Community-based Crowdsourcing to Increase a Community's Well-being

Kota Gushima, Mizuki Sakamoto, Tatsuo Nakajima

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

    Abstract

    The paper proposes a new way to encourage a community to increase the sustainability of their surroundings based on crowdsourcing. The most important characteristic in the approach is to automatically insert tasks that increase the community's well-being. Therefore, the more tasks the community's members perform that make their surroundings sustainable, the more they increase their well-being. The research is based on a microcrowdfunding crowdsourcing infrastructure. A new functionality to automatically add micro-Tasks to increase a community's wellbeing is designed for enhancing the infrastructure. We also describe a preliminary user study to demonstrate the feasibility of our approach.

    Original languageEnglish
    Title of host publication18th International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2016 - Proceedings
    PublisherAssociation for Computing Machinery
    Pages1-6
    Number of pages6
    VolumePart F126325
    ISBN (Electronic)9781450348072
    DOIs
    Publication statusPublished - 2016 Nov 28
    Event18th International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2016 - Singapore, Singapore
    Duration: 2016 Nov 282016 Nov 30

    Other

    Other18th International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2016
    CountrySingapore
    CitySingapore
    Period16/11/2816/11/30

    ASJC Scopus subject areas

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

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  • Cite this

    Gushima, K., Sakamoto, M., & Nakajima, T. (2016). Community-based Crowdsourcing to Increase a Community's Well-being. In 18th International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2016 - Proceedings (Vol. Part F126325, pp. 1-6). Association for Computing Machinery. https://doi.org/10.1145/3011141.3011173