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Impact of the Stroop Effect on Cognitive Load Using Subjective and Psychophysiological Measures

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Computational Collective Intelligence (ICCCI 2021)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12876))

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Abstract

The Stroop effect is a delay in human response between congruent and incongruent stimuli, in which color names interfere with the ability to determine the color of the ink used to print those names. The results of the Stroop test used in our experiment were analyzed from the point of view of human cognitive load. 62 volunteers took part in a study conducted on the iMotions biometric platform in laboratory conditions. Data were collected using observations, Single Ease Question (SEQ) and NASA Task Load Index (NASA-TLX) self-report questionnaires, and galvanic skin response (GSR) biosensor. In total, based on the collected data, 18 performance, subjective and psychophysiological metrics were calculated to measure cognitive load based on Stroop test. Non-parametric tests of statistical significance of differences between individual metrics were performed for the Stroop tasks for the easy and hard level of difficulty. The Spearman’s rank correlation between individual metrics was also analysed. The conducted research allowed to make many interesting observations and showed the usefulness of most measures in the analysis of the cognitive load associated with the Stroop effect.

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Authors and Affiliations

  1. Department of Applied Informatics, Wrocław University of Science and Technology, Wrocław, Poland

    Patient Zihisire Muke, Mateusz Piwowarczyk, Zbigniew Telec, Bogdan Trawiński, Putri Ayu Maharani & Patryk Bresso

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  1. Patient Zihisire Muke
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  2. Mateusz Piwowarczyk
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  3. Zbigniew Telec
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  4. Bogdan Trawiński
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  5. Putri Ayu Maharani
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  6. Patryk Bresso
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Corresponding author

Correspondence to Bogdan Trawiński .

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Editors and Affiliations

  1. Wrocław University of Science and Technology, Wrocław, Poland

    Ngoc Thanh Nguyen

  2. Democritus University of Thrace, Kimmeria, Xanthi, Greece

    Lazaros Iliadis

  3. University of Piraeus, Piraeus, Greece

    Ilias Maglogiannis

  4. Wrocław University of Science and Technology, Wrocław, Poland

    Bogdan Trawiński

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Zihisire Muke, P., Piwowarczyk, M., Telec, Z., Trawiński, B., Maharani, P.A., Bresso, P. (2021). Impact of the Stroop Effect on Cognitive Load Using Subjective and Psychophysiological Measures. In: Nguyen, N.T., Iliadis, L., Maglogiannis, I., Trawiński, B. (eds) Computational Collective Intelligence. ICCCI 2021. Lecture Notes in Computer Science(), vol 12876. Springer, Cham. https://doi.org/10.1007/978-3-030-88081-1_14

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  • DOI: https://doi.org/10.1007/978-3-030-88081-1_14

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