Jingwen Zhu, Ali Ak, Charles Dormeval, P. Le Callet, K. Rahul, S. Sethuraman
{"title":"主观测试环境:对测试结果影响的多方面考察","authors":"Jingwen Zhu, Ali Ak, Charles Dormeval, P. Le Callet, K. Rahul, S. Sethuraman","doi":"10.1145/3573381.3596470","DOIUrl":null,"url":null,"abstract":"Quality of Experience (QoE) in video streaming scenarios is significantly affected by the viewing environment and display device. Understanding and measuring the impact of these settings on QoE can help develop viewing environment-aware metrics and improve the efficiency of video streaming services. In this ongoing work, we conducted a subjective study in both laboratory and home settings using the same content and design to measure QoE in Degradation Category Rating (DCR). We first analyzed subject inconsistency and confidence intervals of the Mean Opinion Scores (MOS) between the two settings. We then used statistical models such as ANOVA and t-test to analyze the differences in subjective tests on video quality between the two viewing environments. Additionally, we employed the Eliminated-By-Aspects (EBA) model to quantify the influence of different settings on the measured QoE. We conclude with several research questions that could be further explored to better understand the impact of the viewing environment on QoE.","PeriodicalId":120872,"journal":{"name":"Proceedings of the 2023 ACM International Conference on Interactive Media Experiences","volume":"75 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Subjective Test Environments: A Multifaceted Examination of Their Impact on Test Results\",\"authors\":\"Jingwen Zhu, Ali Ak, Charles Dormeval, P. Le Callet, K. Rahul, S. Sethuraman\",\"doi\":\"10.1145/3573381.3596470\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Quality of Experience (QoE) in video streaming scenarios is significantly affected by the viewing environment and display device. Understanding and measuring the impact of these settings on QoE can help develop viewing environment-aware metrics and improve the efficiency of video streaming services. In this ongoing work, we conducted a subjective study in both laboratory and home settings using the same content and design to measure QoE in Degradation Category Rating (DCR). We first analyzed subject inconsistency and confidence intervals of the Mean Opinion Scores (MOS) between the two settings. We then used statistical models such as ANOVA and t-test to analyze the differences in subjective tests on video quality between the two viewing environments. Additionally, we employed the Eliminated-By-Aspects (EBA) model to quantify the influence of different settings on the measured QoE. We conclude with several research questions that could be further explored to better understand the impact of the viewing environment on QoE.\",\"PeriodicalId\":120872,\"journal\":{\"name\":\"Proceedings of the 2023 ACM International Conference on Interactive Media Experiences\",\"volume\":\"75 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-06-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2023 ACM International Conference on Interactive Media Experiences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3573381.3596470\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2023 ACM International Conference on Interactive Media Experiences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3573381.3596470","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Subjective Test Environments: A Multifaceted Examination of Their Impact on Test Results
Quality of Experience (QoE) in video streaming scenarios is significantly affected by the viewing environment and display device. Understanding and measuring the impact of these settings on QoE can help develop viewing environment-aware metrics and improve the efficiency of video streaming services. In this ongoing work, we conducted a subjective study in both laboratory and home settings using the same content and design to measure QoE in Degradation Category Rating (DCR). We first analyzed subject inconsistency and confidence intervals of the Mean Opinion Scores (MOS) between the two settings. We then used statistical models such as ANOVA and t-test to analyze the differences in subjective tests on video quality between the two viewing environments. Additionally, we employed the Eliminated-By-Aspects (EBA) model to quantify the influence of different settings on the measured QoE. We conclude with several research questions that could be further explored to better understand the impact of the viewing environment on QoE.