Community Reminder: Participatory contextual reminder environments for local communities

Tomoyo Sasao, Shin'ichi Konomi, Vassilis Kostakos, Keisuke Kuribayashi, Jorge Goncalves

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

Many projects have looked at how communities can co-design shared online repositories, such as Wikimapia and Wikipedia. However, little work has examined how local communities can give advice and support to their members by creating context-aware reminders that may include advice, tips and small requests. We developed the Community Reminder environment, a smartphone-based platform that supports community members to design and use context-aware reminders. We have conducted a one-month field study of Community Reminder to crowdsource and deliver safety-relevant information in a local community. The results show the benefits of involving community members in reminder design and connecting different perspectives. We also show that the proposed approach can broaden participation in local communities.

Original languageEnglish
Pages (from-to)41-53
Number of pages13
JournalInternational Journal of Human Computer Studies
Volume102
DOIs
Publication statusPublished - Jun 1 2017

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community
Smartphones
Wikipedia
field of study
participation

All Science Journal Classification (ASJC) codes

  • Software
  • Human Factors and Ergonomics
  • Education
  • Engineering(all)
  • Human-Computer Interaction
  • Hardware and Architecture

Cite this

Community Reminder : Participatory contextual reminder environments for local communities. / Sasao, Tomoyo; Konomi, Shin'ichi; Kostakos, Vassilis; Kuribayashi, Keisuke; Goncalves, Jorge.

In: International Journal of Human Computer Studies, Vol. 102, 01.06.2017, p. 41-53.

Research output: Contribution to journalArticle

Sasao, Tomoyo ; Konomi, Shin'ichi ; Kostakos, Vassilis ; Kuribayashi, Keisuke ; Goncalves, Jorge. / Community Reminder : Participatory contextual reminder environments for local communities. In: International Journal of Human Computer Studies. 2017 ; Vol. 102. pp. 41-53.
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