学生辅助目标选择(PATS):现状和未来展望

Christoph Strauch, Jan Ehlers, A. Huckauf
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引用次数: 0

摘要

情感互动被认为是促进人类和技术系统之间的互动。使用瞳孔大小作为情感信息,我们回顾了迄今为止提出的基于瞳孔的互动方法。基于不同机制的三种方法;瞳孔大小的变化是由于对一系列亮度变化的刺激的潜移默化,瞳孔直径的变化是由使用者主动产生的,而那些作为认知过程的副产品而自动发生的。虽然前两种方法可以产生有效但相对较慢的目标选择,但后者可能允许更快的选择,但必须与其他选择机制相结合。重新分析用这种最有前途的方法获得的两个数据集,使用认知过程作为基于瞳孔的目标选择的基础,结果表明,尽管在任务和亮度上存在差异,但信号动力学的特征是具有可比较的延迟和效应大小。这为进一步研究人机交互中物体选择时瞳孔直径的变化奠定了基础。最后,我们建议进一步研究这一课题,确定瞳孔直径随物体选择而变化的时间和原因。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Pupil-assisted target selection (PATS): State of the art and future prospects
Affective interaction is assumed to advance interacting among humans and technical systems. Using pupil size as affective information, we review hitherto presented approaches for pupil-based interaction. Three approaches base on different mechanisms; pupil size changes produced by covertly attending towards a set of stimuli changing in brightness, changes in pupil diameter actively produced by the user, and those occurring automatically as a by-product of cognitive processes. While the first two approaches can produce effective but relatively slow target selections, the latter might allow faster selections, but has to be combined with other selection mechanisms. Reanalyzing two data sets obtained with this most promising approach of using cognitive processes as basis for pupil-based target selection, it turns out that despite of differences in task and brightness, signal dynamics are characterized by comparable latencies and effect sizes. These may lay the foundation for future investigations into pupil diameter changes accompanying object selection in human-robot interaction. Finally, we suggest further investigations into the subject, determining when and why pupil diameter changes accompany object selections.
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