{"title":"冷热执行职能的相互作用:对统一执行框架的启示","authors":"Stjepan Sambol, Emra Suleyman, Michelle Ball","doi":"10.1016/j.cogsys.2025.101360","DOIUrl":null,"url":null,"abstract":"<div><div>Executive functions (EFs) are integral to emotion regulation, yet current models often overlook the interactions between hot and cool EFs. This study aimed to develop a new framework by incorporating both hot and cool EF constructs. A sample of 150 participants (18–58 years, <em>M</em> = 25.87; <em>SD</em> = 7.48) completed assessments of hot EF (Iowa Gambling Task, Columbia Card Task, and the Understanding Emotions branch of the MSCEIT) and cool EF (Digit Span, N-Back, Keep Track, Modified Card Sorting Task, Colour-Shape Task, and Stop-Signal Task). A confirmatory factor analysis (CFA) tested a three-factor model: hot EF, working memory, and cognitive flexibility. Results partially supported this structure: while a robust working memory factor emerged and the hot EF construct was upheld, albeit with weaker loadings, item loadings for the cognitive flexibility factor were non-significant, indicating inadequate measurement. The hot EF and working memory latent factors were shown to be significantly related, supporting notions that hot and cool EFs interact. Subsequent regression analyses revealed that only the cognitive flexibility factor significantly predicted planning performance on later, more difficult Tower of Hanoi trials. This pattern suggests that demanding planning tasks appear to rely particularly on the cognitive flexibility aspect of avoiding perseverative errors—a relationship largely driven by the MCST. However, because the cognitive flexibility factor was generally weakly measured, these findings should be interpreted with caution. Ultimately, integrating hot EF into EF assessments remains essential, yet existing hot EF tasks must be further refined to more accurately reflect real-world executive demands.</div></div>","PeriodicalId":55242,"journal":{"name":"Cognitive Systems Research","volume":"91 ","pages":"Article 101360"},"PeriodicalIF":2.1000,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The interplay of hot and cool executive functions: Implications for a unified executive framework\",\"authors\":\"Stjepan Sambol, Emra Suleyman, Michelle Ball\",\"doi\":\"10.1016/j.cogsys.2025.101360\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Executive functions (EFs) are integral to emotion regulation, yet current models often overlook the interactions between hot and cool EFs. This study aimed to develop a new framework by incorporating both hot and cool EF constructs. A sample of 150 participants (18–58 years, <em>M</em> = 25.87; <em>SD</em> = 7.48) completed assessments of hot EF (Iowa Gambling Task, Columbia Card Task, and the Understanding Emotions branch of the MSCEIT) and cool EF (Digit Span, N-Back, Keep Track, Modified Card Sorting Task, Colour-Shape Task, and Stop-Signal Task). A confirmatory factor analysis (CFA) tested a three-factor model: hot EF, working memory, and cognitive flexibility. Results partially supported this structure: while a robust working memory factor emerged and the hot EF construct was upheld, albeit with weaker loadings, item loadings for the cognitive flexibility factor were non-significant, indicating inadequate measurement. The hot EF and working memory latent factors were shown to be significantly related, supporting notions that hot and cool EFs interact. Subsequent regression analyses revealed that only the cognitive flexibility factor significantly predicted planning performance on later, more difficult Tower of Hanoi trials. This pattern suggests that demanding planning tasks appear to rely particularly on the cognitive flexibility aspect of avoiding perseverative errors—a relationship largely driven by the MCST. However, because the cognitive flexibility factor was generally weakly measured, these findings should be interpreted with caution. Ultimately, integrating hot EF into EF assessments remains essential, yet existing hot EF tasks must be further refined to more accurately reflect real-world executive demands.</div></div>\",\"PeriodicalId\":55242,\"journal\":{\"name\":\"Cognitive Systems Research\",\"volume\":\"91 \",\"pages\":\"Article 101360\"},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2025-04-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cognitive Systems Research\",\"FirstCategoryId\":\"102\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1389041725000403\",\"RegionNum\":3,\"RegionCategory\":\"心理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cognitive Systems Research","FirstCategoryId":"102","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1389041725000403","RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
The interplay of hot and cool executive functions: Implications for a unified executive framework
Executive functions (EFs) are integral to emotion regulation, yet current models often overlook the interactions between hot and cool EFs. This study aimed to develop a new framework by incorporating both hot and cool EF constructs. A sample of 150 participants (18–58 years, M = 25.87; SD = 7.48) completed assessments of hot EF (Iowa Gambling Task, Columbia Card Task, and the Understanding Emotions branch of the MSCEIT) and cool EF (Digit Span, N-Back, Keep Track, Modified Card Sorting Task, Colour-Shape Task, and Stop-Signal Task). A confirmatory factor analysis (CFA) tested a three-factor model: hot EF, working memory, and cognitive flexibility. Results partially supported this structure: while a robust working memory factor emerged and the hot EF construct was upheld, albeit with weaker loadings, item loadings for the cognitive flexibility factor were non-significant, indicating inadequate measurement. The hot EF and working memory latent factors were shown to be significantly related, supporting notions that hot and cool EFs interact. Subsequent regression analyses revealed that only the cognitive flexibility factor significantly predicted planning performance on later, more difficult Tower of Hanoi trials. This pattern suggests that demanding planning tasks appear to rely particularly on the cognitive flexibility aspect of avoiding perseverative errors—a relationship largely driven by the MCST. However, because the cognitive flexibility factor was generally weakly measured, these findings should be interpreted with caution. Ultimately, integrating hot EF into EF assessments remains essential, yet existing hot EF tasks must be further refined to more accurately reflect real-world executive demands.
期刊介绍:
Cognitive Systems Research is dedicated to the study of human-level cognition. As such, it welcomes papers which advance the understanding, design and applications of cognitive and intelligent systems, both natural and artificial.
The journal brings together a broad community studying cognition in its many facets in vivo and in silico, across the developmental spectrum, focusing on individual capacities or on entire architectures. It aims to foster debate and integrate ideas, concepts, constructs, theories, models and techniques from across different disciplines and different perspectives on human-level cognition. The scope of interest includes the study of cognitive capacities and architectures - both brain-inspired and non-brain-inspired - and the application of cognitive systems to real-world problems as far as it offers insights relevant for the understanding of cognition.
Cognitive Systems Research therefore welcomes mature and cutting-edge research approaching cognition from a systems-oriented perspective, both theoretical and empirically-informed, in the form of original manuscripts, short communications, opinion articles, systematic reviews, and topical survey articles from the fields of Cognitive Science (including Philosophy of Cognitive Science), Artificial Intelligence/Computer Science, Cognitive Robotics, Developmental Science, Psychology, and Neuroscience and Neuromorphic Engineering. Empirical studies will be considered if they are supplemented by theoretical analyses and contributions to theory development and/or computational modelling studies.