Japanese / English


論文の言語 英語
著者 Kanta Yamaoka, Andrew W. Vargo, Motoi Iwata, Koichi Kise
論文名 Towards Guided-Breath as an Intervention Within Computer-Assisted Learning
論文誌名 Adjunct Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2022 International Symposium on Wearable Computers (UbiComp/ISWC '22 Adjunct)
ページ数 3 pages
出版社 ACM
発表場所 Cambridge, UK
発表の種類 ポスター発表
年月 2022年9月
要約 Mindfulness has been actively investigated in HCI. While its positive effects on our cognitive functions are reported, carrying out mindfulness activities in general requires self-discipline to get its reported benefits. Our study aims to integrate a visual guide of breathing into computer-assisted learning to help the learner achieve better performance. We present within-subject research with 10 participants who learned sets of Croatian vocabulary with a multiple-choice interface showing either for 10 seconds : (a) guided-breath or (b) break instruction after every question. Our hypothesis was that (a) brings a better learner's score than (b). However, statistical analysis of learners' quiz scores did not support our hypothesis, which brought us two lessons for future improvements of our work-in-progress research. Such intervention (i) could lead to distraction rather than concentration without careful quantity and quality, and (ii) might need personalization depending on individual mindfulness levels.