Help me! Valuing and visualizing participatory sensing tasks with physical sensors

Mina Sakamura, Takuro Yonezawa, Jin Nakazawa, Kazunori Takashio, Hideyuki Tokuda

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Recent progress of mobile devices such as smartphones enables human to leverage their perception ability as a part of sensing framework. This sensing framework, so called participatory sensing, distributes various sensing tasks (e.g., whether report, waiting time in a queue, traffic conditions etc.) to possible participants. Then, participants can select and achieve the sensing tasks. However, in the coming future with the rapid growth of participatory sensing and increasing number of sensing tasks, it must be very hard for users to choose appropriate sensing tasks around them. To solve this problem, we propose a system called Help Me!, which can value and visualize importance of sensing tasks by quantifying them in cooperation with physical sensors. Since Help Me! system provides objective index for sensing tasks, it enhances opportunity for users to participate to sensing tasks. We designed and implemented Help Me! system as an integrated architecture of physical sensors and participatory sensors. Through initial in-lab experiment, we confirmed that Help Me! system can enhance opportunity to participate to sensing tasks for users.

Original languageEnglish
Title of host publicationIWWISS 2014 - International Workshop on Web Intelligence and Smart Sensing
PublisherAssociation for Computing Machinery
ISBN (Print)9781450327473
DOIs
Publication statusPublished - 2014 Jan 1
Event2014 International Workshop on Web Intelligence and Smart Sensing, IWWISS 2014 - Saint Etienne, France
Duration: 2014 Sep 12014 Sep 2

Publication series

NameACM International Conference Proceeding Series

Other

Other2014 International Workshop on Web Intelligence and Smart Sensing, IWWISS 2014
CountryFrance
CitySaint Etienne
Period14/9/114/9/2

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Keywords

  • Participatory sensing
  • XMPP
  • integrated sensing architecture
  • mobile sensing
  • sensor networks
  • valuing information
  • visualization of information

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

Cite this

Sakamura, M., Yonezawa, T., Nakazawa, J., Takashio, K., & Tokuda, H. (2014). Help me! Valuing and visualizing participatory sensing tasks with physical sensors. In IWWISS 2014 - International Workshop on Web Intelligence and Smart Sensing (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/2637064.2637095