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

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

This work addresses the task allocation problem in spatial crowdsensing with altruistic participation, tackling challenges like declining engagement and user fatigue from task overload. Unlike typical models relying on financial incentives, this context requires alternative strategies to sustain par...

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Bibliographic Details
Main Authors: Maite Puerta-Beldarrain, Oihane Gómez-Carmona, Liming Chen, Diego López-de-Ipiña, Diego Casado-Mansilla, Felipe Vergara-Borge
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Sensors
Subjects:
citizen science
spatial crowdsourcing
crowdsensing
task allocation
Online Access:https://www.mdpi.com/1424-8220/24/24/8117
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