Individual learning support about first aid with a human-shaped input device

Ryuga Kato, Kento Izumida, Hiroshi Shigeno, Ken'ichi Okada

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

When a large-scale disaster occurs, it is necessary for citizens to take the lead and do rescue operations. People train and prepare for disasters in advance, but training sessions cannot be held easily, and the learning pace of each individual is not considered. In this study, we propose a first aid training system for citizens using a human-shaped input device, QUMARION. This system provides first aid skills training through humancomputer interaction. By using a human-shaped input device instead of human bodies, people can carry out the training of posture management individually and learn at their own pace. In addition, since our system provides advice and feedback depending on the knowledge level of the user, not only can they perform the learning, but they can also confirm whether they acquire knowledge and skills correctly. We conducted an experiment to see whether the trainee can learn accurately by using our system. The results showed that our system enables easy and effective learning about first aid.

Original languageEnglish
Title of host publicationMUM 2016 - 15th International Conference on Mobile and Ubiquitous Multimedia, Proceedings
PublisherAssociation for Computing Machinery
Pages181-189
Number of pages9
VolumePart F125832
ISBN (Electronic)9781450348607
DOIs
Publication statusPublished - 2016 Dec 12
Event15th International Conference on Mobile and Ubiquitous Multimedia, MUM 2016 - Rovaniemi, Finland
Duration: 2016 Dec 122016 Dec 15

Other

Other15th International Conference on Mobile and Ubiquitous Multimedia, MUM 2016
Country/TerritoryFinland
CityRovaniemi
Period16/12/1216/12/15

Keywords

  • First aid
  • Human-shaped input device
  • Individual learning
  • Posture management
  • Training system
  • Triage

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

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