Improving Interpersonal Skills Using Social Dialogues

Jana Pazúriková

3.3.2010, PeWe Mgr. Jozef Tvarožek

The problem

The idea

• a “strategic” computer game of “finding” your dream person

Game play – Overview

• Turn-based game of decision making• Turn = Exchange of benefits

• Social Exchange Framework:• Actors who exchange• Resources exchanged• Social structures within which exchange relationships develop

Game play (2) – Actors

• Simplified social exchange• Actor model: characteristics <-1,1>

• sociability, activity, altruism, reliability, self-confidence, stability, eagerness, awareness, reciprocity, intimacy, attractiveness, love, fellowship, fun, fulfillment, hobbies…

•Need: value < 0 ... Plenty: value > 0

Game play (3) – Exchanges

• Exchange model: playing tennis, hanging out, pub, shopping, movie night, party, part-time job, music band, phone call, chat, watching TV, playing computer games, …

• Negotiated transactions: Initiation → Transaction

• Reciprocal transactions: Initiated by a beneficiary act

• Input: persons' characteristics, activity parameters, random

• Output: update persons' characteristics

• How to do that?

Game play (4) – Modes

• 1. Campaign• Pre-generated social structures• Subset of person characteristics

• 2. Skirmish• Random social structure• Random subset of person characteristics• Cold start: Describe your dream person.

Dialogs

• text-based, menu-driven

• occur as

1. negotiation of an activity

2. social dialog

• representation

– acyclic graph

– vertex – sentence

– oriented weighted edge – connection

user11 – Hi, Danka.31 – You look great today. How are you?32 – You, too. How are you?33 – How are you?34 – Nice weather, isn’t it?35 – Bye.

system21 – Janka, hi, nice to see you again.22 – Hello.23 – Hi, I’ve to go. Bye.24 – Leave me alone, please.41 – Thanks I’m fine. And you?42 – I’m OK. How are you?43 – Well, math homework is killing me.44 – Sure, finally sunny.45 – I’m all right.

Weights

1. probability of progressing this way in real-world dialog

– calculated by neuro-fuzzy system– input – person’s and relationship’s characteristics– continue with highest probability edge

2. effect on person’s characteristics– manually assigned by domain expert– maximize positive effect– longest path problem

Tool for widening graph

1. neuro-fuzzy system− add new vertex− determine rules− define test set ???− run learning algorithm

2. longest-path algorithm− add new vertex− define the effect on characteristics

Summary

• Turn-based single player strategic game

• Simplified social exchange model

• Social life simulation – with activities and dialog builds and maintain the relationship

• Tool for domain experts