A spatial crowdsourcing engine for harmonizing volunteers’ needs and tasks’ completion goals

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dc.contributor.authorPuerta Beldarrain, Maite
dc.contributor.authorGómez Carmona, Oihane
dc.contributor.authorChen, Liming
dc.contributor.authorLópez de Ipiña González de Artaza, Diego
dc.contributor.authorCasado Mansilla, Diego
dc.contributor.authorVergara, Felipe Eduardo
dc.date.accessioned2025-02-20T11:21:33Z
dc.date.available2025-02-20T11:21:33Z
dc.date.issued2024-12
dc.date.updated2025-02-20T11:21:33Z
dc.description.abstractThis 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 participation. This paper presents a new solution, the Volunteer Task Allocation Engine (VTAE), to address these challenges. This solution is not based on economic incentives, and it has two primary goals. The first one is to improve user experience by limiting the workload and creating a user-centric task allocation solution. The second goal is to create an equal distribution of tasks over the spatial locations to make the solution robust against the possible decrease in participation. Two approaches are used to test the performance of this solution against different conditions: computer simulations and a real-world experiment with real users, which include a qualitative evaluation. The simulations tested system performance in controlled environments, while the real-world experiment assessed the effectiveness and usability of the VTAE with real users. This research highlights the importance of user-centered design in citizen science applications with altruistic participation. The findings demonstrate that the VTAE algorithm ensures equitable task distribution across geographical areas while actively involving users in the decision-making process.en
dc.description.sponsorshipThis work has been supported by grant IT1582-22 from the Basque Government, which recognizes DEUSTEK5 as an excellent research group under the Basque university system. Besides, we acknowledge the Ministerio de Ciencia e Innovación for IoP, under Grant No.: PID2020-119682RBI00. Finally, this work has been partially supported by the European Commission through the SOCIO-BEE project under Grant No. 101037648. and the Spanish FECYT’s project “AmIAire: Red ciudadana para la monitorización de la calidad del aire” FCT-23-19719. Ethical approval was obtained for this study, as it involved research with human participantsen
dc.identifier.citationPuerta-Beldarrain, M., Gómez-Carmona, O., Chen, L., López-de-Ipiña, D., Casado-Mansilla, D., & Vergara-Borge, F. (2024). A Spatial Crowdsourcing Engine for Harmonizing Volunteers’ Needs and Tasks’ Completion Goals. Sensors, 24(24). https://doi.org/10.3390/S24248117
dc.identifier.doi10.3390/S24248117
dc.identifier.eissn1424-8220
dc.identifier.urihttp://hdl.handle.net/20.500.14454/2339
dc.language.isoeng
dc.publisherMultidisciplinary Digital Publishing Institute (MDPI)
dc.rights© 2024 by the authors
dc.subject.otherCitizen science
dc.subject.otherCrowdsensing
dc.subject.otherSpatial crowdsourcing
dc.subject.otherTask allocation
dc.titleA spatial crowdsourcing engine for harmonizing volunteers’ needs and tasks’ completion goalsen
dc.typejournal article
dcterms.accessRightsopen access
oaire.citation.issue24
oaire.citation.titleSensors
oaire.citation.volume24
oaire.licenseConditionhttps://creativecommons.org/licenses/by/4.0/
oaire.versionVoR
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