Cognitive strategies revealed by clustering eye movement transitions
In cognitive tasks, solvers can adopt different strategies to process information which may lead to different response behavior. These strategies might elicit different eye movement patterns which can thus provide substantial information about the strategy a person uses. However, these strategies ar...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-02-01
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| Series: | Journal of Eye Movement Research |
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| Online Access: | https://bop.unibe.ch/JEMR/article/view/5530 |
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| _version_ | 1849472068623532032 |
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| author | Šimon Kucharský Ingmar Visser Gabriela-Olivia Truțescu Paulo Guirro Laurence Martina Zaharieva Maartje E. J. Raijmakers |
| author_facet | Šimon Kucharský Ingmar Visser Gabriela-Olivia Truțescu Paulo Guirro Laurence Martina Zaharieva Maartje E. J. Raijmakers |
| author_sort | Šimon Kucharský |
| collection | DOAJ |
| description | In cognitive tasks, solvers can adopt different strategies to process information which may lead to different response behavior. These strategies might elicit different eye movement patterns which can thus provide substantial information about the strategy a person uses. However, these strategies are usually hidden and need to be inferred from the data. After an overview of existing techniques which use eye movement data for the identification of latent cognitive strategies, we present a relatively easy to apply unsupervised method to cluster eye movement recordings to detect groups of different solution processes that are applied in solving the task. We test the method's performance using simulations and demonstrate its use on two examples of empirical data. Our analyses are in line with presence of different solving strategies in a Mastermind game, and suggest new insights to strategic patterns in solving Progressive matrices tasks. |
| format | Article |
| id | doaj-art-e9001158c2774dfd8d90bf1458f73be2 |
| institution | Kabale University |
| issn | 1995-8692 |
| language | English |
| publishDate | 2020-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Eye Movement Research |
| spelling | doaj-art-e9001158c2774dfd8d90bf1458f73be22025-08-20T03:24:38ZengMDPI AGJournal of Eye Movement Research1995-86922020-02-0113110.16910/jemr.13.1.1Cognitive strategies revealed by clustering eye movement transitionsŠimon Kucharský0Ingmar Visser1Gabriela-Olivia Truțescu2Paulo Guirro Laurence3Martina Zaharieva4Maartje E. J. Raijmakers5University of AmsterdamUniversity of AmsterdamLeiden UniversityMackenzie Presbyterian UniversityUniversity of AmsterdamUniversity of AmsterdamIn cognitive tasks, solvers can adopt different strategies to process information which may lead to different response behavior. These strategies might elicit different eye movement patterns which can thus provide substantial information about the strategy a person uses. However, these strategies are usually hidden and need to be inferred from the data. After an overview of existing techniques which use eye movement data for the identification of latent cognitive strategies, we present a relatively easy to apply unsupervised method to cluster eye movement recordings to detect groups of different solution processes that are applied in solving the task. We test the method's performance using simulations and demonstrate its use on two examples of empirical data. Our analyses are in line with presence of different solving strategies in a Mastermind game, and suggest new insights to strategic patterns in solving Progressive matrices tasks.https://bop.unibe.ch/JEMR/article/view/5530Cognitive strategieseye-trackingunsupervised clusteringlatent groupsscanpaths |
| spellingShingle | Šimon Kucharský Ingmar Visser Gabriela-Olivia Truțescu Paulo Guirro Laurence Martina Zaharieva Maartje E. J. Raijmakers Cognitive strategies revealed by clustering eye movement transitions Journal of Eye Movement Research Cognitive strategies eye-tracking unsupervised clustering latent groups scanpaths |
| title | Cognitive strategies revealed by clustering eye movement transitions |
| title_full | Cognitive strategies revealed by clustering eye movement transitions |
| title_fullStr | Cognitive strategies revealed by clustering eye movement transitions |
| title_full_unstemmed | Cognitive strategies revealed by clustering eye movement transitions |
| title_short | Cognitive strategies revealed by clustering eye movement transitions |
| title_sort | cognitive strategies revealed by clustering eye movement transitions |
| topic | Cognitive strategies eye-tracking unsupervised clustering latent groups scanpaths |
| url | https://bop.unibe.ch/JEMR/article/view/5530 |
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