No "one-size fits all": Towards a principled approach for incentives in mobile crowdsourcing

John P. Rula, Vishnu Navda, Fabian E Bustamante, Ranjita Bhagwan, Saikat Guha

Research output: Contribution to conferencePaperpeer-review

32 Scopus citations

Abstract

We are becoming increasingly aware that the effectiveness of mobile crowdsourcing systems critically depends on the whims of their human participants, impacting everything from participant engagement to their compliance with the crowdsourced tasks. In response, a number of such systems have started to incorporate different incentive features aimed at a wide range of goals that span from improving participation levels, to extending the systems' coverage, and enhancing the quality of the collected data. Despite the many related efforts, the inclusion of incentives in crowdsourced systems has so far been mostly ad-hoc, treating incentives as a wild-card response fitted for any occasion and goal. Using data from a large, 2-day experiment with 96 participants at a corporate conference, we present an analysis of the impact of two incentive structures on the recruitment, compliance and user effort of a basic mobile crowdsourced service. We build on these preliminary results to argue for a principled approach for selecting incentive and incentive structures to match the variety of requirements ofmobile crowdsourcing applications and discuss key issues in working toward that goal.

Original languageEnglish (US)
DOIs
StatePublished - Jan 1 2014
Event15th Workshop on Mobile Computing Systems and Applications, HotMobile 2014 - Santa Barbara, CA, United States
Duration: Feb 26 2014Feb 27 2014

Other

Other15th Workshop on Mobile Computing Systems and Applications, HotMobile 2014
CountryUnited States
CitySanta Barbara, CA
Period2/26/142/27/14

ASJC Scopus subject areas

  • Computer Science Applications
  • Software

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