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Workshop satellite of LREC 2008: CORPORA FOR RESEARCH ON EMOTION AND AFFECT

Workshop Details
Papers may raise one or more of the following questions. What kind of theory of emotion is needed to guide the area? What are appropriate sources? Which modalities should be considered, in which combinations? What are the realistic constraints on recording quality? How can the emotional content of episodes be described within a corpus? Which emotion-related features should a corpus describe, and how? How should access to corpora be provided? What level of standardization is appropriate? How can quality be assessed? Ethical issues in database development and access.
26 May 2008 - 26 May 2008   Marrakech (Marocco)
Call for Papers
 
******************************************************************** 
Second call for Papers 

Second International Workshop on EMOTION (satellite of LREC): 

CORPORA FOR RESEARCH ON EMOTION AND AFFECT 

Monday, 26 May 2008 Palais des Congres Mansour Eddahbi in Marrakech 
(Morocco) 

In Association with 

6th INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION 

LREC2008 http://www.lrec-conf.org/lrec2008/ 

Main Conference 28-29-30 May 2008 

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SUBMISSIONS
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The workshop will consist of paper and poster presentations.
Submitted abstracts of papers for oral and poster must consist of about
1500-2000 words. Submitted papers will be blind reviewed.

Final submissions should be 4 pages long, must be in English,
and follow the submission guidelines at LREC2008.

The preferred format is MS word or pdf. The file should be submitted via
https://www.softconf.com/LREC2008/EMOTION/submit.html


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IMPORTANT DATES
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1rt call for paper                                21 December
2nd call for paper                                29 January
Deadline for 1500-2000 words abstract submission  12 February
Notification of acceptance                        12 March
Final version of accepted paper                    4 April
Workshop full-day                                  26 May


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This decade has seen an upsurge of interest in systems that register 
emotion (in a broad sense) and react appropriately to it. Emotion 
corpora are fundamental both to developing sound conceptual analyses and 
to training these 'emotion-oriented systems' at all levels - to 
recognise user emotion, to express appropriate emotions, to anticipate 
how a user in one state might respond to a possible kind of reaction 
from the machine, etc. Corpora have only begun to grow with the area, 
and much work is needed before they provide a sound foundation. 

This workshop follows a first successful workshop on Corpora for 
research on Emotion and Affect at LREC 2006. The HUMAINE network of 
excellence(http://emotion-research.net/) has brought together several 
groups working on the development of emotional databases, the HUMAINE 
association will continue this effort and the workshop aims to broaden 
the interaction that has developed in that context. The HUMAINE 
Association portal will provide a range of services for individuals, 
such as a web presence, access to data, and an email news service; 
special interest groups will be provided with a working folder, a 
mailing list, and a discussion forum or a blog. Conferences, workshops 
and research projects in the area of emotion-oriented computing can be 
given a web presence on the portal. 

Papers are invited in the area of corpora for research on emotion and 
affect. They may raise one or more of the following questions. What kind 
of theory of emotion is needed to guide the area? What are appropriate 
sources? Which modalities should be considered, in which combinations? 
What are the realistic constraints on recording quality? How can the 
emotional content of episodes be described within a corpus? Which 
emotion-related features should a corpus describe, and how? How should 
access to corpora be provided? What level of standardisation is 
appropriate? How can quality be assessed? Ethical issues in database 
development and access. 

Description of the specific technical issues of the workshop: Many 
models of emotion are common enough to affect the way teams go about 
collecting and describing emotion-related data. Some which are familiar 
and intuitively appealing are known to be problematic, either because 
they are theoretically dated or because they do not transfer to 
practical contexts. To evaluate the resources that are already 
available, and to construct valid new corpora, research teams need some 
sense of the models that are relevant to the area. 

• What are appropriate sources? In the area of emotion, some of the 
hardest problems involve acquiring basic data. Four main types of source 
are commonly used. Their potential contributions and limitations need to 
be understood. 

• Acted: Many widely used emotion databases consist of acted 
representations of emotion (which may or may not be generated by 
actors). The method is extremely convenient, but it is known that 
systems trained on acted material may not transfer to natural emotion. 
It has to be established what kind of acted material is useful for what 
purposes. 

• Application-driven: A growing range of databases are derived from 
specific applications (eg call centres). These are ideal for some 
purposes, but access is often restricted for commercial reasons, and it 
is highly desirable to have more generic material that could underpin 
work on a wide range of applications. 

• General naturalistic: Data that is representative of everyday life is 
an attractive ideal, but very difficult to collect. Making 
special-purpose recordings of everyday life is a massive task, with the 
risk that recording changes behaviour. Several teams have used material 
from broadcasts, radio & TV (talk shows, current affairs). That raises 
issues of access, signal quality, and genuineness. 

• Induction: A natural ideal is to induce emotion of appropriate kinds 
under appropriate circumstances. Satisfying induction is an elusive 
ideal, but new techniques are gradually emerging. 

• Which modalities should be considered, in which combinations? Emotion 
is reflected in multiple channels - linguistic content, paralinguistic 
expression, facial expression, eye movement, gesture, gross body 
movement, manner of action, visceral changes (heart rate, etc), brain 
states (eeg activity, etc). The obvious ideal is to cover all 
simultaneously, but that is impractical - and it is not clear how often 
all the channels are actually active. The community needs to clarify the 
relative usefulness of the channels, and of strategies for sampling 
combinations. 

• What are the realistic constraints on recording quality? Naturalism 
tends to be at odds with ease of signal processing. Understanding of the 
relevant tradeoffs needs to be reached. That includes awareness of 
different applications (high quality may not be crucial for defining the 
expressive behaviours a virtual agent should show) and of timescale for 
solving particular signal processing issues(eg recovering features from 
images of heads in arbitrary poses). 

• How can the emotional content of episodes be described within a 
corpus? Several broad approaches exist to transcribing the emotional 
content of an excerpt - using everyday emotion words; using dimensional 
descriptions rooted in psychological theory (intensity, evaluation, 
activation, power); using concepts from appraisal theory (perceived 
goal-conduciveness of a development, potential for coping, etc). These 
are being developed in specific ways driven by goals such as elegance, 
inter-rater reliability, and faithfulness to the subtlety of everyday 
emotion, relevance to agent decisions, etc. There seems to be a real 
prospect of achieving an agreed synthesis of the main schemes. 

• Which emotion-related features should a corpus describe, and how? 
Corresponding to each emotion-related channel is one or more sets of 
signs relevant to conveying emotion. For instance, paralinguistic signs 
exist at the level of basic features - F0, intensity, formant-related 
properties, and so on; at the level of linguistic features of prosody ; 
and at more global levels (tune shapes, repetitions, etc). Even for 
speech, inventories of relevant signs need to be developed, and for 
channels such as idle body movements, few descriptive systems have been 
proposed. Few teams have the expertise to annotate many types of sign 
competently, and so it is important to establish ways of allowing teams 
that do have the expertise to make their annotations available as part 
of a database. Mainly for lower level features, automatic transcription 
methods exist, and their role needs to be clarified. In particular, 
tests of their reliability are needed, and that depends on data that can 
serve as a reference. 

• How should access to corpora be provided? Practically, it is clearly 
important to find ways of establishing a sustainable and easily 
expandable multi-modal database for any sorts of emotion-related data; 
to develop tools for easily importing and exporting data; to develop 
analysis tools and application programmers’ interfaces to work on the 
stored data and meta-data; and to provide ready access to existing data 
from previous projects. Approaches to those goals need to be defined. 

• What level of standardisation is appropriate? Standardisation is 
clearly desirable in the long term, but with so many basic issues 
unresolved, it is not clear where real consensus can be achieved and 
where it is better to encourage competition among different options. 

• How can quality be assessed? It is clear that some existing corpora 
should not be used for serious research. The problem is to develop 
quality assurance procedures that can direct potential users toward 
those which can. 

• Ethical issues in database development and access Corpora that show 
people behaving emotionally are very likely to raise ethical issues - 
not simply about signed release forms, but about the impact of appearing 
in a public forum talking (for instance) about topics that distress or 
excite them. Adequate guidelines need to be developed. 

All of the questions above will be studied during the workshop and will 
contribute to the study of practical, methodological and technical 
issues central to developing emotional corpora (such as the 
methodologies to be used for emotional database creation, the coding 
schemes to be defined, the technical settings to be used for the 
collection, the selection of appropriate coders).

The organising committee:
Laurence Devillers / Jean-Claude Martin
Spoken Language Processing group/ Architectures and Models for Interaction,
LIMSI-CNRS,
BP 133, 91403 Orsay Cedex, France
 (+33) 1 69 85 80 62 /  (+33) 1 69 85 81 04 (phone)
 (+33) 1 69 85 80 88 / (+33) 1 69 85 80 88 (fax)
devil@limsi.fr / martin@limsi.fr
http://www.limsi.fr/Individu/devil/
http://www.limsi.fr/Individu/martin/

Roddy Cowie / School of Psychology
Ellen Douglas-Cowie / Dean of Arts, Humanities and Social Sciences
Queen's University, Belfast BT7 1NN, UK
+44 2890 974354 / +44 2890 975348  (phone)
+44 2890 664144 / +44 2890 ******  (fax)
http://www.psych.qub.ac.uk/staff/teaching/cowie/index.aspx
http://www.qub.ac.uk/en/staff/douglas-cowie/
r.cowie@qub.ac.uk / e.douglas-Cowie@qub.ac.uk

Anton Batliner - Lehrstuhl fuer Mustererkennung (Informatik 5)
Universitaet Erlangen-Nuernberg - Martensstrasse 3
91058 Erlangen - F.R. of Germany
Tel.: +49 9131 85 27823 - Fax.: +49 9131 303811
batliner@informatik.uni-erlangen.de
http://www5.informatik.uni-erlangen.de/Personen/batliner/


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TIME SCHEDULE AND REGISTRATION FEE
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The workshop will consist of a full-day session,
There will be time for collective discussions.
For this full-day Workshop, the registration fee will be specified
on http://www.lrec-conf.org/lrec2008/


Deadline:  12 February 2008

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