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Do Monetary Incentives Influence Users' Behavior in Participatory Sensing?

Ngo Manh Khoi1, Sven Casteleyn2, M Mehdi Moradi3

  • 1GEOTEC, Institute of New Imaging Technologies (INIT), Universitat Jaume I, 12071 Castellón, Spain. mngo@uji.es.

Sensors (Basel, Switzerland)
|May 9, 2018
PubMed
Summary

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This summary is machine-generated.

Monetary incentives boost participation in participatory sensing. Fixed micro-payments were most effective, followed by lotteries, then variable micro-payments, with older users participating less.

Area of Science:

  • Human-Computer Interaction
  • Mobile Computing
  • Crowdsensing

Background:

  • Participatory sensing leverages mobile devices and human intelligence for high-resolution data collection.
  • User motivation is critical for successful participatory sensing, necessitating effective incentive mechanisms.

Purpose of the Study:

  • To introduce the Citizense framework for accessible, flexible, and transparent participatory sensing.
  • To evaluate the effectiveness of three monetary incentive mechanisms: fixed micro-payment, variable micro-payment, and lottery.

Main Methods:

  • A large-scale, real-world study involving 230 participants and 44 sensing campaigns.
  • Randomized distribution of incentive mechanisms across participants and campaigns.
  • Analysis of participation rates across demographic subgroups.
Keywords:
monetary incentiveparticipatory sensingsmart cityuser behavioruser engagement

Related Experiment Videos

Main Results:

  • Monetary incentives significantly improve participation rates in participatory sensing.
  • The effectiveness order of incentives for the general population is: fixed micro-payment > lottery > variable micro-payment.
  • Age negatively correlates with participation, with older individuals contributing less.

Conclusions:

  • Monetary incentives are effective in enhancing user engagement in participatory sensing.
  • Fixed micro-payment is the most effective incentive mechanism, followed by lottery and variable micro-payment.
  • Demographic factors, particularly age, influence participation levels.