Faces

From MPDLMediaWiki
Jump to: navigation, search
FACES
Scope · Functionalities
Disclaimer and Copyright
Support
Application Profiles
Release Agreement
Specification:
Browse and Display · Search
Albums · Users
Note Pads · Versioning
Related Projects:
Imeji
edit

Aim

The main focus of the project – next to the integration of FACES as an online open source solution in the eSciDocEnhanced Scientific Documentation architecture – would be to add new attributes to single pictures in form of standardized metadata (e.g METS) and to implement a user management for different usage rights. Therefore, the application has to be flexible to integrate further data like the outcome of the rating study.


Summary

FACES is a lifespan digital collection of adult emotional facial stimuli. It contains two sets of images of naturalistic faces of 171 women and men displaying each of 6 facial expressions: neutrality, sadness, disgust, fear, anger, and happiness. The specialty of this collection is that it comprises pictures of persons of three different age groups: young (n=58), middle-aged (n=56), and older (n=57).
To save the personal rights of the depicted persons, the pictures of FACES are only available to researchers on a case by case basis (e.g. person by person, study by study).

FACES can be found here.


Faces.jpg


Functionalities

  • Picture search based on the available attributes (currently IDIdentifier, age group, gender, facial expression and picture set)
  • Detailed view of single pictures (and navigation within the pictures) and their attributes
  • Creation and export of public and private subsets for the analysis of special research questions
  • Management of an unlimited quantity of attributes per picture (e.g. adding new attributes based on the output of rating studies)
  • User and rights management to realize different access rights


Rating Study
Currently, the MPIMax-Planck-Institut is working on a Normstudy for comparing their expert opinion about how an emotion has to look like with the opinion of layman. The results of this study, about 130 grouped values per picture, should be integrated in FACES.

Benefits for the Researcher

  • Simple access from everywhere to the research materials through the internet
  • Long term archiving of the research materials
  • Persistent referencing of the collection and its subsets within publications
  • Improved visibility of the institute and its research data
  • Re-use of the primary data for complementary studies (rating study) or other interdisciplinary research questions

Partners

FACES is a collaboration of the MPDLMax Planck Digital Library with the Max Planck Institute for Human Development,Center for Lifespan Psychology, Berlin, Germany.
The project coordination is organized by Ursula Flitner, head of the institute’s library.
The content of FACES was collected between 2005 and 2007 by Ulman Lindenberger, Natalie Ebner and Michaela Riediger.
The content model of the FACES software design was influenced by the predecessor database developed at the institute by Matthias Bindernagel & Natalie Ebner.

Re-Use of FACES

The FACES software enables to maintain collections of pictures which are usually enriched by attributes or metadata.

FACES provides a basic user management to control the access to the pictures, to enable the creation of subsets of the collection, to support the sharing of such subsets with selected users and to afford the publishing of subsets by a simple workflow.

Access to Faces

Please see and fill out the Release Agreement.

Support

See Faces Support!
http://colab.mpdl.mpg.de/mediawiki/Faces
colab.mpdl.mpg.de
crawl=CC-MAIN-2017-09
25154
application/http; msgtype=response
sha1:E3XVWLNZI2OVZSDNLSDP3ZYZ66DXTNZ4
<urn:uuid:f902a089-6dea-43d2-beee-80e7ace83dad>
2017-02-20T20:04:56Z
134.76.28.103
sha1:XM7XE4ST6BRL5TSSAJVPLJXK7JKKG5QE
<urn:uuid:b2df9f4f-5569-4fb8-92c0-f3aee13d9aaa>
http://colab.mpdl.mpg.de/mediawiki/Faces
length
response
<urn:uuid:9e0d1631-e2f9-4131-9a24-f7ca2b92f7d0>
robots: classic
hostname: ip-10-171-10-108.ec2.internal
software: Nutch 1.6 (CC)/CC WarcExport 1.0
isPartOf: CC-MAIN-2017-09
operator: CommonCrawl Admin
description: Wide crawl of the web for February 2017
publisher: CommonCrawl
format: WARC File Format 1.0
conformsTo: http://bibnum.bnf.fr/WARC/WARC_ISO_28500_version1_latestdraft.pdf