Development of web-based learning materials to support assisting-skill acquisition using 3DCG

Kaoru Eto, Hiroshi Takase, Hiroshi Matsuda, Atsuko Yamazaki, Hiroko Yoshida, Kiyomi Ito, Chiemi Ogiwara, Ikuko Saeki, Akihiko Shimizu, Suopor Hiranchiracheep

Research output: Contribution to journalConference articlepeer-review

1 Citation (Scopus)


Japan's population is aging rapidly, and the number of people who need caregivers is expected to increase dramatically. Establishing a method of educating the human resources who will meet this need is an urgent task. In this study, we visualized the differences between expert and novice caregiver behaviors and considered how to bring them to the attention of learnerS. We used three-dimensional computer graphics (3DCG) images of caregivers to develop web-based learning materials to support the learning of applied nursing skillS. We then had the materials evaluated by nursing/caregiving professionals to confirm their effectiveness in teaching those skillS.

Original languageEnglish
Pages (from-to)1710-1719
Number of pages10
JournalProcedia Computer Science
Publication statusPublished - 2018
Event22nd International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2018 - Belgrade, Serbia
Duration: 2018 Sept 32018 Sept 5


  • 3DCG images
  • assisting-skill acquisition
  • visualization
  • web-based learning materials

ASJC Scopus subject areas

  • Computer Science(all)


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