Understanding Effects of Cognitive Load from Pupillary Responses Using Hilbert Analytic Phase

被引：21

作者：

Hossain, Gahangir ^{[1
]}

Yeasin, Mohammed ^{[1
]}

机构：

[1] Univ Memphis, Memphis, TN 38152 USA

来源：

2014 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS (CVPRW) | 2014年

关键词：

pupillary response; cognitive load; cognitive dissonance; cognitive overload; Hilbert Transform; SPLIT-ATTENTION; MENTAL WORKLOAD; FLUCTUATION; SIZE;

D O I：

10.1109/CVPRW.2014.62

中图分类号：

TP18 [人工智能理论];

学科分类号：

140502 [人工智能];

摘要：

Task-evoked pupillary responses reveal the relationship between working memory capacity and its effect on cognitive states. Understanding the effects of cognitive load requires robust analysis of pupillary responses. In this paper, we introduced a Hilbert transform analytic phase based method to compute temporal patterns from pupillary responses. Analysis reveals that sharp change in incorrect task response may be attributed to the cognitive overload. It was also observed that a sharp change and continuation of the ramp in Hilbert unwrapped phase relates to the cognitive dissonance.

引用

页码：381 / 386

页数：6

共 32 条

[1]

[Anonymous], 2010, DISSERTATION

[2]

[Anonymous], 1957, Selective Exposure Theory

[3]

Understanding changes in mental workload during execution of goal-directed tasks and its application for interruption management [J].