WeatherUSI: User-Based Weather Crowdsourcing on Public Displays

  • Evangelos Niforatos
  • Ivan Elhart
  • Marc Langheinrich
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9671)

Abstract

Contemporary public display systems hold a significant potential to contribute to in situ crowdsourcing. Recently, public display systems have surpassed their traditional role as static content projection hotspots by supporting interactivity and hosting applications that increase overall perceived user utility. As such, we developed WeatherUSI, a web-based interactive public display application that enables passers-by to input subjective information about current and future weather conditions. In this demo paper, we present the functionality of the app, describe the underlying system infrastructure and present how we combine input streams originating from WeatherUSI app on a public display together with its mobile app counterparts for facilitating user based weather crowdsourcing.

References

  1. 1.
    Elhart, I., Langheinrich, M., Memarovic, N., Heikkinen, T.: Scheduling interactive and concurrently running applications in pervasive display networks. In: The International Symposium on Pervasive Displays. ACM (2014)Google Scholar
  2. 2.
    Goncalves, J., Ferreira, D., Hosio, S., et al.: Crowdsourcing on the spot: altruistic use of public displays, feasibility, performance, and behaviours, p. 753. ACM Press (2013). doi:10.1145/2493432.2493481
  3. 3.
    Niforatos, E., Fouad, A., Ivan, E., Langheinrich, M.: WeatherUSI: crowdsourcing weather experience on public displays. In: The 4th ACM International Symposium on Pervasive Displays. ACM (2015)Google Scholar
  4. 4.
    Niforatos, E., Vourvopoulos, A., Langheinrich, M.: Weather with you: evaluating report reliability in weather crowdsourcing. In: The 14th International Conference on Mobile and Ubiquitous Multimedia (MUM 2015), pp. 152–162. ACM Press (2015). doi:10.1145/2836041.2836056
  5. 5.
    Niforatos, E., Vourvopoulos, A., Langheinrich, M., Campos, P., Doria, A.: Atmos: a hybrid crowdsourcing approach to weather estimation (poster abstract). In: Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication, pp. 135–138. ACM (2014). doi:10.1145/2638728.2638780

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Evangelos Niforatos
    • 1
  • Ivan Elhart
    • 1
  • Marc Langheinrich
    • 1
  1. 1.Università della Svizzera italianaLuganoSwitzerland

Personalised recommendations