Appel: Workshop on Emotion at LREC 2006
Thierry Hamon
thierry.hamon at LIPN.UNIV-PARIS13.FR
Thu Dec 22 17:15:05 UTC 2005
Date: Wed, 21 Dec 2005 08:53:48 +0100 (CET)
From: devil at limsi.fr
Message-ID: <1215.82.226.167.38.1135151628.squirrel at vinci.limsi.fr>
X-url: http://www.lrec-conf.org/lrec2006/
X-url: http://emotion-research.net/
X-url: http://www.chi2006.org/docs/chi2006pubsformat.doc
X-url: http://www.lrec-conf.org/lrec2006/
X-url: http://www.limsi.fr/Individu/devil/
X-url: http://www.limsi.fr/Individu/martin/
X-url: http://www.psych.qub.ac.uk/staff/teaching/cowie/index.aspx
X-url: http://www.qub.ac.uk/en/staff/douglas-cowie/
X-url: http://www5.informatik.uni-erlangen.de/Personen/batliner/
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First Call For Papers
International Workshop on EMOTION:
CORPORA FOR RESEARCH ON EMOTION AND AFFECT
23 May 2006
half day workshop: afternoon session
In Association with
5th INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION
LREC2006 http://www.lrec-conf.org/lrec2006/
Main Conference
24-25-26 May 2006
Magazzini del Cotone Conference Center
Genoa - Italy
******************************************************************
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Summary of the call for participation
------------------------------------------------
Papers are invited in the area of corpora for research on emotion and
affect. They may cover one or more of the following topics. 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.The organisers of this workshop proposal are
members of the Humaine NoE, and have a main role in its databases WP.
They will be able to reach researchers in databases of emotions both
through the resulting contacts and through the HUMAINE portal.
--------------------
MOTIVATIONS
--------------------
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.
The HUMAINE network of excellence (http://emotion-research.net/) has
brought together several groups working on the development of
databases, and the workshop aims to broaden the interaction that has
developed in that context.
Papers are expected to address some of the following areas of concern.
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, 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 contours - F0, intensity,
formant-related properties, and so on; at the level of linguistic
features of prosody (such as 'tones and breaks' in TOBI); 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).
Papers are invited in the area of corpora for research on emotion and
affect. They may cover one or more of the following topics. 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
The organisers of this workshop proposal are members of the Humaine NoE,
and have a main role in its databases WP. They will be able to reach
researchers in databases of emotions both through the resulting contacts
and through the HUMAINE portal.
-------------------------
IMPORTANT DATES
-------------------------
1rt call for paper 16 December
2nd call for paper 3 January
Deadline for 1000 words abstract submission 17 February
Notification of acceptance 10 March
Final version of accepted paper 10 April
Workshop half-day 23 May
--------------
SUBMISSIONS
---------------
The workshop will consist of paper and poster presentations.
Final submissions should be 4 pages long, must be in English,
and follow the submission guidelines at
http://www.chi2006.org/docs/chi2006pubsformat.doc
The preferred format is MS word.
The .doc file should be submitted via email
to lrec-emotion at limsi.fr
---------------------
As soon as possible, authors are encouraged to send to
lrec-emotion at limsi.fr
a brief email indicating their intention to participate,
including their contact information and the topic they
intend to address in their submissions.
Proceedings of the workshop will be printed by the LREC
Local Organising Committee.
Submitted papers will be blind reviewed.
--------------------------------------------------
TIME SCHEDULE AND REGISTRATION FEE
--------------------------------------------------
The workshop will consist of an afternoon session,
There will be time for collective discussions.
For this half-day Workshop, the registration fee will
be specified on http://www.lrec-conf.org/lrec2006/
---------------------------
THE ORGANISING COMMITTEE
----------------------------
Laurence Devillers / Jean-Claude Martin
Spoken Language Processing group, 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 at limsi.fr / martin at 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 at qub.ac.uk / e.douglas-Cowie at 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 at informatik.uni-erlangen.de
http://www5.informatik.uni-erlangen.de/Personen/batliner/
----------------------------------
PROGRAM COMMITTEE
----------------------------------
Roddy Cowie, QUB, UK
Ellen Douglas-Cowie, QUB, UK
Laurence Devillers, LIMSI-CNRS, FR
Jean-Claude Martin, LIMSI-CNRS, FR
Anton Batliner, Univ. Erlangen, D
Nick Campbell, ATR, J
Elisabeth André, Univ. Augsburg, D
Stephanos Kollias, ICCS, G
Marc Schröder, DFKI Saarbrücken, D
Catherine Pelachaud, Univ. Paris VIII, FR
Elisabeth Shriberg, SRI and ICSI, USA
Izhak Shafran, Univ. Johns Hopkins, CSLP, USA
Ioana Vasilescu, ENST, FR
Fiorella de Rosis, Univ. Bari, I
Isabella Poggi, Univ. Roma Tre, I
Nadia Bianchi-Berthouze, Univ. Aizu, J
Susanne Kaiser, UNIGE, S
Valérie Maffiolo, FranceTelecom, FR
Véronique Aubergé, CNRS-STIC, FR
Shrikanth Narayanan, USC Viterbi School of Engineering, USA
John Hansen,Univ. of Texas at Dallas, USA
Christine Lisetti, EURECOM, FR
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