ContinuousSensing: a task allocation algorithm for human–robot collaborative mobile crowdsensing with task migration

Li, Haoyang; Yu, Zhiwen; Luo, Yixuan; Cui, Helei; Guo, Bin

doi:10.1007/s42486-024-00154-z

CCF Trans. Pervasive Comp. Interact.

2024

DOI: 10.1007/s42486-024-00154-z

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ContinuousSensing: a task allocation algorithm for human–robot collaborative mobile crowdsensing with task migration

Haoyang Li,

Zhiwen Yu,

Yixuan Luo

et al.

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Cited by 1 publication

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

Puerta-Beldarrain,

Gómez-Carmona,

Chen

et al. 2024

Sensors

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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 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.

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

Puerta-Beldarrain,

Gómez-Carmona,

Chen

et al. 2024

Sensors

View full text Add to dashboard Cite

show abstract

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ContinuousSensing: a task allocation algorithm for human–robot collaborative mobile crowdsensing with task migration

Cited by 1 publication

References 23 publications

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

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

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