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WeatherUSI: Crowdsourcing Weather Experience on Public Displays

Published: 10 June 2015 Publication History

Abstract

Motivated by the opportunity of using public displays to contribute to crowdsourcing, we developed WeatherUSI -- an application that allows passers-by to provide subjective information about the weather, both currently and in the near future. In contrast to the input collected by an already fielded mobile app called Atmos, we envision the public display component to provide not only highly localized information about current and future weather conditions, but also to better incentivize the reporting process, given its public nature. In our upcoming deployment of WeatherUSI, we plan to investigate how participation through the public display component differs from the mobile component, and if the quality of weather related input differs between the two. This work in progress presents our approach, describes the underlying system infrastructure and outlines our planned study design.

References

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Bangor, A., Kortum, P.T., and Miller, J.T. An empirical evaluation of the system usability scale. Intl. Journal of Human--Computer Interaction 24, 6 (2008), 574--594.
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Davies, N., Langheinrich, M., Jose, R., and Schmidt, A. Open display networks: A communications medium for the 21st century. IEEE Computer Society 45, Special Issue on Large Interactive Displays (2012), 58--64.
[3]
Elhart, I., Langheinrich, M., Memarovic, N., and Heikkinen, T. Scheduling Interactive and Concurrently Running Applications in Pervasive Display Networks. ACM Press (2014), 104--109.
[4]
Goncalves, J., Ferreira, D., Hosio, S., et al. Crowdsourcing on the spot: altruistic use of public displays, feasibility, performance, and behaviours. ACM Press (2013), 753.
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Kandel, E. and Lazear, E.P. Peer pressure and partnerships. Journal of political Economy, (1992), 801--817.
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Niforatos, E., Campos, P., Vourvopoulos, A., Doria, A., and Langheinrich, M. Atmos: a hybrid crowdsourcing approach to weather estimation. ACM Press (2014), 135--138.
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Schwarz, O. Subjectual visibility and the negotiated panopticon: on the visibilityeconomy of Online Digital Photography. 2011.

Cited By

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  • (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
  • (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
  • (2016)WeatherUSI: User-Based Weather Crowdsourcing on Public DisplaysWeb Engineering10.1007/978-3-319-38791-8_50(567-570)Online publication date: 25-May-2016
  • Show More Cited By

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  1. WeatherUSI: Crowdsourcing Weather Experience on Public Displays

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    Published In

    cover image ACM Conferences
    PerDis '15: Proceedings of the 4th International Symposium on Pervasive Displays
    June 2015
    268 pages
    ISBN:9781450336086
    DOI:10.1145/2757710
    • General Chairs:
    • Sven Gehring,
    • Antonio Krüger,
    • Program Chairs:
    • Florian Alt,
    • Nick Taylor
    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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    New York, NY, United States

    Publication History

    Published: 10 June 2015

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    Author Tags

    1. Public displays
    2. crowd sourcing
    3. smart cities

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    • Refereed limited

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    • RECALL

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    PerDis '15 Paper Acceptance Rate 30 of 55 submissions, 55%;
    Overall Acceptance Rate 213 of 384 submissions, 55%

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    Cited By

    View all
    • (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
    • (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
    • (2016)WeatherUSI: User-Based Weather Crowdsourcing on Public DisplaysWeb Engineering10.1007/978-3-319-38791-8_50(567-570)Online publication date: 25-May-2016
    • (2015)Weather with youProceedings of the 14th International Conference on Mobile and Ubiquitous Multimedia10.1145/2836041.2836056(152-162)Online publication date: 30-Nov-2015

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