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Afectividad y
Sistemas Afectivos www.fgalindosoria.com/eac/afectividad/
www.fgalindosoria.com/eac/
Fernando Galindo Soria
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libro Teoría y Práctica de los Sistemas Evolutivos
2.- Edición
Evolución y Sistemas Evolutivos, Sistemas Afectivos y
Sistemas Conscientes
Evolución y Sistemas Evolutivos Sistemas Afectivos Sistemas Conscientes
Matrices
Evolutivas y Dinámica Dimensional
Creación de la página www
Tenayuca, Ciudad de México a 27
de Mayo del 2007
Últimas actualizaciones 9 de Diciembre del 2008, 9 de Julio del
2009, 16 de Enero del 2010
ARTÍCULOS
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Sistemas Afectivos página html documento en Word documento en pdf Diapositivas documento en PowerPoint documento en pdf |
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Escrito el 28 de Septiembre del 2009 |
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sistemas afectivos afectividad, emoción, comportamiento, sentimientos, intenciones emotion
computing, affective computing, behavior, behavior computing, Feelings Emotional Computing, affective, affective music, belief-desire-intention
(BDI) model 9/10 de Junio del 2007
Número de resultados en Google de "Artificial
emotion" 10,300 “affective
computing” 162,000 “affective
system” 20,500 “affective
systems” 16,100 “affective
computing” music 44,600 “affective
computing” music "computational linguistic" 32 “affective
computing” music "Generative grammar" 20 behavior
computing 42,400,000 “emotion
computing” 105 Personality
computing 1,280,000 intentional
computing 1,040,000 Human-computer
interaction 23,200,000 ******************************************************************* IEEE
Transactions on Affective Computing http://www.computer.org/portal/web/tac Research
on Emotions and Human-Machine Interaction Artificial
emotion By Sam
Allis, Globe Columnist, 2/29/2004 boston.com News The Boston Globe http://www.boston.com/news/local/articles/2004/02/29/artificial_emotion/ The International Society of Research on Emotion
(ISRE) “affective
computing” 162,000 http://en.wikipedia.org/wiki/Affective_computing Rosalind W. Picard “Professor Rosalind W. Picard,
Sc.D. is founder and director of the Affective Computing Research Group at the Massachusetts Institute of
Technology (MIT) Media Laboratory, codirector of the Things That Think
Consortium…” http://web.media.mit.edu/~picard/ Emociones. Lo que hay que tener en consideración. Resumen de propiedades http://darwin.50webs.com/Espanol/Articu00189.htm Affective
computing Rosalind
W. Picard Year of
Publication: 1997 (FGS, Link January 2, 2010) “The
latest scientific findings indicate that emotions play an essential role in
decision making, perception, learning, and more—that is, they influence the
very mechanisms of rational thinking. Not only too much, but too little
emotion can impair decision making. According to Rosalind Picard, if we want
computers to be genuinely intelligent and to interact naturally with us, we
must give computers the ability to recognize, understand, even to have and
express emotions. http://mitpress.mit.edu/catalog/item/default.asp?ttype=2&tid=4062 http://portal.acm.org/citation.cfm?id=265013&coll=portal&dl=ACM&CFID=805871&CFTOKEN=87652701 *************************** Affective
Computing Portal Homepage
of Dr. Christoph Bartneck http://www.bartneck.de/link/affective_portal.html Computers
estimate emotions phisorg.com
Technology : January 04, 2006 http://www.physorg.com/news9565.html SSAISB
Home Page The
Society for the Study of Artificial Intelligence and Simulation of Behaviour Proceedings
of the AISB 2004 Symposium
on Emotion, Cognition, and Affective Computing http://www.aisb.org.uk/publications/proceedings/aisb04/AISB2004-Affective-proceedings.pdf Computers
estimate emotions phisorg.com Technology : January 04, 2006 http://www.physorg.com/news9565.html Computational
Emergence and Computational Emotion D.N. Davis Neural, Emergent and Agent Technologies Group,
Department of Computer Science, The University of Hull, Kingston-upon-Hull,
HU6 7RX, England (Ligado el 6/iv/2008) http://www2.dcs.hull.ac.uk/NEAT/dnd/papers/smc99.pdf Computers with
attitude “Last year a small group of scientists and entrepreneurs in Melbourne
and Singapore quietly launched a business consortium with the potential to
change the human psyche forever. They are developing, in other words, emotionally intelligent computers -
which their new company, Human Mind Innovations (HMI) Pty Ltd, will license
and commercialise.” The Cairns Post, Thursday, May 22, 2008 http://www.cairns.com.au/article/2008/05/22/4055_local-it-news.html Emotion Machine Marvin
Minsky Minsky talks
about life, love in the age of artificial intelligence Goldberg, Carey December 4, 2006 The Boston Globe bostom.com The Emotion
Machine: Commonsense Thinking, Artificial Intelligence, and the Future of the
Human Mind by Marvin Minsky Draft http://web.media.mit.edu/~minsky/ Hardcover http://www.amazon.com/exec/obidos/ISBN=0743276639/marvinminskyA/ Agents
and affective systems http://www.macs.hw.ac.uk/~ruth/agents.html ************************************************************************* An
abstract machine based on classical association psychology Richard F. Reiss May 1962 AIEE-IRE '62 (Spring): Proceedings of the May 1-3, 1962, spring joint computer conference Publisher: ACM Abstract “The
theories of classical association psychology (circa 1750-1900) attempted to
explain human thought processes in terms of certain mechanistic forces
operating on discrete entities called "sensations,"
"images," and "ideas." Although these theories ...” Full text available: Pdf ACM (1.95
MB) ************************************************************************* Talking
to strangers: an evaluation of the factors affecting electronic collaboration CSCW '96: Proceedings of the 1996 ACM conference on Computer supported
cooperative work, November 1996, Publisher: ACM “This
empirical study examines factors influencing the success of a commercial
groupware system in creating group archives and supporting asynchronous
communication. The study investigates the use of Lotus NotesTM in
a workplace setting. We interviewed 21 Notes users and
identified three factors that they thought contributed to the successful use
of Notes databases for archiving and communication. We then tested the effect
of these factors on 15,571 documents in 20 different databases. Contrary
to our users’ beliefs, we found the presence of an active database moderator
actually inhibited discussions, and reduced browsing. Further paradoxical
results were that conversations
and the creation of group archives were more successful in databases with
large numbers of diverse participants. Conversations and archiving were less
successful in smaller, more homogeneous, project teams. Database
size was also important: a large database containing huge amounts of
information was more likely to be used for further conversations and
archiving, than a small one. This result again ran counter to users’ beliefs
that small databases are superior. We discuss possible reasons for these
findings in terms of critical mass and media competition, and conclude with
implications for design.” Full text available: Pdf ACM (1.22
MB) ************************************************************************* Ontology
Based Affective Context Representation Kuderna-Iulian Benta, Anca Rarău,
Marcel Cremene EATIS '07: Proceedings of the 2007 Euro
American conference on Telematics and information systems, May 2007, Publisher: ACM
Abstract “In this paper we propose an ontology
based representation of the affective states for context aware applications
that allows expressing the complex relations that are among the affective
states and between these and the other context elements. This representation
...” Full text available: Pdf ACM (127.64
KB) ********************************************************* What would
they think?: a computational model of attitudes IUI '04: Proceedings of the 9th
international conference on Intelligent user interfaces, January 2004 Publisher: ACM Abstract “A key to improving at any task is
frequent feedback from people whose opinions we care about: our family,
friends, mentors, and the experts. However, such input is not usually
available from the right people at the time it is needed most, and attaining
...” Full text available: Pdf ACM (350.99
KB) ********************************************************* Emotional content
considered dangerous Stephen W. Smoliar, Univ.
of Pennsylvania, Philadelphia Communications of the ACM ,
Volume 17 Issue 3, Pages: 164 – 165, March 1974
Abstract “I had hoped
that Moorer's rebuttal to my short communication in the November 1972
Communications would close the debate on a topic which, like the computer
itself, has provoked an inordinately large quantity of unqualified argument.
Unfortunately, the short communications by McMorrow and Wexelblat in the May
1973 Communications lead me to believe that my position is still grossly
misunderstood. Therefore, allow me to clarify these matters.” Full text available: Pdf ACM
(199 KB) ********************************************************* An emotion model using emotional
memory and consciousness occupancy ratio Sung June
Chang, ETRI,
Yuseong-gu, Taejeon In Ho Lee, ETRI, Yuseong-gu, Taejeon ICAT;
Vol. 157 POSTER SESSION: Poster section, Pages: 272 – 272, Year of Publication: 2005 Christchurch, New Zealand Publisher ACM New York, NY, USA Abstract “This paper focuses on general emotion
model which can be used in cyber characters in VR. Our model shows the
various kinds of emotional transition whose factors are ranged from single
variable to multiple variables by emotional memory and Consciousness
Occupancy Ratio (COR). This model also shows emotional memory recall which is
an established theory in Psychology. In the last part, the simulation using a
simple interactive agent successfully displays emotional and mental
transitions similar to those of the real creature.” Full text available: Pdf ACM (923 KB) ************************************************** ******************************************************************* Fractals show machine
intentions http://www.trnmag.com/Stories/2004/061604/Fractals_show_machine_intentions_061604.html ******************************************************************* computer–human
interaction (CHI) Human-computer
interaction 23,200,000 http://en.wikipedia.org/wiki/Human-computer_interaction ******************************************************************* Computers That Understand How You Feel “A navigation
system able to provide emergency services with the quickest route while at
the same time taking stress into account; this is an example of a new type of
dialogue system developed by PhD candidate Trung Bui of the University of
Twente. His dialogue system recognizes the user’s emotions and is able to
react to them.” http://www.utwente.nl/nieuws/pers/en/cont_08-041_en.doc/ Intel Software
Accelerates Development Of Computers That 'Anticipate' The Needs Of Users Vancouver,
British Columbia, Dec. 8, 2003 http://www.intel.com/pressroom/archive/releases/20031208tech.htm?iid=HPAGE%2Blow_news_031208a& Chill Out, Your Computer Knows What's Best for You “Computers are starting to become more human-centric, anticipating your
needs and smoothly acting to meet them. Much of the progress can be
attributed to work done by European researchers” http://cordis.europa.eu/ictresults/index.cfm/section/news/tpl/article/BrowsingType/Features/ID/89804 Helping
Children Find What They Need on the Internet http://www.nytimes.com/2009/12/26/technology/internet/26kidsearch.html?_r=2 NWO Researcher Develops a 'Blacklist' of Expressions lunes, 21 de
diciembre de 2009 “List helps
computers understand expressions with more than one meaning http://www.alphagalileo.org/ViewItem.aspx?ItemId=65054&CultureCode=en ****************************************** Are
you bored?: Maybe an interface agent can help! Nilma Perera, Gregor Kennedy, Jon Pearce
OZCHI '08: Proceedings of the 20th Australasian
Conference on Computer-Human Interaction: Designing for Habitus and Habitat, December 2008 Publisher: ACM Abstract “In this paper we present the influence
of Emotive Interface Agents on task-induced boredom. We studied the effects
of two agents --- friendly and unfriendly. The results show that, like
human-human interaction, emotional contagion can happen between ...” Full text available: Pdf (514.34 KB) ******************************************************************* Non verbal Communication Comunicación no verbal Eye Robot
Aims to Crack Secret of Nonverbal Communication Japanese
robot communicates using eye movements alone. Technology
Review, Thursday, April 16, 2009 http://www.technologyreview.com/blog/arxiv/23383/ SPECIAL:
Communicating with more than words ICT
Results, April 15, 2009 “ICT is
all about communication but it has never provided the semantic richness
offered by the non-verbal cues that typically pepper face-to-face
conversation. Thanks to European researchers, that is about to change. Modern
information and communication technology provides a vast array of channels
for all types of communication: web pages, SMS, email, twitter, and the list
goes on and on. But
despite the breadth of our communication channels, what we say still lacks
the depth of face-to-face communication. That is because, so far, ICT has
failed to provide the non-verbal cues and context information that is so
important to the way we communicate. When we
talk we use non-verbal cues like facial expressions or physical movements. We
know if the people we are talking to are excited, busy, relaxed, tired,
bored, etc. In electronic communication this sort of information is missing. Surfers
have tried to fill the gap with emoticons, smiley faces or other cues that
hint at the intent of the writer around the words themselves. These cues
explain such subtle qualities as sarcasm, teasing, anger or irony – vital
contextual information for successful communication. It is a
workaround, but it hardly approaches the depth of communication we have when
face to face with someone. Now,
European researchers believe they have developed a system that could finally
add reliable context and mood information to voice and text communication.” http://cordis.europa.eu/ictresults/index.cfm?section=news&tpl=article&BrowsingType=Features&ID=90497 ******************************************************************* CMU at forefront in building thinking machines Mark Houser, Pittsburgh Tribune-Review, 06 April 2008 http://www.pittsburghlive.com/x/pittsburghtrib/news/cityregion/s_560910.html European expert
platform to address measurement of human emotions http://www.innovations-report.de/html/berichte/informationstechnologie/bericht-93837.html Virginia
Mercouri, innovations-report, 30.10.2007 Technology
tunes into our emotions Dani Cooper ABC Science Online, Wednesday, 31 October 2007 http://abc.net.au/science/news/stories/2007/2075023.htm?health Emotion-Recognition
Software Knows What Makes You Smile Nicole Martinelli WIRED 07.16.07 | 2:00 AM http://www.wired.com/science/discoveries/news/2007/07/expression_research ************************************************************************* Sistemas
afectivos, vida artificial y actores sintéticos
Artificial
life as a path from computing to philosophy Drue Coles Journal of Computing
Sciences in Colleges , Volume 24 Issue 6 Publisher: Consortium for Computing Sciences in Colleges, June 2009 Abstract “A typical undergraduate program in computer
science might make contact with the field of philosophy at several points in
courses on artificial intelligence and the theory of computation. This
article discusses another potential point of contact: artificial ...2 Full text available: Pdf ACM (61.28 KB) ********************************************************* Real-time
individualized virtual humans Nadia Magnenat-Thalmann, Daniel Thalmann
SIGGRAPH ASIA 2008 courses, December 2008 ABSTRACT “This
tutorial will present the latest techniques to model fast individualized
animatable virtual humans for Real-Time applications. As a human is composed
of a head and a body, we will analyze how these two parts can be modeled and
globally animated ...” Full text available: Pdf ACM (11.13
MB) ********************************************************* Synthetic
characters as multichannel interfaces Elena Not, Koray Balci, Fabio Pianesi, Massimo
Zancanaro ICMI '05: Proceedings of the 7th international conference on Multimodal
interfaces, October 2005 Publisher: ACM Abstract “Synthetic
characters are an effective modality to convey messages to the user, provide
visual feedback about the system internal understanding of the communication,
and engage the user in the dialogue through emotional involvement. In this
paper we argue for a fine-grain distinction of the expressive capabilities of
synthetic agents: avatars should not be considered as an indivisible modality
but as the synergic contribution of different communication channels that,
properly synchronized, generate an overall communication performance. In this
view, we propose SMIL-AGENT as a representation and scripting language for
synthetic characters, which abstracts away from the specific implementation
and context of use of the character. SMIL-AGENT has been defined starting
from SMIL 0.1 standard specification and aims at providing a high-level
standardized language for presentations by different synthetic agents within
diverse communication and application contexts.” Full text available: Pdf ACM (1.07
MB) ******************************************************************* Personality
in Computer Characters “Personality
characterizes an individual through a set of traits that influence his or her
behavior. We propose a model of personality that can be used by intelligent,
automated actors able to improvise their behavior and to interact with users
in a multimedia environment. Users themselves become actors by exercising
high-level control over their own intelligent agents. We propose different
dimensions of personality that are based on the processes that intelligent
agents usually perform. These dimensions are rich enough to allow the
specification of an interesting number of characters able to improvise and
react differently although they are put in the same context. We show the
influence that the personality traits have on an actor's behavior, moods and
relationships.” http://citeseer.ist.psu.edu/90389.html Bringing Second Life To Life: Researchers
Create Character With Reasoning Abilities of a Child Rensselaer Polytechnic Institute, Amber
Cleveland, 3 March 2008 http://news.rpi.edu/update.do?artcenterkey=2410 ************************************************************************* Affective Games / Juegos Afectivos Affective
game engines: motivation and requirements Eva Hudlicka FDG '09: Proceedings of the 4th
International Conference on Foundations of Digital Games, April 2009, Publisher: ACM Abstract “The tremendous advances in gaming
technologies over the past decade have focused primarily on the physical
realism of the game environment and game characters, and the complexity and
performance of game simulations and networking. However, current games ...” Full text available: Pdf (700.04
KB) Videojuego que opera en base a emociones. Universia, Martes 06 Junio 2006 http://www.universia.net.mx/index.php/news_user/content/view/full/38029/ Funciona Video
Juego con Emociones El Lider USA, 05 viii 2006 http://www.elliderusa.com/news.php?nid=1158 ******************************************************************* Affective Music / Música Afectiva Music and
Emotion: Theory and Research (Series in Affective Science) (Paperback) ~ Patrik N. Juslin (Editor), John A. Sloboda (Editor) " Product Description “This new volume in the Series
in Affective Science is the first book in over 40
years to tackle the complex and powerful relationship between music and
emotion. The book brings together leading researchers in both areas to
present the first integrative review of this powerful relationship. This is a
book long overdue, and one that will fascinate psychologists, musicologists,
music educators, and philosophers.” http://www.amazon.com/Music-Emotion-Research-Affective-Science/dp/0192631888 *************************** Music,
Mind and Machine MIT Media Lab http://www.media.mit.edu/research/ResearchPubWeb.pl?ID=20 The
Affective Remixer: Personalized Music Arranging http://affect.media.mit.edu/projects.php?id=2084 Generative
Model for the Creation of Musical Emotion, Meaning, and Form David
Birchfield. Arts, Media, and Engineering Program. Institute for Studies in
the Arts Arizona State University http://ame2.asu.edu/faculty/dab/research/publications/ETP03_Birchfield.pdf ********************************************************* Emotional
remapping of music to facial animation Steve DiPaola, Ali Arya July 2006 Sandbox '06: Proceedings of the 2006 ACM SIGGRAPH symposium on Videogames Publisher: ACM Abstract “We
propose a method to extract the emotional data from a piece of music and then
use that data via a remapping algorithm to automatically animate an emotional
3D face sequence. The method is based on studies of the emotional aspect of
music and our parametric-based behavioral head model for face animation. We
address the issue of affective communication remapping in general, i.e.
translation of affective content (eg. emotions, and mood) from one
communication form to another. We report on the results of our MusicFace
system, which use these techniques to automatically create emotional facial
animations from multi-instrument polyphonic music scores in MIDI format and a
remapping rule set.” Full text available: Pdf ACM (644.32
KB) ********************************************************* The
affective remixer: personalized music arranging Jae-woo Chung, G. Scott Vercoe CHI '06: CHI '06 extended abstracts on
Human factors in computing systems, April 2006, Publisher: ACM Abstract “This paper describes a real-time
music-arranging system that reacts to immediate affective cues from a
listener. Data was collected on the potential of certain musical dimensions
to elicit change in a listener's affective state using sound files created
...” Full text available: Pdf ACM (457.92
KB) ********************************************************* CAUI
demonstration: composing music based on human feelings Masayuki Numao, Shoichi Takagi, Keisuke Nakamura Department of Computer Science, Tokyo Institute of
Technology, Tokyo, Japan Eighteenth national conference on
Artificial intelligence, July 2002, Publisher: American Association for Artificial Intelligence Abstract “We demonstrate a method to locate relations and
constraints between a music score and its impressions, by which we show that
machine learning techniques may provide a powerful tool for composing music
and analyzing human feelings. We examine its generality by modifying some
arrangements to provide the subjects with a specified impression. This
demonstration introduces some user interfaces, which are capable of
predicting feelings and creating new objects based on seed structures, such
as spectra and their transition for sounds that have been extracted and are
perceived as favorable by the test subject.” PDF http://www.ai.sanken.osaka-u.ac.jp/files/Numao-caui-demo.pdf ********************************************************* A Case Based Approach to
Expressivity-Aware Tempo Transformation. Maarten Grachten, Josep-Lluís Arcos, Ramon López Mántaras Machine
Learning Volume 65, Issue 2-3 (pp. 411–437), Kluwer Academic Publishers
(Eds.) MA, USA. (December
2006) Abstract “The
research presented in this paper is focused on global tempo transformations
of music performances. We are investigating the problem of how a performance
played at a particular tempo can be rendered automatically at another tempo,
while preserving naturally sounding expressivity. Or, di_erently stated, how
does expressiveness change with global tempo.
Changing the tempo of a given melody is a problem that cannot be reduced to just
applying a uniform transformation to all the notes of a musical piece. The
expressive resources for emphasizing the musical structure of the melody and
the a_ective content di_er depending on the performance tempo. We present a
case-based reasoning system called TempoExpress and will describe the
experimental results obtained with our approach.” PDF http://digital.csic.es/bitstream/10261/2949/1/CBTempo.pdf ********************************************************* Constructive
adaptive user interfaces: composing music based on human feelings Masayuki Numao, Shoichi Takagi, Keisuke Nakamura Eighteenth national conference on
Artificial intelligence, July 2002, Publisher: American Association for Artificial Intelligence Abstract “We
propose a method to locate relations and constraints between a music score
and its impressions, by which we show that machine learning techniques may
provide a powerful tool for composing music and analyzing human feelings. We
examine its generality by modifying some arrangements to provide the subjects
with a specified impression. This paper introduces some user interfaces,
which are capable of predicting feelings and creating new objects based on
seed structures, such as spectra and their transition for sounds that have
been extracted and are perceived as favorable by the test subject.” PDF http://www.aaai.org/Papers/AAAI/2002/AAAI02-030.pdf ********************************************************* Music
compositional intelligence with an affective flavor Roberto
Legaspi, Yuya
Hashimoto, Koichi
Moriyama, Satoshi
Kurihara, Masayuki
Numao IUI '07: Proceedings of the 12th international conference on Intelligent user
interfaces, January 2007 Publisher: ACM Abstract “The consideration of human feelings in
automated music generation by intelligent music systems, albeit a compelling
theme, has received very little attention. This work aims to computationally
specify a system's music compositional intelligence that ...” Full text available: Pdf ACM (825.13
KB) ********************************************************* Modelling affective-based
music compositional intelligence with the aid of ANS analyses Toshihito Sugimoto, Roberto Legaspi, Akihiro Ota, Koichi Moriyama, Satoshi Kurihara, Masayuki Numao Knowledge-Based
Systems , Volume
21 Issue 3, April
2008 Publisher: Elsevier Science Publishers B. V. Amsterdam, The Netherlands, The Netherlands Abstract “This
research investigates the use of emotion data derived from analyzing change
in activity in the autonomic nervous system (ANS) as revealed by brainwave
production to support the creative music compositional intelligence of an
adaptive interface. A relational model of the influence of musical events on
the listener's affect is first induced using inductive logic programming
paradigms with the emotion data and musical score features as inputs of the
induction task. The components of composition such as interval and scale,
instrumentation, chord progression and melody are automatically combined
using genetic algorithm and melodic transformation heuristics that depend on
the predictive knowledge and character of the induced model. Out of the four
targeted basic emotional states, namely, stress, joy, sadness, and
relaxation, the empirical results reported here show that the system is able
to successfully compose tunes that convey one of these affective states.” ********************************************************* Generative model for the creation
of musical emotion, meaning and form. Proceedings
of the 2003 ACM SIGMM workshop on Experiential telepresence (pp. 99–104). Berkeley,
California, ACM New
York, NY, USA. Publisher ACM New York, NY, USA Abstract “The automated creation of perceptible and
compelling large-scale forms and hierarchical structures that unfold over
time is a nontrivial challenge for generative models of multimedia content.
Nonetheless, this is an important goal for multimedia authors and artists who
work in time-dependent mediums. This paper and associated demonstration
materials present a generative model for the automated composition of
music.The model draws on theories of emotion and meaning in music, and relies
on research in cognition and perception to ensure that the generated music will
be communicative and intelligible to listeners. The model employs a
coevolutionary genetic algorithm that is comprised of a population of musical
components. The evolutionary process yields musical compositions which are
realized as digital audio, a live performance work, and a musical score in
conventional notation. These works exhibit musical features which are in
accordance with aesthetic and compositional goals described in the paper.” PDF http://ame2.asu.edu/faculty/dab/research/publications/ETP03_Birchfield.pdf ********************************************************* Expression
and Its Discontents: Toward an Ecology of Musical Creation Michael Gurevich, CCRMA, Stanford University, Department of Music, Jeffrey Treviño, Center for Research in Computing and the Arts, University of
California at San Diego Abstract “We
describe the prevailing model of musical expression, which assumes a binary
formulation of “the text” and “the act,” along with its implied roles of
composer and performer. We argue that this model not only excludes some
contemporary aesthetic values but also limits the communicative ability of
new music interfaces. As an
alternative, an ecology of musical creation accounts for both a diversity of
aesthetic goals and the complex interrelation of human and non-human agents.
An ecological perspective on several approaches to musical creation with
interactive technologies reveals an expanded, more inclusive view of artistic
interaction that facilitates novel, compelling ways to use technology for
music. This paper is fundamentally a call to consider the role of aesthetic
values in the analysis of artistic processes and technologies.” Full text available: Pdf ACM (361 KB) ********************************************************* Emotional
Effects of Music: Production Rules Klaus R.
Scherer and Marcel R. Zentner Juslin,
P.N. & Sloboda, J.A. (ed.) (2001) Music and emotion: theory and research.
Oxford ; New York : Oxford University Press., CHAPTER 16 http://psy2.ucsd.edu/~charris/SchererZentner.pdf ********************************************************* Emotion
Recognition Based on Physiological Changes in Music Listening IEEE Transactions on Pattern Analysis and Machine Intelligence , Volume 30 Issue 12, December
2008 Publisher: IEEE Computer Society Abstract “This
paper investigates the potential of physiological signals as reliable
channels for emotion recognition. All essential stages of an automatic
recognition system are discussed, from the recording of a physiological
dataset to a feature-based multiclass classification. In order to collect a
physiological dataset from multiple subjects over many weeks, we used a
musical induction method which spontaneously leads subjects to real emotional
states, without any deliberate lab setting. Four-channel biosensors were used
to measure electromyogram, electrocardiogram, skin conductivity and
respiration changes. A wide range of physiological features from various
analysis domains, including time/frequency, entropy, geometric analysis,
subband spectra, multiscale entropy, etc., is proposed in order to find the
best emotion-relevant features and to correlate them with emotional states.
The best features extracted are specified in detail and their effectiveness is
proven by classification results. Classification of four musical emotions
(positive/high arousal, negative/high arousal, negative/low arousal,
positive/low arousal) is performed by using an extended linear discriminant
analysis (pLDA). Furthermore, by exploiting a dichotomic property of the 2D
emotion model, we develop a novel scheme of emotion-specific multilevel
dichotomous classification (EMDC) and compare its performance with direct
multiclass classification using the pLDA. Improved recognition accuracy of
95\% and 70\% for subject-dependent and subject-independent classification,
respectively, is achieved by using the EMDC scheme.” ********************************************************* Music emotion
recognition: the role of individuality Yi-Hsuan Yang, Ya-Fan Su, Yu-Ching Lin, Homer H. Chen HCM '07: Proceedings
of the international workshop on Human-centered multimedia, Augsburg, Bavaria, Germany, SESSION:
Session 1, Pages: 13 – 22, September 2007 Abstract “It has been realized in the music emotion recognition (MER) community
that personal difference, or individuality, has significant impact on the
success of an MER system in practice. However, no previous work has
explicitly taken individuality into consideration in an MER system. In this
paper, the group-wise MER approach (GWMER) and personalized MER approach
(PMER) are proposed to study the role of individuality. GWMER evaluates the
importance of each individual factor such as sex, personality, and music
experience, whereas PMER evaluates whether the prediction accuracy for a user
is significantly improved if the MER system is personalized for the user.
Experimental results demonstrate the effect of personalization and suggest
the need for a better representation of individuality and for better
prediction accuracy.” Full text available: Pdf ACM
(439 KB) ************************************************************************* Sistemas
afectivos y arte
Carl Hultquist, Department
of Computer Science, University of Cape Town, Cape Town, South Africa James Gain, Department of Computer Science, University of
Cape Town, Cape Town, South Africa David Cairnsz, Department
of Computing Science and Mathematics, University of Stirling, Stirling,
Scotland Afrigaph '06: Proceedings of the 4th international conference on Computer graphics,
virtual reality, visualization and interaction in Africa, January 2006 Publisher: ACM Abstract “A new technique for generating virtual
environments is proposed, whereby the user describes the environment that
they wish to create using adjectives. An entire scene is then procedurally
generated, based on the mapping of these adjectives to the parameter ...” Full text available: Pdf ACM (156.42
KB) ********************************************************* Affective Scene Generation Carl Hultquist Welcome
to the web-page for my PhD project! I am conducting research into a field
that my supervisor and I have dubbed affective
scene generation, which informally is the automatic generation of virtual
environments from a set of adjectives specified by the user. For more
technical bits and pieces, please consult some of the other pages using the
links on the left. http://people.cs.uct.ac.za/~chultqui/masters/ Affective Scene Generation. Masters Proposal. Carl Hultquist http://www.slideworld.com/slideshows.aspx/Affective-Scene-Generation-ppt-1085852 ********************************************************* Mohammad Soleymani, Guillaume Chanel,
Joep J. M. Kierkels, Thierry Pun ISM '08: Proceedings of the 2008 Tenth IEEE International
Symposium on Multimedia - Volume 00 , December 2008, Publisher: IEEE Computer Society Abstract “In this
paper, we propose an approach for affective representation of movie scenes
based on the emotions that are actually felt by spectators. Such a representation
can be used for characterizing the emotional content of video clips for e.g.
affective video indexing and retrieval, neuromarketing studies, etc. A
dataset of 64 different scenes from eight movies was shown to eight
participants. While watching these clips, their physiological responses were
recorded. The participants were also asked to self-assess their felt
emotional arousal and valence for each scene. In addition, content-based
audio- and video-based features were extracted from the movie scenes in order
to characterize each one. Degrees of arousal and valence were estimated by a
linear combination of features from physiological signals, as well as by a
linear combination of content-based features. We showed that a significant
correlation exists between arousal/valence provided by the spectator's
self-assessments, and affective grades obtained automatically from either
physiological responses or from audio-video features. This demonstrates the
ability of using multimedia features and physiological responses to predict
the expected affect of the user in response to the emotional video content.” **************************** This is the
personal website of Mohammad Soleymani http://www.soleymani.ir/doku.php Movie affective
characterization “We propose an
approach for affective representation of movie scenes based on the emotions
that are actually felt by spectators. Such a representation can be used for
characterizing the emotional content of video clips for e.g. affective video
indexing and retrieval, neuromarketing studies, etc…” http://cvml.unige.ch/doku.php/mmi/movieaffectivecharacterization Research and
academic http://www.soleymani.ir/doku.php?id=research ********************************************************* Affective
ranking of movie scenes using physiological signals and content analysis Mohammad Soleymani, Guillaume Chanel,
Joep J.M. Kierkels, Thierry Pun MS '08: Proceeding of the 2nd ACM workshop
on Multimedia semantics, October 2008, Publisher: ACM Abstract “In this paper, we propose an approach
for affective ranking of movie scenes based on the emotions that are actually
felt by spectators. Such a ranking can be used for characterizing the
affective, or emotional, content of video clips. The ranking can ...” Full text available: Pdf ACM ********************************************************* E-tree:
emotionally driven augmented reality art Stephen W. Gilroy , University of Teesside, Middlesbrough, United Kingdom, Marc Cavazza , University of Teesside, Middlesbrough, United Kingdom, Rémi Chaignon , University of Teesside, Middlesbrough, United Kingdom, Satu-Marja Mäkelä , VTT Electronics, Espoo, Finland, Markus Niranen , VTT Electronics, Espoo, Finland, Elisabeth André , University of Augsburg, Augsburg, Germany, Thurid Vogt , University of Augsburg, Augsburg, Germany, Jérôme Urbain , Faculté Polytechnique de Mons, Mons, Belgium, Mark Billinghurst , HITLabNZ, Christchurch, New Zealand, Hartmut Seichter , HITLabNZ, Christchurch, New Zealand, Maurice Benayoun , Université Paris 1, Paris, France MM '08: International
Multimedia Conference, Proceeding of the 16th ACM international conference on
Multimedia, SESSION: Art track short papers, Pages 945-948, Vancouver, British Columbia, Canada, October 2008 Abstract “In this
paper, we describe an Augmented Reality Art installation, which reacts to
user behaviour using Multimodal analysis of affective signals. The
installation features a virtual tree, whose growth is influenced by the
perceived emotional response from spectators. The system implements a 'magic
mirror' paradigm (using a large-screen display or projection system) and is
based on the ARToolkit with extended representations for scene graphs. The
system relies on a PAD dimensional model of affect to support the fusion of
different affective modalities, while also supporting the representation of
affective responses that relate to aesthetic impressions. The influence of
affective input on the visual component is achieved by mapping affective data
to an L-System governing virtual tree behaviour. We have performed an early
evaluation of the system, both from the technical perspective and in terms of
user experience. Post-hoc questionnaires were generally consistent with data
from multimodal affective processing, and users rated the overall experience
as positive and enjoyable, regardless of how proactive they were in their
interaction with the installation.” Full text available: Pdf ACM (713.97
KB) ********************************************************* E-Tree:
affective interactive art Stephen W.
Gilroy, Marc Cavazza, Remi Chaignon ACE '08: Proceedings of the 2008
International Conference on Advances in Computer Entertainment Technology, December 2008 Publisher: ACM Abstract “As part
of the CALLAS project [1], our aim is to explore multimodal interaction in an
Arts and Entertainment context. This creative showcase is an Augmented
Reality Art installation, which reacts to user behaviour using multimodal
analysis of affective signals. The installation features a virtual tree,
whose growth is influenced by the perceived emotional response from the
spectators. The system implements a 'magic mirror' paradigm (using a
large-screen display or projection system) and produces interactive graphics
based on the ARToolkit [2, 3] with extended representations for scene graphs
[4]. The system relies on a PAD dimensional model [5] to support the fusion
of affective modalities, each input modality being represented as a PAD
vector. A further advantage of the PAD model is that it supports the
representation of affective responses that relate to aesthetic impressions.
The influence of affective input on the visual component is achieved by
mapping affective data to an L-System governing virtual tree behaviour. We
have performed an early evaluation of the system, both from the technical
perspective and in terms of user experience.” Full text available: Pdf ACM (2.35
MB) ********************************************************* An affective
model of user experience for interactive art Stephen W.
Gilroy University of Teesside,
Middlesbrough, UK, Marc Cavazza University of Teesside, Middlesbrough, UK, Rémi Chaignon University of Teesside, Middlesbrough, UK, Satu-Marja
Mäkelä VTT Electronics, Finland, Markus
Niranen VTT Electronics, Finland, Elisabeth
André University of Augsburg, Germany, Thurid Vogt University of Augsburg, Germany, Jérôme Urbain Faculté Polytechnique de Mons, Belgium, Hartmut
Seichter HITLabNZ, New Zealand, Mark
Billinghurst HITLabNZ,
New Zealand, Maurice
Benayoun Citu, Université Paris,
Panthéon-Sorbonne. ACE '08: Proceedings of the 2008
International Conference on Advances in Computer Entertainment
Technology, December
2008 Publisher: ACM Abstract “The development
of Affective Interface technologies makes it possible to envision a new
generation of Digital Arts and Entertainment applications, in which
interaction will be based directly on the analysis of user experience. In
this paper, we describe an approach to the development of Multimodal
Affective Interfaces that supports real-time analysis of user experience as
part of an Augmented Reality Art installation. The system relies on a PAD
dimensional model of emotion to support the fusion of affective modalities,
each input modality being represented as a PAD vector. A further advantage of
the PAD model is that it can support a representation of affective responses
that relate to aesthetic impressions.” Full text available: Pdf ACM (1.70
MB) ******************************************************************* Do computers
understand art? Plataforma
SINC, miércoles, 23 de diciembre de 2009 “A team of
researchers from the University of Girona and the Max Planck Institute in
Germany has shown that some mathematical algorithms provide clues about the
artistic style of a painting. The composition of colours or certain aesthetic
measurements can already be quantified by a computer, but machines are still
far from being able to interpret art in the way that people do.” http://www.alphagalileo.org/ViewItem.aspx?ItemId=65264&CultureCode=en ******************************************************************* The ACM Looks
at Sentiment Analysis Posted by Seth
Grimes, Intelligent Enterprise, Thursday, April 2, 2009, 12:07 PM “Our Sentiments, Exactly in the April issue of the Communications of the ACM tackles sentiment
analysis.” http://www.intelligententerprise.com/blog/archives/2009/04/the_acm_looks_a.html Our Sentiments,
Exactly Alex Wright,
Communications of the ACM, Vol. 52 No. 4, Pages 14-15 “With sentiment
analysis algorithms, companies can identify and assess the wide variety of
opinions found online and create computational models of human opinion.” http://cacm.acm.org/magazines/2009/4/22946-our-sentiments-exactly/fulltext ******************************************************************* Affective Robotics / Robótica Afectiva ************************************************************************* "Daisy,
Daisy, give me your answer do!": switching off a robot Christoph
Bartneck, Michel van der Hoek, Omar Mubin, Abdullah Al Mahmud March 2007 HRI '07: Proceedings of the ACM/IEEE international conference on Human-robot
interaction Abstract “Robots
can exhibit life like behavior, but are according to traditional definitions
not alive. Current robot users are confronted with an ambiguous entity and it
is important to understand the users perception of these robots. This study
analyses if a robot's intelligence and its agreeableness influence its
perceived animacy. The robot's animacy was measured, amongst other
measurements, by the users' hesitation to switch it off. The results show
that participants hesitated three times as long to switch off an agreeable
and intelligent robot as compared to a non agreeable and unintelligent robot.
The robots' intelligence had a significant influence on its perceived
animacy. Our results suggest that interactive robots should be intelligent
and exhibit an agreeable attitude to maximize its perceived animacy.” Full text available: Pdf ACM *********************************** An
Emotional Cat Robot Robots
might behave more efficiently if they had emotions. Duncan
Graham-Rowe Technology Review
Published by MIT, Thursday, July 26, 2007 http://www.technologyreview.com/Infotech/19102/?a=f Emotion robots learn from people BBC NEWS, Friday, 23 February 2007 http://news.bbc.co.uk/2/hi/technology/6389105.stm Robots with rhythm could rock your world Celeste Biever, NewScientist.com news service 22 March 2007 The Rise of the Emotional Robot Paul Marks, Amsterdam, New Scientist No. 2650, P. 24, 05 April 2008 http://technology.newscientist.com/channel/tech/mg19826506.100-the-rise-of-the-emotional-robot.html The rise of the emotional robot http://uk.youtube.com/watch?v=C_O6sTaS0nc Robots, our new
friends electric? Alok Jha, Guardian Unlimited (UK), 14 April 2008 EU plan for
first machines with personalities http://www.guardian.co.uk/science/2008/apr/14/sciencenews.news How to
Make (Robot) Friends and Influence People Technology
Review,Tuesday, May 05, 2009 “The
world's first robot with its own Facebook page is part of an ambitious
experiment to build long-term meaningful relationships with humans. …But building a meaningful relationship with
a robot may soon get easier if Nikolaos Mavridis and pals from the
Interactive Robots and Media Lab at the United Arab Emirates University have
anything to do with it. They say the key to building a longer, meaningful
relationship with a robot is to become embedded in the same network of shared
friends and together build a pool of shared memories that you can both refer
to. Just like a real friend.” http://www.technologyreview.com/blog/arxiv/23480/ Emotional machines ICT Results, April
8, 2008 http://cordis.europa.eu/ictresults/index.cfm/section/news/tpl/article/BrowsingType/Features/ID/89652 MIT Nexi
Robot Expresses Emotions Bill Christensen ,Technovelgy.com April 6, 2008 http://www.technovelgy.com/ct/Science-Fiction-News.asp?NewsNum=1562 Emotional robots in the spotlight ICT Results, July 17, 2008 http://cordis.europa.eu/ictresults/index.cfm/section/news/tpl/article/id/89893 Robo-relationships
are virtually assured: British experts Agence France Presse, Jul 30, 2008 http://mail.ipn.mx/Session/63866-k4mxvLOXvmS8FvlUQbXr/message.wssp?Mailbox=INBOX&MSG=5716&Unread& If you're happy, the robot knows it Celeste Biever New ScientistTech, 22 March 2007 http://technology.newscientist.com/article/mg19325966.500-if-youre-happy-the-robot-knows-it.html Machine rage is
dead ... long live emotional computing Consoles and
robots detect and respond to users' feelings Robin McKie, science
editor The Observer, Sunday 11 April 2004
http://www.guardian.co.uk/uk/2004/apr/11/robinmckie.theobserver Crean un robot que es capaz de "expresar sentimientos" Domingo 12, Julio 2009 Clarín.com “Fue desarrollado en la Universidad de California. Para que aprenda gestos, lo colocan frente a un espejo. Luego, por imitación, los repite. Lo diseñaron con el rostro de Albert Einstein.” http://www.clarin.com/diario/2009/07/12/um/m-01957024.htm ******************************************************************* 'I'm
Listening' - Conversations With Computers Lisa
Mitchell, Queen's University Belfast 16 April 2008 http://www.qub.ac.uk/home/TheUniversity/GeneralServices/News/PressReleases/#d.en.96597 Communication
with Emotional Body Language 21.03.2007 -
(idw) Universitätsklinikum Tübingen http://www.uni-protokolle.de/nachrichten/id/134060/ Mixed
Feelings See with your tongue. Navigate with your skin. Fly by the
seat of your pants (literally). How researchers can tap the plasticity of the
brain to hack our 5 senses — and build a few new ones. By Sunny Bains, WIRED Issue
15.04 -
March 2007 http://www.wired.com/wired/archive/15.04/esp.html ************************************************************************* Sistemas afectivos y educación Evaluating
the affective tactics of an emotional pedagogical agent Patrícia Augustin Jaques, Matheus Lehmann, Sylvie Pesty
SAC '09: Proceedings of the 2009 ACM
symposium on Applied Computing, March 2009 Abstract “This paper presents a quantitative
(with students of a local middle school) and a qualitative evaluation (with
teachers) of a lifelike and emotional pedagogical agent, called Pat. Pat has
the goal of inferring students' emotions and applying affective ...” Full text available: Pdf ACM (327.14
KB) ************************************************************************* Sistemas
afectivos y voz
********************************************************* Thurid Vogt, Elisabeth
André, Johannes
Wagner Affect and Emotion in Human-Computer
Interaction, June 2008 Publisher: Springer-Verlag Abstract “In this
article we give guidelines on how to address the major technical challenges
of automatic emotion recognition from speech in human-computer interfaces,
which include audio segmentation to find appropriate units for emotions,
extraction of emotion relevant features, classification of emotions, and
training databases with emotional speech. Research so far has mostly dealt
with offline evaluation of vocal emotions, and online processing has hardly
been addressed. Online processing is, however, a necessary prerequisite for
the realization of human-computer interfaces that analyze and respond to the
user's emotions while he or she is interacting with an application. By means
of a sample application, we demonstrate how the challenges arising from
online processing may be solved. The overall objective of the paper is to
help readers to assess the feasibility of human-computer interfaces that are
sensitive to the user's emotional voice and to provide them with guidelines
of how to technically realize such interfaces.” ********************************************************* Comparing
emotions using acoustics and human perceptual dimensions Keshi Dai, Harriet Fell, Joel MacAuslan CHI EA '09: Proceedings of the 27th
international conference extended abstracts on Human factors in computing
systems, April 2009 Publisher: ACM Abstract “Understanding the difference between
emotions based on acoustic features is important for computer recognition and
classification of emotions. We conducted a study of human perception of six
emotions based on three perceptual dimensions and compared ...” Full text available: Pdf ACM (739.93
KB) ********************************************************* EmoVoice -- A
Framework for Online Recognition of Emotions from Voice Thurid Vogt, Elisabeth
André, Nikolaus Bee PIT '08: Proceedings of the 4th IEEE
tutorial and research workshop on Perception and Interactive Technologies for
Speech-Based Systems: Perception in Multimodal Dialogue Systems Publisher: Springer-Verlag, June 2008 Abstract “We
present EmoVoice, a framework for emotional speech corpus and classifier creation
and for offline as well as real-time online speech emotion recognition. The
framework is intended to be used by non-experts and therefore comes with an
interface to create an own personal or application specific emotion
recogniser. Furthermore, we describe some applications and prototypes that
already use our framework to track online emotional user states from voice
information.” Pdf http://mm-werkstatt.informatik.uni-augsburg.de/files/publications/211/Vogtetal-PIT08.pdf ********************************************************* Does
Computer-Generated Speech Manifest Personality?, An Experimental Test of
Similarity-Attraction Clifford Nass, Department
of Communication, Stanford University, Stanford, CA Kwan Min Lee, Department
of Communication, Stanford University, Stanford, CA Conference on
Human Factors in Computing Systems The Hague, The Netherlands, Pages: 329 – 336, Year of
Publication: 2000 Abstract “This
study examines whether people would interpret and respond to paralinguistic
personality cues in computer-generated speech in the same way as they do
human speech. Participants used a book-buying website and heard five book
reviews in a 2 (synthesized voice personality: extrovert vs. introvert) by 2
(participant personality: extrovert vs. introvert) balanced, between-subjects
experiment. Participants accurately recognized personality cues in TTS and
showed strong similarity-attraction effects. Although the content was the
same for all participants, when the personality of the computer voice matched
their own personality: 1) participants regarded the computer voice as more
attractive, credible, and informative; 2) the book review was evaluated more
positively; 3) the reviewer was more attractive and credible; and 4)
participants were more likely to buy the book. Match of user voice
characteristics with TTS had no effect, confirming the social nature of the
interaction. We discuss implications for HCI theory and design.” Full text available: Pdf ACM (869 KB) ************************************************************************* Sistemas
afectivos y Lingüística
Improvising
linguistic style: social and affective bases for agent personality Marilyn A. Walker, Janet E. Cahn,
Stephen J. Whittaker AGENTS '97: Proceedings of the first international
conference on Autonomous agents, February 1997, Publisher: ACM Full text available: Pdf ACM ********************************************************* A survey on sentiment detection of reviews Huifeng Tang, Songbo Tan, Xueqi Cheng Expert Systems with
Applications: An International Journal , Volume 36 Issue 7 Publisher: Pergamon Press, Inc., September 2009 Abstract “The sentiment detection of texts has
been witnessed a booming interest in recent years, due to the increased
availability of online reviews in digital form and the ensuing need to
organize them. Till to now, there are mainly four different problems
predominating ...” PDF http://www.msit2005.mut.ac.th/msit_media/1_2552/ITEC0950/Materials/2009071172143dC.pdf ********************************************************* Learning
to identify emotions in text Carlo
Strapparava, Rada Mihalcea March
2008 SAC '08: Proceedings of the 2008 ACM symposium on Applied computing Publisher: ACM Abstract “This
paper describes experiments concerned with the automatic analysis of emotions
in text. We describe the construction of a large data set annotated for six
basic emotions: ANGER, DISGUST, FEAR, JOY, SADNESS and SURPRISE, and we
propose and evaluate several knowledge-based and corpusbased methods for the
automatic identification of these emotions in text.” Full text available: Pdf ACM (121.08
KB) ********************************************************* Visualizing the
affective structure of a text document Hugo Liu, Ted Selker, Henry Lieberman CHI '03: CHI '03 extended abstracts on Human factors in computing systems, April 2003 Publisher: ACM Abstract “This paper introduces an approach for
graphically visualizing the affective structure of a text document. A
document is first affectively analyzed using a unique textual affect sensing
engine, which leverages commonsense knowledge to classify text more ...” Full text available: Pdf ACM ********************************************************* A model of
textual affect sensing using real-world knowledge Hugo Liu, Henry Lieberman, Ted Selker IUI '03: Proceedings of the 8th international conference on Intelligent user
interfaces, January 2003 Publisher: ACM Abstract “This paper presents a novel way for
assessing the affective qualities of natural language and a scenario for its
use. Previous approaches to textual affect sensing have employed keyword
spotting, lexical affinity, statistical methods, and hand-crafted ...” Full text available: Pdf ACM (234.54
KB) ********************************************************* Emotions from
text: machine learning for text-based emotion prediction Cecilia Ovesdotter Alm, Dan Roth, Richard Sproat HLT '05: Proceedings of the conference on Human
Language Technology and Empirical Methods in Natural Language Processing, October 2005 Publisher: Association for
Computational Linguistics Abstract “In addition to information, text
contains attitudinal, and more specifically, emotional content. This paper
explores the text-based emotion prediction problem empirically, using
supervised machine learning with the SNoW learning architecture. ...” Full text available: Pdf ACM ************************************************** Emotion recognition
from text using semantic labels and separable mixture models Chung-Hsien Wu, Ze-Jing Chuang, Yu-Chung Lin ACM Transactions
on Asian Language Information Processing (TALIP) ,
Volume 5 Issue 2, June 2006 Abstract “This study
presents a novel approach to automatic emotion recognition from text. First,
emotion generation rules (EGRs) are manually deduced from psychology to
represent the conditions for generating emotion. Based on the EGRs, the
emotional state of each sentence can be represented as a sequence of semantic
labels (SLs) and attributes (ATTs); SLs are defined as the domain-independent
features, while ATTs are domain-dependent. The emotion association rules
(EARs) represented by SLs and ATTs for each emotion are automatically derived
from the sentences in an emotional text corpus using the a priori
algorithm. Finally, a separable mixture model (SMM) is adopted to estimate
the similarity between an input sentence and the EARs of each emotional
state. Since some features defined in this approach are domain-dependent, a
dialog system focusing on the students' daily expressions is constructed, and
only three emotional states, happy, unhappy, and neutral, are
considered for performance evaluation. According to the results of the
experiments, given the domain corpus, the proposed approach is promising, and
easily ported into other domains.” Full text available: Pdf ACM
(396 KB) ************************************************************************* Sistemas
afectivos y expresiones
Virtual Emotion to Expression: A Comprehensive
Dynamic Emotion Model to Facial Expression Generation using the MPEG-4
Standard Paula Rodrigues, Informatics
Department, PUC-Rio, Brazil. Asla Sá, TecGraf,
PUC-Rio, Brazil. Luiz Velho IMPA -
Instituto de Matematica Pura e Aplicada, Brazil. Computer
Animation: chapter 6.
Nova Science Publishers,
November 2009. Abstract “In this paper
we present a framework for generating dynamic facial expressions synchronized
with speech, rendered using a tridimensional realistic face. Dynamic facial
expressions are those temporal-based facial expressions semantically related
with emotions, speech and affective inputs that can modify a facial animation
behavior. The framework is
composed by an emotion model for speech virtual actors, named VeeM (Virtual
emotion-to-expression Model), which is based on a revision of the emotional
wheel of Plutchik model. The VeeM introduces the emotional hypercube concept
in the R4 canonical space to combine pure emotions and create new
derived emotions. The VeeM model
implementation uses the MPEG-4 face standard through a innovative tool named
DynaFeX (Dynamic Facial eXpression). The DynaFeX is an authoring and player
facial animation tool, where a speech processing is realized to allow the
phoneme and viseme synchronization. The tool allows both the definition and
refinement of emotions for each frame, or group of frames, as the facial
animation edition using a high-level approach based on animation scripts. The tool player
controls the animation presentation synchronizing the speech and emotional
features with the virtual character performance. Finally,
DynaFeX is built over a tridimensional polygonal mesh, compliant with MPEG-4
facial animation standard, what favors tool interoperability with other
facial animation systems.” PDF http://www.visgraf.impa.br/Data/RefBib/PS_PDF/nova09/novaPublisher_RoSV.pdf ********************************************************* Recognising
emotions in human and synthetic faces: the role of the upper and lower parts
of the face Erica
Costantini, Fabio Pianesi, Michela Prete January 2005 IUI '05: Proceedings of the 10th international conference on Intelligent user
interfaces Publisher: ACM Abstract “Embodied Conversational Agents that can express
emotions are a popular topic. Yet, despite recent attempts, reliable methods
are still lacking to assess the quality of facial displays. This paper
extends and refines the work in [6], focusing on the role ...” Full text available: Pdf ACM (244.42
KB) ************************************************************************* |