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International Conference on Applied Human Factors and Ergonomics

AHFE 2018: Advances in Affective and Pleasurable Design pp 85–93Cite as

Evaluation of the Effect of the Amount of Information on Cognitive Load by Using a Physiological Index and the Stroop Task

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 774))

Abstract

There have been several recent attempts to aid car drivers by providing information on internal and external car environments. The optimal amount of information must be determined to avoid confusion. In this study, the “Stroop task” was used for information processing, and the cognitive load was gradually increased by adding information in stages. We designed and conducted two tasks that originate in the “Stroop task”; these two tasks feature significant differences in cognitive load. We also measured brain activity using near-infrared spectroscopy (NIRS) under the assumption that such activity can be used as an index of cognitive load. Both tasks were associated with increased oxy-hemoglobin levels in the prefrontal area, and the task with a higher cognitive load was associated with a more substantial increase in oxy-hemoglobin; this indicates that oxy-hemoglobin levels may be used as an objective index for the evaluation of information-associated cognitive load.

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Author information

Authors and Affiliations

  1. Graduate School of Science and Engineering, Saitama University, 255 Shimo-okubo, Sakura-ku, Saitama-shi, Saitama, 338-8570, Japan

    Yushi Hashimoto, Keiichi Watanuki, Kazunori Kaede & Keiichi Muramatsu

Authors
  1. Yushi Hashimoto
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  2. Keiichi Watanuki
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  3. Kazunori Kaede
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  4. Keiichi Muramatsu
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Corresponding author

Correspondence to Yushi Hashimoto .

Editor information

Editors and Affiliations

  1. System Design and Management, Keio University, Tokyo, Japan

    Shuichi Fukuda

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Hashimoto, Y., Watanuki, K., Kaede, K., Muramatsu, K. (2019). Evaluation of the Effect of the Amount of Information on Cognitive Load by Using a Physiological Index and the Stroop Task. In: Fukuda, S. (eds) Advances in Affective and Pleasurable Design. AHFE 2018. Advances in Intelligent Systems and Computing, vol 774. Springer, Cham. https://doi.org/10.1007/978-3-319-94944-4_10

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