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 contributionpeer-review

2 Citations (Scopus)

Abstract

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
Pages17-33
Number of pages17
EditionPART 2
ISBN (Print)9783319100845
DOIs
Publication statusPublished - 2014
Event25th International Conference on Database and Expert Systems Applications, DEXA 2014 - Munich, Germany
Duration: 1 Sep 20144 Sep 2014

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

Conference

Conference25th International Conference on Database and Expert Systems Applications, DEXA 2014
Country/TerritoryGermany
CityMunich
Period1/09/144/09/14

Keywords

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

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