A review of visual sustained attention: neural mechanisms and computational models
Sustained attention is one of the basic abilities of humans to maintain concentration on relevant information while ignoring irrelevant information over extended periods. The purpose of the review is to provide insight into how to integrate neural mechanisms of sustained attention with computational...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
PeerJ Inc.
2023-06-01
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| Series: | PeerJ |
| Subjects: | |
| Online Access: | https://peerj.com/articles/15351.pdf |
| _version_ | 1827607445359296512 |
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| author | Huimin Huang Rui Li Junsong Zhang |
| author_facet | Huimin Huang Rui Li Junsong Zhang |
| author_sort | Huimin Huang |
| collection | DOAJ |
| description | Sustained attention is one of the basic abilities of humans to maintain concentration on relevant information while ignoring irrelevant information over extended periods. The purpose of the review is to provide insight into how to integrate neural mechanisms of sustained attention with computational models to facilitate research and application. Although many studies have assessed attention, the evaluation of humans’ sustained attention is not sufficiently comprehensive. Hence, this study provides a current review on both neural mechanisms and computational models of visual sustained attention. We first review models, measurements, and neural mechanisms of sustained attention and propose plausible neural pathways for visual sustained attention. Next, we analyze and compare the different computational models of sustained attention that the previous reviews have not systematically summarized. We then provide computational models for automatically detecting vigilance states and evaluation of sustained attention. Finally, we outline possible future trends in the research field of sustained attention. |
| first_indexed | 2024-03-09T06:54:08Z |
| format | Article |
| id | doaj.art-6387befac2144adc9160bb65faa952c6 |
| institution | Directory Open Access Journal |
| issn | 2167-8359 |
| language | English |
| last_indexed | 2024-03-09T06:54:08Z |
| publishDate | 2023-06-01 |
| publisher | PeerJ Inc. |
| record_format | Article |
| series | PeerJ |
| spelling | doaj.art-6387befac2144adc9160bb65faa952c62023-12-03T10:09:06ZengPeerJ Inc.PeerJ2167-83592023-06-0111e1535110.7717/peerj.15351A review of visual sustained attention: neural mechanisms and computational modelsHuimin Huang0Rui Li1Junsong Zhang2National Engineering Research Center for E-learning, Central China Normal University, Wuhan, Hubei, ChinaNational Engineering Research Center for E-learning, Central China Normal University, Wuhan, Hubei, ChinaBrain Cognition and Intelligent Computing Lab, Department of Artificial Intelligence, School of Informatics, Xiamen University, Xiamen, Fujian, ChinaSustained attention is one of the basic abilities of humans to maintain concentration on relevant information while ignoring irrelevant information over extended periods. The purpose of the review is to provide insight into how to integrate neural mechanisms of sustained attention with computational models to facilitate research and application. Although many studies have assessed attention, the evaluation of humans’ sustained attention is not sufficiently comprehensive. Hence, this study provides a current review on both neural mechanisms and computational models of visual sustained attention. We first review models, measurements, and neural mechanisms of sustained attention and propose plausible neural pathways for visual sustained attention. Next, we analyze and compare the different computational models of sustained attention that the previous reviews have not systematically summarized. We then provide computational models for automatically detecting vigilance states and evaluation of sustained attention. Finally, we outline possible future trends in the research field of sustained attention.https://peerj.com/articles/15351.pdfSustained attentionComputational modelsNeural mechanismsEvaluationNeural pathways |
| spellingShingle | Huimin Huang Rui Li Junsong Zhang A review of visual sustained attention: neural mechanisms and computational models PeerJ Sustained attention Computational models Neural mechanisms Evaluation Neural pathways |
| title | A review of visual sustained attention: neural mechanisms and computational models |
| title_full | A review of visual sustained attention: neural mechanisms and computational models |
| title_fullStr | A review of visual sustained attention: neural mechanisms and computational models |
| title_full_unstemmed | A review of visual sustained attention: neural mechanisms and computational models |
| title_short | A review of visual sustained attention: neural mechanisms and computational models |
| title_sort | review of visual sustained attention neural mechanisms and computational models |
| topic | Sustained attention Computational models Neural mechanisms Evaluation Neural pathways |
| url | https://peerj.com/articles/15351.pdf |
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