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Authors: Masaki Omata 1 and Kazuya Nakazawa 2

Affiliations: 1 Interdisciplinary Graduate School, University of Yamanashi, Kofu and Japan ; 2 Department of Computer Science and Engineering, University of Yamanashi, Kofu and Japan

Keyword(s): Level of Understanding, Physiological Index, Regression Analysis and Visual Analog Scale.

Related Ontology Subjects/Areas/Topics: Biosignal Acquisition, Analysis and Processing ; Human-Computer Interaction ; Methodologies and Methods ; Physiological Computing Systems

Abstract: This paper describes logistic regression analyses and multiple regression analyses to explain relationships between physiological signals and subjective self-reported levels of understanding of a second language listening task by using a visual analog scale (VAS) of 999 degrees. Mean contribution ratio of the logistic regression expressions was 0.72, and mean contribution ratio of the multiple regression expressions was 0.70. Power value of theta band of brain waves has a certain tendency to change according to the level of understanding. Accuracy of the regression expressions using VAS was the same or more than that of the four-level scale as our previous work.

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Paper citation in several formats:
Omata, M. and Nakazawa, K. (2018). Regression Analyses between Physiological Indexes and Level of Understanding with VAS of a Listening Task. In Proceedings of the 5th International Conference on Physiological Computing Systems - PhyCS, ISBN 978-989-758-329-2; ISSN 2184-321X, pages 21-29. DOI: 10.5220/0006892200210029

@conference{phycs18,
author={Masaki Omata. and Kazuya Nakazawa.},
title={Regression Analyses between Physiological Indexes and Level of Understanding with VAS of a Listening Task},
booktitle={Proceedings of the 5th International Conference on Physiological Computing Systems - PhyCS,},
year={2018},
pages={21-29},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006892200210029},
isbn={978-989-758-329-2},
issn={2184-321X},
}

TY - CONF

JO - Proceedings of the 5th International Conference on Physiological Computing Systems - PhyCS,
TI - Regression Analyses between Physiological Indexes and Level of Understanding with VAS of a Listening Task
SN - 978-989-758-329-2
IS - 2184-321X
AU - Omata, M.
AU - Nakazawa, K.
PY - 2018
SP - 21
EP - 29
DO - 10.5220/0006892200210029

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