影的标准。基于所描述的方法的广泛研究可能会进一步阐明与情绪控制相关的学习成就,并将揭示基于学生的输入渠道对情感人机界面未来发展的潜力。
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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