NDLI: Crowds, citizens and sensors: process and practice for mobilising learning

Content Provider	Springer Nature Link
Author	Sprake, Juliet Rogers, Peter
Copyright Year	2013
Abstract	Participatory sensing is an emerging field in which citizens are empowered by technologies to monitor their own environments. Harvesting and analysing data gathered in response to personal or local enquiries can be seen as an antidote to information provided by official sources. Democratising sensing means that ordinary people can learn about and understand the world around them better and can be a part of the decision-making in improving environments for all. In this paper, we review and describe participatory sensing and discuss this in relation to making a series of prototype tools and applications for mobile users—Located Lexicon, Where’s Fenton? and Tall Buildings. In the first of these projects, Located Lexicon, we wanted to find out whether a lexicon of terms derived from user-generated content could enable the formation of Twitter like groups that allow users to engage in finding out more about their location. In the second project, Where’s Fenton? we made a publicly available app that involves users in counting the abundance and logging the location of deer in a park. This project focused specifically on anonymity of the user in collecting data for a specific enquiry. In the last project, Tall Buildings, we experimented with using dimensions of altitude, distance and speed to encourage users to physically explore a city from its rooftops. In all of these projects, we experiment with the pedestrian as a human sensor and the methods and roles they may engage in to make new discoveries. The underlying premise for our work is that it is not possible to calibrate people to be identical, so experimenting with crowd-sourced data opens up thinking about the way we observe and learn about the physical environment.
Starting Page	753
Ending Page	764
Page Count	12
File Format	PDF
ISSN	16174909
Journal	Personal Technologies
Volume Number	18
Issue Number	3
e-ISSN	16174917
Language	English
Publisher	Springer London
Publisher Date	2013-09-15
Publisher Place	London
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Crowd sourcing Citizen Location-based learning Participatory sensing User Interfaces and Human Computer Interaction Computer Science Personal Computing
Content Type	Text
Resource Type	Article
Subject	Management Science and Operations Research Library and Information Sciences Computer Science Applications Hardware and Architecture

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Comprehensive tempo-spatial data collection in crowd sensing using a heterogeneous sensing vehicle selection method

RFID-based location-sensing system for safety management

Urban area characterization based on crowd behavioral lifelogs over Twitter

Applying geocaching principles to site-based citizen science and eliciting reactions via a technology probe

PicPick: a generic data selection framework for mobile crowd photography

Understanding mass participatory pervasive computing systems for environmental campaigns

Counter-strike: accurate and robust identification of low-level radiation sources with crowd-sensing networks

Community Similarity Networks

A survey of computational location privacy

Crowds, citizens and sensors: process and practice for mobilising learning

Similar Documents

Comprehensive tempo-spatial data collection in crowd sensing using a heterogeneous sensing vehicle selection method

RFID-based location-sensing system for safety management

Urban area characterization based on crowd behavioral lifelogs over Twitter

Applying geocaching principles to site-based citizen science and eliciting reactions via a technology probe

PicPick: a generic data selection framework for mobile crowd photography

Understanding mass participatory pervasive computing systems for environmental campaigns

Counter-strike: accurate and robust identification of low-level radiation sources with crowd-sensing networks

Community Similarity Networks

A survey of computational location privacy

Crowds, citizens and sensors: process and practice for mobilising learning