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Published in 2021 at "Journal of Traffic and Transportation Engineering"
DOI: 10.1016/j.jtte.2020.09.004
Abstract: Abstract The purpose of the paper is to analyse the effectiveness of a solution known as road condition tool (RCT) based on data crowdsourcing from smartphones users in the transport system. The tool developed by…
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Keywords:
based data;
road;
pavement condition;
condition ... See more keywords
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Published in 2023 at "Experimental and clinical psychopharmacology"
DOI: 10.1037/pha0000641.supp
Abstract: In an effort to educate consumers of cannabis, we created a downloadable application (app) for mobile phones that collects data on the neuropsychological effects related to cannabis use. In particular, the app assessed four domains,…
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Keywords:
crowdsourcing psychomotor;
app;
cognitive effects;
data crowdsourcing ... See more keywords
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Published in 2020 at "IEEE Transactions on Control of Network Systems"
DOI: 10.1109/tcns.2019.2905090
Abstract: Data crowdsourcing has found a broad range of applications (e.g., environmental monitoring and image classification) by leveraging the “wisdom” of a potentially large crowd of “workers” (e.g., mobile users). A key metric of crowdsourcing is…
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Keywords:
requester;
quality;
data quality;
data crowdsourcing ... See more keywords
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Published in 2022 at "IEEE Transactions on Mobile Computing"
DOI: 10.1109/tmc.2020.3040138
Abstract: Data crowdsourcing is a promising paradigm that leverages the “wisdom” of a potentially large crowd of “workers” in many application domains. Quality-aware crowdsourcing is beneficial as it makes use of workers’ data quality to perform…
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Keywords:
quality;
quality data;
data crowdsourcing;
privacy ... See more keywords
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Published in 2022 at "IEEE/ACM Transactions on Networking"
DOI: 10.1109/tnet.2021.3105427
Abstract: Incentive mechanism design and quality control are two key challenges in data crowdsourcing, because of the need for recruitment of crowd users and their limited capabilities. Without considering users’ social influences, existing mechanisms often result…
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Keywords:
quality;
quality aware;
incentive mechanisms;
data crowdsourcing ... See more keywords