Designing incentives for community-based mobile crowdsourcing service architecture

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

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

2 Citations (Scopus)


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.

Original languageEnglish
Title of host publicationDatabase and Expert Systems Applications - 25th International Conference, DEXA 2014, Proceedings
PublisherSpringer Verlag
Number of pages17
EditionPART 2
ISBN (Print)9783319100845
Publication statusPublished - 2014
Event25th International Conference on Database and Expert Systems Applications, DEXA 2014 - Munich, Germany
Duration: 2014 Sept 12014 Sept 4

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume8645 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other25th International Conference on Database and Expert Systems Applications, DEXA 2014


  • Case Studies
  • Community-Based Approach
  • Design Strategy
  • Mobile Crowdsourcing
  • Motivation
  • Social Media

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


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