Japanese / English


論文の言語 英語
著者 Riku Higashimura, Andrew W. Vargo, Motoi Iwata, Koichi Kise
論文名 Helping Mobile Learners Know Unknown Words through their Reading Behavior
論文誌名 CHI Conference on Human Factors in Computing Systems Extended Abstracts (CHI '22 Extended Abstracts)
ページ数 5 pages
発表場所 New Orleans, LA, USA
発表の種類 ポスター発表
年月 2022年4月
要約 Vocabulary acquisition is a fundamental part of learning a new language. In order to acquire new vocabulary, words with meanings that are unknown to the learner must be added to the language learning process. When searching for material in the target language, it is useful to know how much of a document is made up of currently unknown words. One simple way to estimate the unknown words in a document is to use the frequency of occurrence, which indicates the difficulty of the word. However, this approach can lead to missed unknown words. In this study, we aim to improve the accuracy of unknown word estimation by using reading activity data obtained from smartphone sensors and taking into account the individual learner's English reading behavior. We apply a novel user interface which allows us to improve estimation through reading behavior, without the use of eye-trackers.
DOI 10.1145/3491101.3519620
URL https://dl.acm.org/doi/abs/10.1145/3491101.3519620