Electroencenphalogram-Based Effective Features for Sustained Attention Assessment in Conversation

Sustained attention, or concentration, is the ability to focus on a task for a long time. Its evaluation includes subjective assessments using questionnaires and objective assessments such as the electroencephalogram (EEG) method. This EEG method offers promising concentration level insights, but it is a challenge to fully leverage the multi-channel nature of EEG at the same time. In this study, we conducted a button-pressing task called a go/no-go task, designed to measure concentration to simulate a conversational scene while addressing the EEG multi-channel complexity. We measured response times and simultaneously recorded EEG. The extracted features such as frequency band characteristics and information-theoretical features like entropy were used to evaluate the concentration level. We employed group Lasso and cross-correlation analysis to expose the explainable EEG feature for sustained attention relevant to the VTC. As a result, we found that EEG power ratios were strongly related to concentration. By combining several power ratios, it may be possible to quantify the concentration.

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Publication Details

Published
2024-12-03
DOI
https://doi.org/10.1109/apsipaasc63619.2025.10849138
Primary Topic
Cognitive Science and Mapping
Type
article
Field-Weighted Citation Impact
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article

Electroencenphalogram-Based Effective Features for Sustained Attention Assessment in Conversation

Ingon Chanpornpakdi, Masaya Togashi, Toshihisa Tanaka
Cognitive Science and Mapping
article

Electroencenphalogram-Based Effective Features for Sustained Attention Assessment in Conversation

Ingon Chanpornpakdi, Masaya Togashi, Toshihisa Tanaka
article en

Abstract

Sustained attention, or concentration, is the ability to focus on a task for a long time. Its evaluation includes subjective assessments using questionnaires and objective assessments such as the electroencephalogram (EEG) method. This EEG method offers promising concentration level insights, but it is a challenge to fully leverage the multi-channel nature of EEG at the same time. In this study, we conducted a button-pressing task called a go/no-go task, designed to measure concentration to simulate a conversational scene while addressing the EEG multi-channel complexity. We measured response times and simultaneously recorded EEG. The extracted features such as frequency band characteristics and information-theoretical features like entropy were used to evaluate the concentration level. We employed group Lasso and cross-correlation analysis to expose the explainable EEG feature for sustained attention relevant to the VTC. As a result, we found that EEG power ratios were strongly related to concentration. By combining several power ratios, it may be possible to quantify the concentration.

Tokyo University of Agriculture and Technology (JP)
Openalex Percentile: Top 76%
Cognitive Science and Mapping
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