{"title":"A systematic comparison of 3 phrase sampling methods for text entry experiments in 10 languages","authors":"Germán Sanchis-Trilles, Luis A. Leiva","doi":"10.1145/2628363.2634229","DOIUrl":null,"url":null,"abstract":"Today's reference datasets for conducting text entry experiments are only available in English, which may lead to misleading results when testing text entry methods with non-native English speakers. We compared 3 automated phrase sampling methods available in the literature: Random, Ngram, and MemRep. It was found that MemRep performs best according to a statistical analysis and qualitative observations. This resulted in a collection of 30 datasets across 10 major languages, and we wish to share them with the community via this paper.","PeriodicalId":74207,"journal":{"name":"MobileHCI : proceedings of the ... International Conference on Human Computer Interaction with Mobile Devices and Services. MobileHCI (Conference)","volume":"31 1","pages":"537-542"},"PeriodicalIF":0.0000,"publicationDate":"2014-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"MobileHCI : proceedings of the ... International Conference on Human Computer Interaction with Mobile Devices and Services. MobileHCI (Conference)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2628363.2634229","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
Today's reference datasets for conducting text entry experiments are only available in English, which may lead to misleading results when testing text entry methods with non-native English speakers. We compared 3 automated phrase sampling methods available in the literature: Random, Ngram, and MemRep. It was found that MemRep performs best according to a statistical analysis and qualitative observations. This resulted in a collection of 30 datasets across 10 major languages, and we wish to share them with the community via this paper.
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