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Marital Agent TraitBased Emotion System

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Vast majority in US marry (83%) 43% of first marriages end in divorce ... psychopathology (e.g. depression, anxiety) lower work productivity. poverty. alienation ... – PowerPoint PPT presentation

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Title: Marital Agent TraitBased Emotion System


1
Marital Agent Trait-BasedEmotion System
  • System collects information about a pre-marital
    couple.
  • Use questionnaires to determine
  • Personality- IPIP NEO
  • Relationship concerns (Gottman)
  • Goals with emotion vectors
  • Model couple in negotiation

2
Enhancing Marital Stability
  • Vast majority in US marry (83)
  • 43 of first marriages end in divorce
  • marital unhappiness negatively affects adults and
    children
  • health
  • loss of social and financial support
  • psychopathology (e.g. depression, anxiety)
  • lower work productivity
  • poverty
  • alienation
  • Societal costs are enormous

3
My wife and I had words, but I never got to use
mine. -Fibber McGee
  • The basic cause of divorce today is faulty mate
    selection and inadequate preparation for a
    companionship type of marriage. Waller

4
Variables for prediction of divorce
  • characteristics of each person
  • combinations of couple characteristics
  • compatibility in areas such as personal values
    and leisure interests
  • dyadic characteristics
  • length of courtship
  • feelings for partner
  • evaluation of relationship
  • social network
  • cohabitation
  • premarital birth
  • communication patterns

5
Communication Important
  • Finding right partner in terms of all variables
    is very slim conflict is inevitable!
  • Communication patterns can be changed whereas
    race, social class, feelings for partner,etc.
    typically cannot!
  • GOAL Improve communication by modeling couples
    communication

6
Benefits to Couple
  • See themselves ah ha moment
  • Demonstrate concerns
  • Give multiple forms of feedback
  • visual
  • written evaluation
  • interactive
  • model best practices/suggest changes
  • Accessible and non-threatening

7
Contributions
  • Model participants themselves
  • Use self-reporting to assess personality, goals,
    concerns
  • Create an Algebra of Emotion- unified approach
  • Knowledge engineering

8
  • Alice Want
  • to go to a
  • movie?
  • joy,fear
  • Bob What
  • movie?
  • joy,interest

Symbolic representation of request/inform/accept/r
eject/counter Emotions explicitly
conveyed. Emotional transforms filter, combine,
enhance, degrade
9
The System
  • Library of plans indexed by goals/personalities
  • Goals extracted from questionnaire
  • select appropriate plan
  • Personality restricts actions through micro
    theory selection. (Open Cyc)
  • Emotions generated from goal achievement or
    likelihood/unlikelihood of goal achievement.
  • Emotions are used to select means of achieving
    subgoals
  • Events may motivate plan repair simplistic
    search through conditional alternatives

10
The Details
  • Agent is scripted using Prolog-like knowledge
    base
  • Some goals are actively pursued
    (e.g. have stable relationship)
  • Other goals are hoped for but not actively
    pursued (e.g. be appreciated)
  • Goals are populated with emotion vector for each
    subgoal.
  • Emotions combined, filtered, degraded as
    specified by parameters of algebra of emotion.

11
Personality Effects
  • Which emotions are felt
  • Intensity of emotions
  • Which actions are selected
  • Which attributes the person is willing/able to
    modify
  • Accurate modeling is important confidence advice
    is appropriate

12
Where do numbers come from?
  • Personality surveys valid for self-reporting?
  • Couple surveys typically done by observation via
    trained professionals. Still accurate for
    self-reporting?
  • What factors control intensity of response?
  • What actions choices are appropriate for history,
    personality, emotion?
  • Knowledge engineering is critical!
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