Spaced retrieval memory training system for elderly: An investigation of design criteria

Yin Fang, Chien Hsu Chen, Zheng Yu Hoe

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

1 Citation (Scopus)

Abstract

Memory destruction affects daily life of the elderly, and dementia is an irreversible brain dysfunction. In non-pharmacological treatments of dementia, spaced retrieval training (SRT) is a memory intervention supporting memory recall and remaining memory capacity. Furthermore, it is easy to learn and execute by caregivers. Studies show interactive technology could reduce cognitive load and increase learning interest of dementia patients. However, related researches of combining interactive technology and SRT are still unclear. The conventional SRT uses typography and pictographs as training content, while employing interactive technology in SRT provides an interactive environment with an intuitive learning experience. Therefore, the objective is developing design criteria of SRT system through observation, interview, and focus group. Twelve elderly people, one social worker, and two caregivers are recruited for observation and interview to collect information for focus group. The results are utilized as design criteria for SRT system and establish foundation for future work.

Original languageEnglish
Title of host publicationACM International Conference Proceeding Series
PublisherAssociation for Computing Machinery
Pages269-274
Number of pages6
ISBN (Print)9781450366397
DOIs
Publication statusPublished - 2019
Event7th International Conference on Information and Education Technology, ICIET 2019 - Aizu-Wakamatsu, Japan
Duration: 2019 Mar 292019 Mar 31

Publication series

NameACM International Conference Proceeding Series
VolumePart F148391

Conference

Conference7th International Conference on Information and Education Technology, ICIET 2019
Country/TerritoryJapan
CityAizu-Wakamatsu
Period19-03-2919-03-31

All Science Journal Classification (ASJC) codes

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

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