Edit Citizen science project: ARL crowd sourcing

You do not have permission to edit this page, for the following reason:

The action you have requested is limited to users in the group: Users.

Project information
Project name
Project access URL
Screenshot	Upload file
Infrastructure (platform)
Using software	Amazon mechanical turk API BOINC client software BOINC server software CartoDB Citizen science custom software EpiCollect mobile app EveryAware Platform MediaWiki software Pybossa Sapelli Suite Semantic Forms extension
Dates Leave the end date open if the project is still alive	Start: End: Is open: Beta start:
OECD Subject Areas According to the OCDE FOS 2007 classification	Humanities Natural sciences Engineering and technology Medical and health sciences Agricultural sciences Social sciences
Typical Subject Areas Most popular citizen science areas as found in citizen science portals	nature/conservation environment/climate geography/urbanism history/archeology biology/medicine/neuroscience physics space N/A other
Fields of science Enter a list of fields, separated by commas:
Project description:	Crowdsourcing is an increasingly popular technique used to complete complex tasks or collect large amounts of data. This report documents the effort to employ crowdsourcing using the Mechanical Turk service hosted by Amazon. The task was to collect labeling data on several thousands of short videos clips as such labels would be perceived by a human. The approach proved to be viable, collecting large amounts of data in a relatively short time frame, but required specific considerations for the population of workers and impersonal medium through which data were collected.
Purpose of project:	According to [http://www.arl.army.mil/arlreports/2013/ARL-MR-0848.pdf Pierce & Fung] (2013), The goal of this project is to generate a large number of video vignettes meant to visually demonstrate specific verbs. The project called for 48 verbs to be demonstrated,each in 10 different exemplars. Each exemplar was filmed with 16 different setting variations, consisting of different backgrounds, camera angle, time of day,etc. This produces a total of 7680 vignettes. The vignettes are to be data points provided to system design teams as part of a larger research and development project This project included 6 variants (sub-projects) described in the [http://www.arl.army.mil/arlreports/2013/ARL-MR-0848.pdf Pierce & Fung, 2013] report.
Research questions:	unknown
Geographic location of activities:

About Team
Project team leader
Institution of the main team
Partner institutions Enter a list of partners, separated by commas.
Project team link
Official contact person
Contact url
Location of the (main) team Enter address, e.g. Street, City, Country

Participant tasks and interfaces
Task description	'''Recognition Task: Crowdsourced Study subproject''' For each task, also known as a stimulus, a vignette was displayed along with a verb question (“Do you see [verb] ?”) and the verb definition. Workers responded to a single verb question with a present/absent judgment
Participant retributions	Revenue
Haklay typology of participation
Grey typology	Volonteer computing: no yes somewhat Volonteer thinking: no yes somewhat Volonteer sensing: no yes somewhat Volonteer gaming: no yes somewhat
Data types to manipulate	text pictures sound simulation 3D manipulation observations none - N/A other :
Contribution type	data analysis data collection data interpretation
Gaming elements	achievements reward batches points score boards challenges other
Gaming genre:
Interaction with objectsPlease describe in some detail how participants interact with the system while performing citizen science task
Interface fun/enjoyment	None/unknown cool/attractive somewhat cool/attractive rather not cool/attractive not cool/attractive
Interface usability	None/unknown easy to use rather easy to use somewhat difficult to use difficult to use tool or download broken

Guidance
Guidance	Tutorials: no N/A yes somewhat Peer to peer guidance: no yes somewhat N/A Training sequence: no strong weak N/A
Feedback on	Individual performance: no yes somewhat N/A Collective performance: no yes somewhat N/A Research progress: no yes somewhat N/A
Description of guidance and feedback

Community
Member profiles	no N/A detailed minimal
Member profile elements	photo personal interests pseudo badges activity metrics other
Community tools	website blog newsletter forum chat wiki other
Community size (volounteers based)
Has one or more official community managers	no yes maybe N/A
Frequency of project news updates	None/unknown N/A daily several/week weekly less than weekly
Project main news site Pick the URL that announces most information about the project, typically a blog page
Project social software sites	N/A Twitter Facebook Linkedin other
Event types	MeetUps Hack Days Social events other
Frequency of events per year
Community description (other)
Community roles
Community interaction forms:
Team work	N/A yes no
Community awareness tools
Community led additions

Page completion: estimate the level of completeness of information for this project

Free text: Please add any other useful information below ! Including tutorials...

Bibliography: Author: insert name or list of names seprarated by commas.<br>Title: title of the article, book, page or chapter...<br>Complete reference: write or copy/paste bibliography reference (any standard).<br>Url: a link or list of link seperated by commas.<br>additional information: comments, additional link, wiki code.

References

Author(s):		Year of publication:
Title:
Complete reference:
Url(s):
Type of publication:	Research article Conference papers Book Chapter of a book thesis Newspaper Personal website Blog Forum other
Additional information:

Add another

Summary:

This is a minor edit

Watch this page

Cancel

Edit Citizen science project: ARL crowd sourcing

Navigation menu

Slow Search