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Authors: Katsuko T. Nakahira ; Munenori Harada and Muneo Kitajima

Affiliation: Nagaoka University of Technology, Nagaoka, Niigata, Japan

Keyword(s): Biometric information, Difficulty of a Task, Pupil Diameter, Learning Motivation.

Abstract: This paper proposes a novel method for analyzing the relationships between the difficulty of tasks and the effort of learners to accomplish them using biometric information. The biometric information we adopted was as follows: 1) pupil diameter variation for estimating subjective task difficulty, and 2) eye movements indicative of answer selection times for assessing subjective efforts and strategies to solve the problems. The data used in this study are eye movement data obtained in a different study for studying brain activities during arithmetic calculations in terms of electroencephalography (EEG) data (Suzuki et al., 2021). This study reanalyzed the eye movement data by introducing the following two variables: 1) the duration times in the characteristic areas for solving the tasks to understand how the participants strategically retrieved the task information, and 2) the changes in the sizes of pupil diameter to understand the levels of engagement of the participants while solvi ng the tasks. This study suggests that the relationships found in these variables should characterize the participants’ learning attitudes and could be related to confidence and satisfaction in the attention-relevance-confidence-satisfaction (ARCS) model, indicating the possibility of applying the results to educational systems. (More)

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Paper citation in several formats:
Nakahira, K.; Harada, M. and Kitajima, M. (2022). Analysis of the Relationship between Subjective Difficulty of a Task and the Efforts Put into It using Biometric Information. In Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - HUCAPP; ISBN 978-989-758-555-5; ISSN 2184-4321, SciTePress, pages 241-248. DOI: 10.5220/0010906800003124

@conference{hucapp22,
author={Katsuko T. Nakahira. and Munenori Harada. and Muneo Kitajima.},
title={Analysis of the Relationship between Subjective Difficulty of a Task and the Efforts Put into It using Biometric Information},
booktitle={Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - HUCAPP},
year={2022},
pages={241-248},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010906800003124},
isbn={978-989-758-555-5},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - HUCAPP
TI - Analysis of the Relationship between Subjective Difficulty of a Task and the Efforts Put into It using Biometric Information
SN - 978-989-758-555-5
IS - 2184-4321
AU - Nakahira, K.
AU - Harada, M.
AU - Kitajima, M.
PY - 2022
SP - 241
EP - 248
DO - 10.5220/0010906800003124
PB - SciTePress

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