research-article

Atmos: a hybrid crowdsourcing approach to weather estimation

Authors:

Evangelos Niforatos,

Athanasios Vourvopoulos,

Marc Langheinrich,

Pedro Campos,

Andre DoriaAuthors Info & Claims

UbiComp '14 Adjunct: Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication

Pages 135 - 138

https://doi.org/10.1145/2638728.2638780

Published: 13 September 2014 Publication History

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Abstract

Motivated by the novel paradigm of participatory sensing in collecting in situ automated data and human input we introduce the Atmos platform. Atmos leverages a crowd-sourcing network of mobile devices for the collection of in situ weather related sensory data, provided by available on-board sensors, along with human input, to generate highly localized information about current and future weather conditions. In this paper, we share our first insights of an 8-month long deployment of Atmos mobile app on Google Play that gathered data from a total of 9 countries across 3 continents. Furthermore, we describe the underlying system infrastructure and showcase how a hybrid people-centric and environment-centric approach to weather estimation could benefit forecasting. Finally, we present our preliminary results originating from questionnaires inquiring into how people perceive the weather, how they use technology to know about the weather and how it affects their habits.

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Cited By

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Yao MTao DWang JGao RSun K(2022)MARVAir: Meteorology Augmented Residual-Based Visual Approach for Crowdsourcing Air Quality InferenceIEEE Transactions on Instrumentation and Measurement10.1109/TIM.2022.319319771(1-10)Online publication date: 2022
https://doi.org/10.1109/TIM.2022.3193197
Jiao YWang PNiyato DJiao YWang PNiyato D(2021)IntroductionAlgorithmic Mechanism Design for Internet of Things Services Market10.1007/978-981-16-7353-5_1(1-13)Online publication date: 27-Nov-2021
https://doi.org/10.1007/978-981-16-7353-5_1
Jiao YWang PNiyato DLin BKim D(2020)Mechanism Design for Wireless Powered Spatial Crowdsourcing NetworksIEEE Transactions on Vehicular Technology10.1109/TVT.2019.295292669:1(920-934)Online publication date: Jan-2020
https://doi.org/10.1109/TVT.2019.2952926
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Index Terms

Atmos: a hybrid crowdsourcing approach to weather estimation
1. Human-centered computing

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Published In

UbiComp '14 Adjunct: Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication

September 2014

1409 pages

ISBN:9781450330473

DOI:10.1145/2638728

General Chairs:
AJ Brush
Microsoft Research
,
Adrian Friday
Lancaster University, UK
,
Program Chairs:
Julie Kientz
University of Washington
,
James Scott
Microsoft Research, UK
,
Junehwa Song
Korea Advanced Institute of Science and Technology (KAIST), KR

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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SIGSPATIAL: ACM Special Interest Group on Spatial Information

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Association for Computing Machinery

New York, NY, United States

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Published: 13 September 2014

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September 13 - 17, 2014

Washington, Seattle

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Overall Acceptance Rate 764 of 2,912 submissions, 26%

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Yao MTao DWang JGao RSun K(2022)MARVAir: Meteorology Augmented Residual-Based Visual Approach for Crowdsourcing Air Quality InferenceIEEE Transactions on Instrumentation and Measurement10.1109/TIM.2022.319319771(1-10)Online publication date: 2022
https://doi.org/10.1109/TIM.2022.3193197
Jiao YWang PNiyato DJiao YWang PNiyato D(2021)IntroductionAlgorithmic Mechanism Design for Internet of Things Services Market10.1007/978-981-16-7353-5_1(1-13)Online publication date: 27-Nov-2021
https://doi.org/10.1007/978-981-16-7353-5_1
Jiao YWang PNiyato DLin BKim D(2020)Mechanism Design for Wireless Powered Spatial Crowdsourcing NetworksIEEE Transactions on Vehicular Technology10.1109/TVT.2019.295292669:1(920-934)Online publication date: Jan-2020
https://doi.org/10.1109/TVT.2019.2952926
Humairaa FGokhool AChuttur Y(2019)A Crowdsourced Mobile App Architecture for Plotting User Rated Free WiFi Hotspots2019 Conference on Next Generation Computing Applications (NextComp)10.1109/NEXTCOMP.2019.8883616(1-5)Online publication date: Sep-2019
https://doi.org/10.1109/NEXTCOMP.2019.8883616
Zhou TCai ZXiao BWang LXu MChen Y(2018)Location Privacy-Preserving Data Recovery for Mobile CrowdsensingProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/32649612:3(1-23)Online publication date: 18-Sep-2018
https://dl.acm.org/doi/10.1145/3264961
Zheng FTao RMaier HSee LSavic DZhang TChen QAssumpção TYang PHeidari BRieckermann JMinsker BBi WCai XSolomatine DPopescu I(2018)Crowdsourcing Methods for Data Collection in Geophysics: State of the Art, Issues, and Future DirectionsReviews of Geophysics10.1029/2018RG00061656:4(698-740)Online publication date: 5-Dec-2018
https://doi.org/10.1029/2018RG000616
Reinhardt DDürr F(2018)Opportunities and Risks of Delegating Sensing Tasks to the CrowdHandbook of Mobile Data Privacy10.1007/978-3-319-98161-1_6(129-165)Online publication date: 27-Oct-2018
https://doi.org/10.1007/978-3-319-98161-1_6
Niforatos EVourvopoulos ALangheinrich M(2017)Understanding the potential of humanmachine crowdsourcing for weather dataInternational Journal of Human-Computer Studies10.1016/j.ijhcs.2016.10.002102:C(54-68)Online publication date: 1-Jun-2017
https://dl.acm.org/doi/10.1016/j.ijhcs.2016.10.002
Kim HOh SLim J(2017)Development of local area alert system against particulate matters and ultraviolet rays based on open IoT platform with P2PPeer-to-Peer Networking and Applications10.1007/s12083-017-0592-211:6(1240-1251)Online publication date: 25-Aug-2017
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Ji SZheng YLi TLukowicz PKrüger ABulling ALim YPatel S(2016)Urban sensing based on human mobilityProceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing10.1145/2971648.2971735(1040-1051)Online publication date: 12-Sep-2016
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Weather with you: evaluating report reliability in weather crowdsourcing

Understanding the potential of humanmachine crowdsourcing for weather data

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