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A Spatial Crowdsourcing Engine for Harmonizing Volunteers' Needs and Tasks' Completion Goals.

Maite Puerta-Beldarrain1, Oihane Gómez-Carmona1, Liming Chen2

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Summary
This summary is machine-generated.

This study introduces the Volunteer Task Allocation Engine (VTAE) for spatial crowdsensing, improving user experience and ensuring equitable task distribution without financial incentives. The VTAE enhances participation in citizen science by focusing on user well-being and robust task allocation.

Keywords:
citizen sciencecrowdsensingspatial crowdsourcingtask allocation

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Area of Science:

  • * Computer Science
  • * Human-Computer Interaction
  • * Geospatial Information Systems

Background:

  • * Spatial crowdsensing often relies on financial incentives, leading to user fatigue and declining engagement.
  • * Altruistic participation models require alternative strategies to sustain user involvement and task completion.
  • * Existing task allocation methods may not adequately address user experience or equitable spatial distribution.

Purpose of the Study:

  • * To develop a non-monetary task allocation solution for spatial crowdsensing with altruistic participants.
  • * To enhance user experience by managing workload and implementing a user-centric approach.
  • * To ensure equitable task distribution across spatial locations for increased robustness against participation fluctuations.

Main Methods:

  • * Development of the Volunteer Task Allocation Engine (VTAE) algorithm.
  • * Performance evaluation through computer simulations in controlled environments.
  • * Real-world experiment with qualitative evaluation involving actual users.

Main Results:

  • * The VTAE algorithm demonstrated effective and equitable task distribution across geographical areas.
  • * User-centered design principles were validated as crucial for citizen science applications.
  • * The VTAE system proved robust in maintaining participation and task allocation.

Conclusions:

  • * The Volunteer Task Allocation Engine (VTAE) offers a viable solution for sustainable spatial crowdsensing with altruistic participants.
  • * User-centric design and equitable task distribution are key to mitigating user fatigue and ensuring long-term engagement.
  • * The VTAE approach successfully balances system robustness with improved user experience in citizen science initiatives.