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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

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Towards an Ontology for Describing Emotions

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  1. Towards an Ontology for Describing Emotions 1st World Summit of the Knowledge Society WSKS’08 Juan Miguel López1, Rosa Gil1, Roberto García1, Idoia Cearreta2, Nestor Garay2 1 Universitat de Lleida, Spain 2 University of the Basque Country, Spain September 25, 2008 Athens, Greece

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

  3. 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 Emotion: 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

  4. 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

  5. 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

  6. Ontologies for Emotion • 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)

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

  8. 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

  9. Conceptual Model “physical world” “mental world”

  10. 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

  11. Emotions Ontology

  12. 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:

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

  14. 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”

  15. 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 sadnessplay songs and/or display images associated to a happy user response

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

  17. 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

  18. 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

  19. Thank you for your attention Roberto García rgarcia@diei.udl.es

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