Title
Help Me!: Valuing and Visualizing Participatory Sensing Tasks with Physical Sensors
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.
Year
DOI
Venue
2014
10.1145/2637064.2637095
IWWISS
Keywords
Field
DocType
algorithms,design,experimentation,human factors,integrated sensing architecture,mobile sensing,participatory sensing,sensor networks,types of systems,user-centered design,valuing information,visualization of information,xmpp
Mobile sensing,Simulation,Queue,Mobile device,Human–computer interaction,Integrated architecture,Engineering,Participatory sensing,Wireless sensor network,Perception,Traffic conditions
Conference
Citations 
PageRank 
References 
1
0.35
9
Authors
5
Name
Order
Citations
PageRank
Mina Sakamura142.24
Takuro Yonezawa28422.34
Jin Nakazawa322848.11
Kazunori Takashio48316.52
Hideyuki Tokuda51489251.40