Designing incentives for community-based mobile crowdsourcing service architecture

Mizuki Sakamoto, Hairihan Tong, Yefeng Liu, Tatsuo Nakajima, Sayaka Akioka

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

Good design strategies for designing social media are important for their success, but current designs are usually ad-hoc, relying on human intuition. In this paper, we present an overview of three community-based mobile crowdsourcing services that we have developed as case studies. In community-based mobile crowdsourcing services, people voluntarily contribute to help other people anytime and anywhere using mobile phones. The task required is usually trivial, so people can perform it with a minimum effort and low cognitive load. This approach is different from traditional ones because service architecture designers need to consider the tradeoff among several types of incentives when designing a basic architecture. We then extract six insights from our experiences to show that motivating people is the most important factor in designing mobile crowdsourcing service architecture. The design strategies of community-based mobile crowdsourcing services explicitly consider the tradeoff among multiple incentives. This is significantly different from the design in traditional crowdsourcing services because their designers usually consider only a few incentives when designing respective social media. The insights are valuable lessons learned while designing and operating the case studies and are essential to successful design strategies for building future more complex crowdsourcing services.

本文言語English
ホスト出版物のタイトルDatabase and Expert Systems Applications - 25th International Conference, DEXA 2014, Proceedings
出版社Springer Verlag
ページ17-33
ページ数17
PART 2
ISBN(印刷版)9783319100845
DOI
出版ステータスPublished - 2014
イベント25th International Conference on Database and Expert Systems Applications, DEXA 2014 - Munich, Germany
継続期間: 2014 9月 12014 9月 4

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
番号PART 2
8645 LNCS
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Other

Other25th International Conference on Database and Expert Systems Applications, DEXA 2014
国/地域Germany
CityMunich
Period14/9/114/9/4

ASJC Scopus subject areas

  • 理論的コンピュータサイエンス
  • コンピュータ サイエンス(全般)

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