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.
Authors
- Ingon Chanpornpakdi (ORCID: https://orcid.org/0000-0001-9274-3079)
- Masaya Togashi
- Toshihisa Tanaka (ORCID: https://orcid.org/0000-0002-5056-9508)
Institutions
- Tokyo University of Agriculture and Technology (JP)
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
- 0.00