文献の詳細

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
査読の有無	有
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.

• BibTeX用エントリー

  @InProceedings{Yamaoka2022,
    author =	{Kanta Yamaoka and Andrew W. Vargo and Motoi Iwata and Koichi Kise},
    title =	{Towards Guided-Breath as an Intervention Within Computer-Assisted Learning},
    booktitle =	{Adjunct Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2022 International Symposium on Wearable Computers (UbiComp/ISWC \&\#39;22 Adjunct)},
    year =	2022,
    month =	sep,
    numpages =	{3},
    publisher =	{ACM},
    location =	{Cambridge, UK}
  }
  
  
  

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