{"title":"概率密度分布不确定性可视化的认知模型","authors":"Hu Ruoyu, Wang Xinyue, Wang Haiyan, Xue Chengqi","doi":"10.54941/ahfe100933","DOIUrl":null,"url":null,"abstract":"Many scholars have conducted research on how to visually express the uncertainty contained in data, so how users recognize and understand these visualizations has become a problem that needs to be explored. This paper studies the user's perception of probability under the triangular distribution and verifies the effectiveness of visualization using lightness gradient. We found that the participant’s perception probability of a test point has a strong correlation with the true value of the probability density of that point.","PeriodicalId":292077,"journal":{"name":"Intelligent Human Systems Integration (IHSI 2022) Integrating People and Intelligent Systems","volume":"111 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Cognitive Model for Probability Density Distribution Uncertainty Visualization\",\"authors\":\"Hu Ruoyu, Wang Xinyue, Wang Haiyan, Xue Chengqi\",\"doi\":\"10.54941/ahfe100933\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Many scholars have conducted research on how to visually express the uncertainty contained in data, so how users recognize and understand these visualizations has become a problem that needs to be explored. This paper studies the user's perception of probability under the triangular distribution and verifies the effectiveness of visualization using lightness gradient. We found that the participant’s perception probability of a test point has a strong correlation with the true value of the probability density of that point.\",\"PeriodicalId\":292077,\"journal\":{\"name\":\"Intelligent Human Systems Integration (IHSI 2022) Integrating People and Intelligent Systems\",\"volume\":\"111 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Intelligent Human Systems Integration (IHSI 2022) Integrating People and Intelligent Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.54941/ahfe100933\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Intelligent Human Systems Integration (IHSI 2022) Integrating People and Intelligent Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.54941/ahfe100933","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Cognitive Model for Probability Density Distribution Uncertainty Visualization
Many scholars have conducted research on how to visually express the uncertainty contained in data, so how users recognize and understand these visualizations has become a problem that needs to be explored. This paper studies the user's perception of probability under the triangular distribution and verifies the effectiveness of visualization using lightness gradient. We found that the participant’s perception probability of a test point has a strong correlation with the true value of the probability density of that point.