Tomoyo Sasao, Shin'ichi Konomi, Vassilis Kostakos, Keisuke Kuribayashi, Jorge Goncalves, Community Reminder: Participatory contextual reminder environments for local communities, International Journal of Human-Computer Studies, Volume 102, 2017, Pages 41-53, ISSN 1071-5819, https://doi.org/10.1016/j.ijhcs.2016.09.001.
Community Reminder : participatory contextual reminder environments for local communities
|Author:||Sasao, Tomoyo1; Konomi, Shin'ichi2; Kostakos, Vassilis3;|
1Graduate School of Frontier Sciences, the University of Tokyo
2Center for Spatial Information Science, the University of Tokyo
3Center for Ubiquitous Computing, University of Oulu
|Online Access:||PDF Full Text (PDF, 8.1 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2018112148809
|Publish Date:|| 2018-09-04
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.
International journal of human-computer studies
|Pages:||41 - 53|
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
213 Electronic, automation and communications engineering, electronics
This work is partially supported by MEXT under the Green Network of Excellence (GRENE) program, JSPS KAKENHI Grant No. 15J08542, and SS Avenue, Inc. under the joint research program on crowdsourcing tools for coping with crimes and disasters using spatial information. This work is also partially funded by the Academy of Finland (Grants 276786-AWARE, 285062-iCYCLE, 286386-CPDSS, 285459-iSCIENCE), and the European Commission (Grants PCIG11-GA-2012-322138, 645706-GRAGE, and 6AIKA-A71143-AKAI).
|Academy of Finland Grant Number:||
276786 (Academy of Finland Funding decision)
285062 (Academy of Finland Funding decision)
286386 (Academy of Finland Funding decision)
285459 (Academy of Finland Funding decision)
© 2017 Elsevier Ltd. All rights reserved. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/.