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Cs Portal > List of citizen science projects > Crowd Sourcing Data Collection through Amazon Mechanical Turk - (2013/11/06)

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IDENTIFICATION

Unknown access page

* Infrastructure: Amazon mechanical turk
* Developed with:

Start date : 2011/09/01

* Beta start date : N/A
* End date : The project was closed on 2013/09/01

Subject

* Engineering and technology > (other)

* Others in the same subject areas: CS4CS, ESP game, GeoTag-X, ReCaptcha... further results

* Others projects about other: CS4CS, ESP game, ReCaptcha, Transcribe Bentham

⇳ 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 [[Has project purpose::According to 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 Pierce & Fung, 2013 report.]] ? Research question unknown

TEAM

MAIN TEAM LOCATION

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Project team page Leader: Institution: Partner institutions: Contact:

USER TASKS

CONTRIBUTION TYPE: data collection
PARTICIPATION TYPOLOGY: crowdsourcing

GAMING GENRE NONE
GAMING ELEMENTS: NONE

COMPUTING

THINKING

SENSING

SOME
WHAT

GAMING

◉ Tasks description [[Has participant 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]] ⤯ Interaction with objects

▣ Interface

* Data type to manipulate: pictures, text

* interface enjoyment: somewhat cool/attractive

* Interface usability: rather easy to use

GUIDANCE

GUIDANCE

* Tutorial: Somewhat
* Peer to peer guidance: Somewhat
* Training sequence: Somewhat

FEEDBACK ON

* Individual performance: Somewhat
* Collective performance: Somewhat
* Research progress: Somewhat

❂ Feedback and guidance description

COMMUNITY

COMMUNITY TOOLS

* Communication:

* Social Network: N/A
* Member profiles:: N/A
* Member profile elements:

NEWS & EVENTS

* Main news site:
* Frequency of project news updates: N/A
* Type of events:
* Frequency of events :

⏣ Community description

* Community size (volounteers based)
* Role:
* Interaction form:
* Has official community manager(s): N/A
* Has team work N/A
* Other:
* Community led additions: 2013/09/01

Other information

#### PROJECT[edit source]

Url:N/A
Start date: 2011/09/01
End date: 2013/09/01
Infrastructure: Amazon mechanical turk

#### TEAM[edit source]

Official team page:
Leader:

## PROJECT DEFINITION[edit source]

* * *

### Subject[edit source]

Engineering and technology > (other)

### Description[edit source]

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.[edit source]

According to 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 Pierce & Fung, 2013 report.

### Research question.[edit source]

unknown

## ABOUT PARTICIPANT TASKS[edit source]

* * *

### Tasks description.[edit source]

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

### .[edit source]

Grey typology | Participation typology | Contribution type:

|
|

Computing: | NO | Thinking: | YES
Sensing: | Somewhat | Gaming: | NO
| Crowdsourcing | ☑ | Distributed intelligence | ☐

|
|
|

Participatory science | ☐ | Extreme citizen science | ☐
Science outreach | ☐ | |
| Data collection | ☑

|

Data analysis | ☐
Data interpretation | ☐\

--
Gaming
Genre: | Gaming elements: other
Interface
Data type to manipulate: pictures, text | interface enjoyment: somewhat cool/attractive
Interface usability: rather easy to use | Member profiles::N/A
Member profile elements:

## ABOUT GUIDANCE AND FEEDBACK[edit source]

* * *

Guidance | Feedback on

|

| Tutorial and documentation: | SOMEWHAT

|

Training sequence: | SOMEWHAT
Peer to peer guidance: | SOMEWHAT
| individual performance: | Somewhat

|

collective performance: | Somewhat
research progress: | Somewhat

### .[edit source]

## COMMUNITY[edit source]

* * *

Tools | News & Events

|

Communication:
Social Network: N/A

Main news site:
Frequency of project news updates: N/A
Type of events:
Frequency of events :

Community description

Community size (volounteers based):
Role: Interaction form:
Has official community manager(s): N/A
Has team work N/A

Other information about community:
Community led additions: 2013/09/01

## OTHER PROJECT INFORMATION[edit source]

* * *

No [[has completion level::Low]

Engineering and technology other [[Has project purpose::According to 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 Pierce & Fung, 2013 report.]] unknown USA Crowd Sourcing Data Collection through Amazon Mechanical Turk [[Has participant 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]] data collection Revenue crowdsourcing pictures, text, other: Thinking: yes Computing: no Sensing: somewhat Gaming: no other

somewhat cool/attractive rather easy to use N/A N/A N/A N/A N/A N/A

N/A

N/A

N/A

N/A

N/A

Low

Bibliography

BIBLIOGRAPHY