An Electrophysiological Model for Assessing Cognitive Load in Tacit Coordination Games
Previously, it was shown that some people are better coordinators than others; however, the relative weight of intuitive (system 1) versus deliberate (system 2) modes of thinking in tacit coordination tasks is still not resolved. To address this question, we have extracted an electrophysiological in...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-01-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/22/2/477 |
| _version_ | 1797490537496838144 |
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| author | Ilan Laufer Dor Mizrahi Inon Zuckerman |
| author_facet | Ilan Laufer Dor Mizrahi Inon Zuckerman |
| author_sort | Ilan Laufer |
| collection | DOAJ |
| description | Previously, it was shown that some people are better coordinators than others; however, the relative weight of intuitive (system 1) versus deliberate (system 2) modes of thinking in tacit coordination tasks is still not resolved. To address this question, we have extracted an electrophysiological index, the theta-beta ratio (TBR), from the Electroencephalography (EEG) recorded from participants while they were engaged in a semantic coordination task. Results have shown that individual coordination ability, game difficulty and response time are each positively correlated with cognitive load. These results suggest that better coordinators rely more on complex thought process and on more deliberate thinking while coordinating. The model we have presented may be used for the assessment of the depth of reasoning individuals engage in when facing different tasks requiring different degrees of allocation of resources. The findings as well as future research directions are discussed. |
| first_indexed | 2024-03-10T00:34:24Z |
| format | Article |
| id | doaj.art-58e117f6174b4ebe853d366f120c97c5 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T00:34:24Z |
| publishDate | 2022-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-58e117f6174b4ebe853d366f120c97c52023-11-23T15:19:18ZengMDPI AGSensors1424-82202022-01-0122247710.3390/s22020477An Electrophysiological Model for Assessing Cognitive Load in Tacit Coordination GamesIlan Laufer0Dor Mizrahi1Inon Zuckerman2Department of Industrial Engineering and Management, Ariel University, Ariel 40700, IsraelDepartment of Industrial Engineering and Management, Ariel University, Ariel 40700, IsraelDepartment of Industrial Engineering and Management, Ariel University, Ariel 40700, IsraelPreviously, it was shown that some people are better coordinators than others; however, the relative weight of intuitive (system 1) versus deliberate (system 2) modes of thinking in tacit coordination tasks is still not resolved. To address this question, we have extracted an electrophysiological index, the theta-beta ratio (TBR), from the Electroencephalography (EEG) recorded from participants while they were engaged in a semantic coordination task. Results have shown that individual coordination ability, game difficulty and response time are each positively correlated with cognitive load. These results suggest that better coordinators rely more on complex thought process and on more deliberate thinking while coordinating. The model we have presented may be used for the assessment of the depth of reasoning individuals engage in when facing different tasks requiring different degrees of allocation of resources. The findings as well as future research directions are discussed.https://www.mdpi.com/1424-8220/22/2/477tacit coordination gamesEEGtheta/beta ratiomathematical modelling |
| spellingShingle | Ilan Laufer Dor Mizrahi Inon Zuckerman An Electrophysiological Model for Assessing Cognitive Load in Tacit Coordination Games Sensors tacit coordination games EEG theta/beta ratio mathematical modelling |
| title | An Electrophysiological Model for Assessing Cognitive Load in Tacit Coordination Games |
| title_full | An Electrophysiological Model for Assessing Cognitive Load in Tacit Coordination Games |
| title_fullStr | An Electrophysiological Model for Assessing Cognitive Load in Tacit Coordination Games |
| title_full_unstemmed | An Electrophysiological Model for Assessing Cognitive Load in Tacit Coordination Games |
| title_short | An Electrophysiological Model for Assessing Cognitive Load in Tacit Coordination Games |
| title_sort | electrophysiological model for assessing cognitive load in tacit coordination games |
| topic | tacit coordination games EEG theta/beta ratio mathematical modelling |
| url | https://www.mdpi.com/1424-8220/22/2/477 |
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