Suppr超能文献

任务表现与眼动:预测与认知负荷相关的行为

Task performance and eye activity: predicting behavior relating to cognitive workload.

作者信息

Tsai Yi-Fang, Viirre Erik, Strychacz Christopher, Chase Bradley, Jung Tzyy-Ping

机构信息

Naval Health Research Center, San Diego, CA, USA.

出版信息

Aviat Space Environ Med. 2007 May;78(5 Suppl):B176-85.

Abstract

INTRODUCTION

The focus of this study was to examine oculomotor behavioral changes while subjects performed auditory and driving tasks.

METHODS

There were 13 participants who completed 3 10-min tasks consisting of driving only, the Paced Auditory Serial Addition Task (PASAT) only, and a dual task of both driving and auditory tasks. For each participant, changes in six measures were assessed as a function of cognitive workload, specifically changes in eye activity, including blink frequency, blink duration, fixation frequency, fixation duration, pupil diameter, and horizontal vergence. In addition, deviations in lateral lane position were assessed as a measure of driving behavior.

RESULTS

Compared with the subjects' behavior in the driving-only task, results showed an increase in blink frequency during the combined driving and auditory task. Also, during the dual task the mean pupil diameter and horizontal vergence increased when subjects performed well in the auditory task in contrast to when the subjects performed poorly. Evidence of visual tunneling or reduced range of scanning and decreases in rearview mirror and odometer glances appeared when subjects performed the driving and auditory dual task. There was no significant change in fixation frequency. However, decreased fixation duration appeared to predict upcoming errors in the auditory task. Pupil diameter changes were significantly higher when performing well on the auditory task than when subjects were performing poorly.

CONCLUSION

Eye behavior trends reported in this study may provide insight to human behavior corresponding with cognitive workload, which may in turn be utilized to produce reliable workload indicators and applications that predict poor performance in real time.

摘要

引言

本研究的重点是在受试者执行听觉和驾驶任务时检查眼动行为变化。

方法

13名参与者完成了3项10分钟的任务,分别是仅驾驶任务、仅听觉连续加法任务(PASAT)以及驾驶和听觉双重任务。对于每位参与者,评估六项指标的变化作为认知工作量的函数,具体包括眼动活动的变化,如眨眼频率、眨眼持续时间、注视频率、注视持续时间、瞳孔直径和水平聚散度。此外,评估横向车道位置的偏差作为驾驶行为的一项指标。

结果

与仅驾驶任务中的受试者行为相比,结果显示在驾驶和听觉双重任务期间眨眼频率增加。而且,在双重任务中,当受试者在听觉任务中表现良好时,平均瞳孔直径和水平聚散度增加,而在表现不佳时则相反。当受试者执行驾驶和听觉双重任务时,出现了视觉隧道效应或扫描范围缩小以及后视镜和里程表扫视减少的迹象。注视频率没有显著变化。然而,注视持续时间的减少似乎预示着听觉任务中即将出现的错误。在听觉任务中表现良好时瞳孔直径的变化明显高于表现不佳时。

结论

本研究报告的眼动行为趋势可能为与认知工作量相对应的人类行为提供见解,这反过来可用于生成可靠的工作量指标以及预测实时表现不佳的应用程序。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验