Studying Eye Movements As A Basis For Measuring Cognitive Load

被引：44

作者：

Zagermann, Johannes ^{[1
]}

Pfeil, Ulrike ^{[1
]}

Reiterer, Harald ^{[1
]}

机构：

[1] Univ Konstanz, HCI Grp, Constance, Germany

来源：

CHI 2018: EXTENDED ABSTRACTS OF THE 2018 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS | 2018年

关键词：

cognitive load; eye tracking; evaluation;

D O I：

10.1145/3170427.3188628

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Users' cognitive load while interacting with a system is a valuable metric for evaluations in HCI. We encourage the analysis of eye movements as an unobtrusive and widely available way to measure cognitive load. In this paper, we report initial findings from a user study with 26 participants working on three visual search tasks that represent different levels of difficulty. Also, we linearly increased the cognitive demand while solving the tasks. This allowed us to analyze the reaction of individual eye movements to different levels of task difficulty. Our results show how pupil dilation, blink rate, and the number of fixations and saccades per second individually react to changes in cognitive activity. We discuss how these measurements could be combined in future work to allow for a comprehensive investigation of cognitive load in interactive settings.

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