A. Szarkowska, Breno B. Silva, David Orrego-Carmona
{"title":"字幕速度对比例阅读时间的影响","authors":"A. Szarkowska, Breno B. Silva, David Orrego-Carmona","doi":"10.1075/tcb.00057.sza","DOIUrl":null,"url":null,"abstract":"\n How much time do viewers spend reading subtitles and does it depend on the subtitle speed? By posing these\n questions, in this paper we re-analyse previous data to address this issue while promoting two methodological advancements in\n eye-tracking audiovisual research: (1) the use of proportional reading time (PRT) as a metric of time spent on subtitle reading\n and (2) the analysis of data via linear mixed models (LMMs). We tested 19 Polish L1 viewers with advanced English\n proficiency watching two clips with English soundtrack with Polish subtitles. First, we compared PRT at two different subtitle\n speeds: 12 characters per second (cps) and 20 cps. Then, we used actual subtitle speed rates to better understand the speed-PRT\n relationship. The results showed a significantly higher PRT for 20 cps compared to 12 cps, with the models predicting a PRT of\n 45.24% at 20 cps. We have also found strong evidence of the advantage of LMMs over more commonly used statistical techniques.","PeriodicalId":191154,"journal":{"name":"Translation, Cognition & Behavior","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Effects of subtitle speed on proportional reading time\",\"authors\":\"A. Szarkowska, Breno B. Silva, David Orrego-Carmona\",\"doi\":\"10.1075/tcb.00057.sza\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n How much time do viewers spend reading subtitles and does it depend on the subtitle speed? By posing these\\n questions, in this paper we re-analyse previous data to address this issue while promoting two methodological advancements in\\n eye-tracking audiovisual research: (1) the use of proportional reading time (PRT) as a metric of time spent on subtitle reading\\n and (2) the analysis of data via linear mixed models (LMMs). We tested 19 Polish L1 viewers with advanced English\\n proficiency watching two clips with English soundtrack with Polish subtitles. First, we compared PRT at two different subtitle\\n speeds: 12 characters per second (cps) and 20 cps. Then, we used actual subtitle speed rates to better understand the speed-PRT\\n relationship. The results showed a significantly higher PRT for 20 cps compared to 12 cps, with the models predicting a PRT of\\n 45.24% at 20 cps. We have also found strong evidence of the advantage of LMMs over more commonly used statistical techniques.\",\"PeriodicalId\":191154,\"journal\":{\"name\":\"Translation, Cognition & Behavior\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-12-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Translation, Cognition & Behavior\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1075/tcb.00057.sza\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Translation, Cognition & Behavior","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1075/tcb.00057.sza","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Effects of subtitle speed on proportional reading time
How much time do viewers spend reading subtitles and does it depend on the subtitle speed? By posing these
questions, in this paper we re-analyse previous data to address this issue while promoting two methodological advancements in
eye-tracking audiovisual research: (1) the use of proportional reading time (PRT) as a metric of time spent on subtitle reading
and (2) the analysis of data via linear mixed models (LMMs). We tested 19 Polish L1 viewers with advanced English
proficiency watching two clips with English soundtrack with Polish subtitles. First, we compared PRT at two different subtitle
speeds: 12 characters per second (cps) and 20 cps. Then, we used actual subtitle speed rates to better understand the speed-PRT
relationship. The results showed a significantly higher PRT for 20 cps compared to 12 cps, with the models predicting a PRT of
45.24% at 20 cps. We have also found strong evidence of the advantage of LMMs over more commonly used statistical techniques.