Towards an Ontology for Describing Emotions

Towards an Ontology for Describing Emotions 1 st World Summit of the Knowledge Society WSKS’08 Juan Miguel López 1 , Rosa Gil 1 , Roberto García 1 , Idoia Cearreta 2, Nestor Garay 2 1 Universitat de Lleida, Spain 2 University of the Basque Country, Spain September 25, 2008 Athens, Greece

Table of Contents
Introduction
Describing Emotion
Ontologies for Emotion
Conclusions
Future Work
Conceptual Model
Emotions Ontology
Use Case

Introduction
Human beings are eminently emotional
Affective computing : detect and response to user's emotions
Great variety of theoretical models of emotions
Emotions are not universal (cultural, language and individual particularities)  Context influence
Focus (reduce complexity):
Emergent E motion : states where the person’s whole system is caught up in the way they react to a particular person or situation
Just emotion detection and expression systems, not internals of emotion processing in humans

Introduction
Objectives:
Generic approach to define context-aware emergent emotions taking different theoretical models into account
Guide for flexible design of multimodal affective applications with independence of the starting model and the final way of implementation

Describing Emotion
Most common cognitive models of emotions:
Categorical (Ekman, 1984)
Dimensional (Lang, 1979)
Appraisal (Scherer, 1999)
Emotion expression systems:
Verbal
Behavioural (e.g. facial or postural)
Psycho-physiological (e.g heart rate)
Emotional processing levels:
Emotional context (location, time, activity, devices and person)
Emotion itself
Associated multimodal behaviours

Semantic lexicon in the field of feelings and emotions (Mathieu, 2005)
Emotional annotation with WordNetAffect (Strapparava and Valittutti, 2004)
Ontology of affective states for context aware applications (Benta et al., 2007)
User context model (Cearreta et al., 2007)

Table of Contents
Introduction
Describing Emotion
Conclusions
Future Work
Conceptual Model
Emotions Ontology
Use Case

Conceptual Model
Independent from psychological theories
No interpretation of emotions
No emotion triggering mechanism model
Multimodality:
Incorporates Lang’s three expression systems
Input through senses (humans) and sensors (computers)
Model context: individual, social and environmental
Focus on Emergent Emotion, base of human affectiveness

Conceptual Model “ physical world” “ mental world”

Emotions Ontology
Formalisation of the conceptual model
Flexible and extensible (accommodate different theories)
Web-wide sharable : Web Ontology Language (OWL)
Enrich by reusing upper ontologies
DOLCE , Descriptive Ontology for Linguistic and Cognitive Engineering (Gangemi et al., 2002)
Context representation: Description & Situation
Other generic concepts

Emotions Ontology

Emotions Ontology
DOLCE provides generic terms for modelling context
Enormous range of situations that might be associated with emotions
FrameNet : formalisation of a enormous linguistic base, based on Frames:
Lexical Unit Frame LU Status Lexical Entry Report Annotation Report score.n Cardinal_numbers Created LE score.n Behind_the_scenes Finished_Initial LE Anno score.v Getting Created score.v Damaging Created LE scores.n Quantity Finished_Initial LE Anno

Emotions Ontology Scenario "Torres scored a winning goal in the last minute" describes triggers Emergent Emotion Description score - Recipient  "Torres" - Result  "winning" - Theme  "goal" - Time  "in the last minute"

Use Case
Emotion-aware Tangible User Interface
Interface:
Sensors: microphone, camera and buttons
Expression: display and speaker
Situations  Descriptions:
“ playing a song”
“ displaying a picture”

Use Case
Emergent Emotion: sadness, happiness, anger, calm, worry, relaxed, boredom and surprise
Training: recognize user emotional response to some situations
Then, make user experience more pleasant
If detected sadness play songs and/or display images associated to a happy user response

Table of Contents
Introduction
Describing Emotion
Conclusions
Future Work
Conceptual Model
Emotions Ontology
Use Case

Conclusions
Generic model for describing emotions and their detection and expression systems taking contextual and multimodal elements into account
Cognitive interpretation of emotions
Independence from emotion theories
Formalised as a Web Ontology
Reuse DOLCE and FrameNet

Future Work
Extending the ontology beyond emergent emotion
Affective states and emotions in social networks
Extend emotion-aware application based on Tangible User Interfaces
Make computers more accessible, personalised and adapted to user needs

Thank you for your attention Roberto García [email_address]

Towards an Ontology for Describing Emotions

by rogargon on Sep 25, 2008

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Towards an Ontology for Describing Emotions — Presentation Transcript