Silicon Coppelia: Similarity and Complementarity Among Three Affect-related Agent Models
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Silicon Coppelia: Similarity and Complementarity Among Three Affect-related Agent Models

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Wai presentatie februari 2009

Wai presentatie februari 2009

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  • 3 models together cover large part of emotion literature Social Sciences: Explain that creating robots is also a way to test the models
  • PEFiC: Perceiving and Experiencing Fictional Characters I-PEFiC: Interactive ADM: Affective Decision Making
  • Print 6 slides in original presentation about this on 1 page
  • Start with Encode / Compare in I-PEFiC ADM
  • Utility ~= Outcome expectancies
  • Emotion regulation strategies broader than Coping (coping focused on down-regulating negative emotions) Coping requires causal connection between coping strategies and emotions they are regulating Gross and I-PEFiC can also control overenthusiasm, maintain positive mood, etc. EMA is more detailed in how emotion regulation works (detailed description in terms of causal interpretation etc.)

Silicon Coppelia: Similarity and Complementarity Among Three Affect-related Agent Models Silicon Coppelia: Similarity and Complementarity Among Three Affect-related Agent Models Presentation Transcript

  • Silicon Copp é lia : Similarity and Complementarity Among Three Affect-related Agent Models
      • Matthijs Pontier
  • Overview of this presentation
    • Short explanation of three affect-related models
      • CoMERG Based on Gross
      • EMA Based on Smith & Lazarus
      • I-PEFiC ADM Based on Frijda
    • Comparison of the three models
    • Integration of the three models
    • Conclusion
  • Goal of this study
    • Compare three affect-related models
      • CoMERG Based on Gross
      • EMA Based on Smith & Lazarus
      • I-PEFiC ADM Based on Frijda
    • Ultimate goal: Create emotional intelligent robots
  • Gross’ emotion regulation model
    • The experienced level of emotion can be changed by choosing a different:
      • Situation Last-minute study vs Dinner
      • Sub-situation Talk about exam vs Something else
      • Aspect Distract vs Pay attention
      • Meaning “ It’s only a test” vs “It’s really important”
      • Response Hiding your embarrassment after bad result
  • Gross’ emotion regulation model
  • CoMERG in layers
      • Emotion-Response-Level
      • Emotional Values V n
      • Modification Factors  n
      • Personal Tendency  n
      • Experiences (e.g. Therapy / Trauma)
  • EMA Algorithm
    • Construct and maintain a causal interpretation of ongoing world events in terms of beliefs, desires plans and intentions.
    • Generate multiple appraisal frames that characterize features of the causal interpretation in terms of appraisal variables.
    • Map individual appraisal frames into individual instances of emotion
    • Aggregate emotion instances into a current emotional state and overall mood.
    • Adopt a coping strategy in response to the current emotional state.
  • Graphical representation EMA
  • I-PEFiC ADM
  • Relations in the model at a glance
    • An Ambition level for a goal is calculated by multiplying Relevance with Valence for that goal
    • An Expected utility is calculated for each action, by looking at the Beliefs that goals are facilitated, and the Ambition levels for those goals
    • Expected Utilities result in Use Intentions and Action Tendencies
    • Action Tendencies for actions increase Involvement and Distance according to action type
    • The Expected Satisfaction of an action is calculated by taking a weighed mean of the Involvement-Distance-tradeoff and the Use-Intentions
    • The action with the highest Expected Satisfaction is picked
  • Comparison of the three models
  • Encoding
    • CoMERG
      • Based on aspects. How this happens is left out of consideration
    • EMA
      • Situations are appraised by utility state predicates and causal interpretation
    • I-PEFiC ADM
      • Other character is part of a situation, and is encoded in ethics, aesthetics, epistemics and affordances
  • Compare
    • CoMERG
      • Based on cognitive meaning. How this happens is left out of consideration
    • EMA
      • Compare in terms of Relevance, Utility, Desirability and (other) appraisal variables
    • I-PEFiC ADM
      • Compare in terms of Relevance, Valence
      • Utility ≈ Current Valence
      • Desirability ≈ Future Valence
  • Respond
    • CoMERG
      • Emotion response tendencies result in experiential (covert), physiological ((c)overt), and behavioral (overt) response
      • Emotion regulation strategies are applied which lead to new emotion response tendencies
    • EMA
      • Relevance, Utility, and Desirability are mapped to Affective states (covert)
      • Affective states lead to Coping behavior (overt)
    • I-PEFiC ADM
      • Relevance, Utility, Desirability are mapped to Involvement-Distance-Tradeoff / Emotions (covert)
      • Involvement, Distance and Use Intentions feed into Affective Decision Making which leads to actions (overt)
  • Integration of the three models
  • Conclusion
    • CoMERG, EMA and I-PEFiC ADM were compared
    • These three models are based on theories that together provide large coverage of psychological literature in affect-related processes (Gross, Lazarus, Frijda)
    • Models are complementary, and therefore we propose to integrate them
    • Next step: Implement integrated model in an application in which humans interact with Silicon Copp é lia and perform user studies
  • Questions?