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abstract

Studying Eye Movements as a Basis for Measuring Cognitive Load

Published:20 April 2018Publication History

ABSTRACT

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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    • Published in

      cover image ACM Conferences
      CHI EA '18: Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems
      April 2018
      3155 pages
      ISBN:9781450356213
      DOI:10.1145/3170427

      Copyright © 2018 Owner/Author

      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 20 April 2018

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      Acceptance Rates

      CHI EA '18 Paper Acceptance Rate1,208of3,955submissions,31%Overall Acceptance Rate6,164of23,696submissions,26%

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