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Multimodal Approach to Measuring Cognitive Load Using Sternberg Memory and Input Diagrammatic Reasoning Tests

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Intelligent Information and Database Systems (ACIIDS 2022)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 13758))

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Abstract

Results of a study of cognitive load using multimodal biometric techniques including electrocardiography, electroencephalography and galvanic skin response are presented in the paper. Thirty student volunteers took part in an experiment conducted on the iMotions integrated biometric platform in a laboratory setting. Two types of tests were employed as research stimuli, namely the Sternberg memory test and input diagrammatic reasoning test. Data were collected using participant activity measures, Single Ease Question (SEQ) and NASA Task Load Index (NASA-TLX) self-report questionnaires, and biometric measurements. In total, 21 metrics were calculated, including two performance, eight subjective, four electrocardiographic, three encephalographic, and four galvanic skin response metrics based on the collected experimental data. The nonparametric Wilcoxon tests were applied to find statistically significant differences between individual metrics for the Sternberg memory tasks and input diagrammatic reasoning tasks for easy and hard difficulty levels. The conducted research allowed to make many interesting observations and showed the usefulness of various measures in the analysis of the cognitive load associated with memory and reasoning tasks.

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Authors and Affiliations

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

    Patient Zihisire Muke, Zbigniew Telec & Bogdan Trawiński

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  1. Patient Zihisire Muke
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  2. Zbigniew Telec
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  3. Bogdan Trawiński
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Correspondence to Bogdan Trawiński .

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Editors and Affiliations

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

    Ngoc Thanh Nguyen

  2. Vietnam National University, Ho Chi Minh City, Ho Chi Minh City, Vietnam

    Tien Khoa Tran

  3. Al-Farabi Kazakh National University, Almaty, Kazakhstan

    Ualsher Tukayev

  4. National University of Kaohsiung, Kaohsiung, Taiwan

    Tzung-Pei Hong

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

    Bogdan Trawiński

  6. University of Newcastle, Newcastle, NSW, Australia

    Edward Szczerbicki

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Muke, P.Z., Telec, Z., Trawiński, B. (2022). Multimodal Approach to Measuring Cognitive Load Using Sternberg Memory and Input Diagrammatic Reasoning Tests. In: Nguyen, N.T., Tran, T.K., Tukayev, U., Hong, TP., Trawiński, B., Szczerbicki, E. (eds) Intelligent Information and Database Systems. ACIIDS 2022. Lecture Notes in Computer Science(), vol 13758. Springer, Cham. https://doi.org/10.1007/978-3-031-21967-2_56

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