Context Weaver: Awareness and feedback in networked mobile crowdsourcing tools

Tomoyo Sasao, Shinichi Konomi, Masatoshi Arikawa, Hideyuki Fujita

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

Mobile crowdsourcing allows people to collect data using a large pool of participants. In this paper, we focus on mobile crowdsourcing for citizens to solve local issues in context. We argue that such crowdsourcing environments need to support exploration, a continuous, opportunistic, and multi-perspective process that existing crowd sensing systems cannot easily support. We have developed a system called Context Weaver, which connects participants using networked mobile devices in order to support collaborative exploration, and conducted field trials to understand the effect of networking participants in the crowdsourced data-collection activities that encompass planning, execution, and analysis phases. We discuss a methodology for exploratory mobile crowdsourcing by citizens based on the provision of mutual awareness and rapid feedback in context. The proposed methodology can provide a basis for a model of networked mobile crowdsourcing which can exploit not only the man-power but also the creativity of citizens to gather relevant data.

Original languageEnglish
Pages (from-to)74-84
Number of pages11
JournalComputer Networks
Volume90
DOIs
Publication statusPublished - Oct 29 2015

Fingerprint

Mobile devices
Feedback
Planning

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

Cite this

Context Weaver : Awareness and feedback in networked mobile crowdsourcing tools. / Sasao, Tomoyo; Konomi, Shinichi; Arikawa, Masatoshi; Fujita, Hideyuki.

In: Computer Networks, Vol. 90, 29.10.2015, p. 74-84.

Research output: Contribution to journalArticle

Sasao, Tomoyo ; Konomi, Shinichi ; Arikawa, Masatoshi ; Fujita, Hideyuki. / Context Weaver : Awareness and feedback in networked mobile crowdsourcing tools. In: Computer Networks. 2015 ; Vol. 90. pp. 74-84.
@article{355e3473fdc14a2e8903253606f391c3,
title = "Context Weaver: Awareness and feedback in networked mobile crowdsourcing tools",
abstract = "Mobile crowdsourcing allows people to collect data using a large pool of participants. In this paper, we focus on mobile crowdsourcing for citizens to solve local issues in context. We argue that such crowdsourcing environments need to support exploration, a continuous, opportunistic, and multi-perspective process that existing crowd sensing systems cannot easily support. We have developed a system called Context Weaver, which connects participants using networked mobile devices in order to support collaborative exploration, and conducted field trials to understand the effect of networking participants in the crowdsourced data-collection activities that encompass planning, execution, and analysis phases. We discuss a methodology for exploratory mobile crowdsourcing by citizens based on the provision of mutual awareness and rapid feedback in context. The proposed methodology can provide a basis for a model of networked mobile crowdsourcing which can exploit not only the man-power but also the creativity of citizens to gather relevant data.",
author = "Tomoyo Sasao and Shinichi Konomi and Masatoshi Arikawa and Hideyuki Fujita",
year = "2015",
month = "10",
day = "29",
doi = "10.1016/j.comnet.2015.05.022",
language = "English",
volume = "90",
pages = "74--84",
journal = "Computer Networks",
issn = "1389-1286",
publisher = "Elsevier",

}

TY - JOUR

T1 - Context Weaver

T2 - Awareness and feedback in networked mobile crowdsourcing tools

AU - Sasao, Tomoyo

AU - Konomi, Shinichi

AU - Arikawa, Masatoshi

AU - Fujita, Hideyuki

PY - 2015/10/29

Y1 - 2015/10/29

N2 - Mobile crowdsourcing allows people to collect data using a large pool of participants. In this paper, we focus on mobile crowdsourcing for citizens to solve local issues in context. We argue that such crowdsourcing environments need to support exploration, a continuous, opportunistic, and multi-perspective process that existing crowd sensing systems cannot easily support. We have developed a system called Context Weaver, which connects participants using networked mobile devices in order to support collaborative exploration, and conducted field trials to understand the effect of networking participants in the crowdsourced data-collection activities that encompass planning, execution, and analysis phases. We discuss a methodology for exploratory mobile crowdsourcing by citizens based on the provision of mutual awareness and rapid feedback in context. The proposed methodology can provide a basis for a model of networked mobile crowdsourcing which can exploit not only the man-power but also the creativity of citizens to gather relevant data.

AB - Mobile crowdsourcing allows people to collect data using a large pool of participants. In this paper, we focus on mobile crowdsourcing for citizens to solve local issues in context. We argue that such crowdsourcing environments need to support exploration, a continuous, opportunistic, and multi-perspective process that existing crowd sensing systems cannot easily support. We have developed a system called Context Weaver, which connects participants using networked mobile devices in order to support collaborative exploration, and conducted field trials to understand the effect of networking participants in the crowdsourced data-collection activities that encompass planning, execution, and analysis phases. We discuss a methodology for exploratory mobile crowdsourcing by citizens based on the provision of mutual awareness and rapid feedback in context. The proposed methodology can provide a basis for a model of networked mobile crowdsourcing which can exploit not only the man-power but also the creativity of citizens to gather relevant data.

UR - http://www.scopus.com/inward/record.url?scp=84945434970&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84945434970&partnerID=8YFLogxK

U2 - 10.1016/j.comnet.2015.05.022

DO - 10.1016/j.comnet.2015.05.022

M3 - Article

AN - SCOPUS:84945434970

VL - 90

SP - 74

EP - 84

JO - Computer Networks

JF - Computer Networks

SN - 1389-1286

ER -