Xiangyi Lyu, Jun Wu, Shinan Zhao, Tao Liu, Helen Hong Yang, Zhigang Ma, Jialu Qin
{"title":"High-definition Transcranial Direct Current Stimulation over Right Dorsolateral Prefrontal Cortex to Enhance Metacognitive Sensitivity.","authors":"Xiangyi Lyu, Jun Wu, Shinan Zhao, Tao Liu, Helen Hong Yang, Zhigang Ma, Jialu Qin","doi":"10.3791/68824","DOIUrl":null,"url":null,"abstract":"<p><p>In human-AI collaboration, task delegation is a critical component. Ideally, if a person believes they are capable of completing a task, they should do so themselves; otherwise, the task should be delegated to the other party. Such delegation decisions are influenced by individuals' assessments of their own abilities, which are shaped by metacognition-the capacity to evaluate one's own capacities. High-Definition Transcranial Direct Current Stimulation (HD-tDCS) is a non-invasive brain stimulation technology that can regulate the excitability of the cerebral cortex to improve human performance. This protocol presents a method that employs HD-tDCS to investigate its effects on human metacognition during human-AI delegation tasks, detailing the procedure for applying anodal, cathodal, or sham stimulation to the dorsolateral prefrontal cortex (DLPFC). Stimulation was performed using a portable HD-tDCS device, using a circumferential arrangement of five electrodes, including one target electrode and four return electrodes. The stimulation lasted for a total of 21 min, and the current intensity was 2 mA. This method is expected to provide a new research path for further in-depth exploration of the neural mechanisms and behavioral regulation of humans in the process of human-AI collaborative task delegation and provide a solid theoretical basis for further optimizing human-AI collaborative tasks.</p>","PeriodicalId":48787,"journal":{"name":"Jove-Journal of Visualized Experiments","volume":" 223","pages":""},"PeriodicalIF":1.2000,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Jove-Journal of Visualized Experiments","FirstCategoryId":"103","ListUrlMain":"https://doi.org/10.3791/68824","RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
In human-AI collaboration, task delegation is a critical component. Ideally, if a person believes they are capable of completing a task, they should do so themselves; otherwise, the task should be delegated to the other party. Such delegation decisions are influenced by individuals' assessments of their own abilities, which are shaped by metacognition-the capacity to evaluate one's own capacities. High-Definition Transcranial Direct Current Stimulation (HD-tDCS) is a non-invasive brain stimulation technology that can regulate the excitability of the cerebral cortex to improve human performance. This protocol presents a method that employs HD-tDCS to investigate its effects on human metacognition during human-AI delegation tasks, detailing the procedure for applying anodal, cathodal, or sham stimulation to the dorsolateral prefrontal cortex (DLPFC). Stimulation was performed using a portable HD-tDCS device, using a circumferential arrangement of five electrodes, including one target electrode and four return electrodes. The stimulation lasted for a total of 21 min, and the current intensity was 2 mA. This method is expected to provide a new research path for further in-depth exploration of the neural mechanisms and behavioral regulation of humans in the process of human-AI collaborative task delegation and provide a solid theoretical basis for further optimizing human-AI collaborative tasks.
期刊介绍:
JoVE, the Journal of Visualized Experiments, is the world''s first peer reviewed scientific video journal. Established in 2006, JoVE is devoted to publishing scientific research in a visual format to help researchers overcome two of the biggest challenges facing the scientific research community today; poor reproducibility and the time and labor intensive nature of learning new experimental techniques.