{"title":"Tracking dynamic flow: Decoding flow fluctuations through performance in a fine motor control task","authors":"Bohao Tian, Shijun Zhang, Sirui Chen, Yuru Zhang, Kaiping Peng, Hongxing Zhang, Dangxiao Wang","doi":"10.1109/taffc.2024.3480309","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":13131,"journal":{"name":"IEEE Transactions on Affective Computing","volume":"23 1","pages":""},"PeriodicalIF":9.6000,"publicationDate":"2024-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Affective Computing","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1109/taffc.2024.3480309","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
期刊介绍：
The IEEE Transactions on Affective Computing is an international and interdisciplinary journal. Its primary goal is to share research findings on the development of systems capable of recognizing, interpreting, and simulating human emotions and related affective phenomena. The journal publishes original research on the underlying principles and theories that explain how and why affective factors shape human-technology interactions. It also focuses on how techniques for sensing and simulating affect can enhance our understanding of human emotions and processes. Additionally, the journal explores the design, implementation, and evaluation of systems that prioritize the consideration of affect in their usability. We also welcome surveys of existing work that provide new perspectives on the historical and future directions of this field.
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