A Serious Game For Better Understanding of Behaviour Differences Between Children

Supervised by

Dr. Ammar Joukhadar Dr.Noor Shaker Eng. Mohammed Shaker

Designed, Implemented and Tested by

Rawan Al-Omari Walaa Baghdadi Zeina Al-Helwani

F.I.T.E of Damascus, Syria – AI Department 2014

Content

• Motivation and Work scope

• This Study

• Psychology Study

• The Game

• Data Collection

• Data Analysis

• Result Analysis

• Implementation Tools

• Future Perspectives

• Demo

Introduction Motivation and Work Scope

We should put children in an environment where

they want to learn and where we can naturally discover their true

passions The Element, Ken Robinson

18-35

39%

>36

31%

Gamer

Age

Hours Spent

Daily

7

5

3 30%

<18

Hours Spent Playing (By Age Segment)

A Survey

Discuss it

Indirect Influence

Ignore it

41%

52%

6%

If you noticed a problem in your child behavior, what do you do?

A Survey

In case you want a product to inspect and alter your child behavior, what would it be?

Survey

Intelligent robot (a bot)

Game

6%

11%

83%

O n a M i s s i o n

Similar Studies

Conflict resolution

Village Game

Anti-bullying

FearNot Game

Content

• Motivation and Work scope

• This Study

• Psychology Study

• The Game

• Data Collection

• Data Analysis

• Result Analysis

• Implementation Tools

• Future Perspectives

• Demo

Psychologists and Parents Opinions

Assessments Reference Measuring violence-related attitudes,

behaviors and Influences among youths

170 assessments

Social

Fantasy

Conduct

Problems

Questionnaire to Game Scenario

Question Answer

Questionnaire to Game Scenario

Question Game Scenario

Questionnaire to Game Scenario

“Do you help other

kids in need?”

Content

• Motivation and Work scope

• This Study

• Psychology Study

• The Game

• Data Collection

• Data Analysis

• Result Analysis

• Implementation Tools

• Future Perspectives

• Demo

The Game

Design (Artist)

Mechanism (Programmer)

Game Environments

Park School Kitchen

Player Interaction

Player Goal (2 Models)

With (green)positive/ (red)negative score

Goal: solve all cases Goal: solve all cases

Without score

Content

• Motivation and Work scope

• This Study

• Psychology Study

• The Game

• Data Collection

• Data Analysis

• Result Analysis

• Implementation Tools

• Future Perspectives

• Demo

System Diagram

Game

Player

System Diagram

Game

Player

Data

Collection

System Diagram

Game

Player

Data

Collection

Statistical

Features

Analysis Diagram

Game

Player

Data

Collection

Statistical

Features

Feature

Selection

System Diagram

Game

Player

Data

Collection

Statistical

Features

Feature

Selection

Models

(Decision Trees,

Clustering)

Khubaraa Al-Mustakbal Institute

Data Collection

8-12 years old children

100 players [50 males, 50 females]

Recorded Log (32 features, every 5 seconds)

• General

• Inventory items

• Gameplay areas

• Cases in all areas

• Wrong tools usage

• Time

• Current time

• Game Time in a specific area

• Area-specific

• Visible cases (to the player) in current area

• Solved cases

• Case-specific

• Solved or not

• Player reaction to the case (the player’s answer)

• Wrong items used on the case

And more.

Recorded Features (37 overall)

• Pre-game questionnaire • Name

• Age

• Gender

• Daily playing hours

• #Brothers

• #Sisters

• Post-game questionnaire • Favorite place

• Were there missing tools?

• Did you find the tools sufficient?

• Challenge%

• Area-specific features • Order of solved cases in the area

• Game Time during the area

• Game Time to solve the case

• #Revisited

• #Used items to solve each case

• #Wrong items selected

• Game-specific features • Order of solved cases

• Answers of solved cases

• Game Time during the game

Content

• Motivation and Work scope

• This Study

• Psychology Study

• The Game

• Data Collection

• Data Analysis

• Result Analysis

• Implementation Tools

• Future Perspectives

• Demo

Eight-Model Comparison

Eight-Model Comparison

Eight-Model Comparison

Feature

Selection

Data Analysis Decision

Tree

Data

Clustering

Conduct Problems Selected Features

With score

• Playing Hours

• Game Time

• Social Fantasy Score

• #Wrong Items Case1

• #Revisited2

• TT Solve3

• TT Solve9

• #Revisited10

• Park3

• School2

• School3

Without score

• Playing Hours

• Social Fantasy Score

• #Revisited2

• TT Solve5

• #Wrong Items Case7

• #Revisited9

• TT Solve10

• #Revisited10

• Kitchen2

• Best-First Feature Selection (BFS) on 8 Models

Decision Tree (Conduct Problems)

Males & Females With/ Without Score

Without Score

With Score

Clustering (Conduct Problems)

Males & Females With Score

(Males & Females Without Score) Model - Microsoft Clustering

Clustering (Conduct Problems)

Males & Females Without Score

Clustering (Conduct Problems)

Cluster1 (22 child) Cluster2 (11 child) Cluster3 (8 child) Cluster4 (8 child) Cluster5 (3 child)

WrongItemsCase1=0

High School score

Direct game playing (no

revisited)

TT Solve9,

Revisited10=0

School3

1/3 >= Social Fantasy

Avg Playing Hours

Park3

TT Solve3

School2

No WrongItemsCase1

TT Solve9

Revisited10=0

Avg<=Game Time

TT Solve3

Revisited2

1/3 <= Social Fantasy

Park3

School3

Avg<=Playing Hours

Revisited10=0

WrongItemsCase1=0

School2

TT Solve3

Park3

Game Time

Avg<=Playing Hours

1/3 <= Social Fantasy

Repeated Revisited2

School3

TT Solve9

School2

TT Solve3

WrongItemsCase1=0

Max Playing Hours

Avg <= Game Time

TT Solve9

0<=Social Fantasy

Revisited10=0

Park3

Avg <= Revisited2

Revisited10=0

Mid Social Fantasy

Park3

TT Solve3=0

School2

Max Game Time

1 <= Revisited2

LowTT Solve9

WrongItemsCase1=0

Low Playing Hours

School3

Males & Females With Score

Clustering (Conduct Problems)

Cluster1 (22 child) Cluster2 (11 child) Cluster3 (8 child) Cluster4 (8 child) Cluster5 (3 child)

WrongItemsCase1=0

High School score

Direct game playing (no

revisited)

TT Solve9,

Revisited10=0

School3

1/3 >= Social Fantasy

Avg Playing Hours

Park3

TT Solve3

School2

No WrongItemsCase1

TT Solve9

Revisited10=0

Avg<=Game Time

TT Solve3

Revisited2

1/3 <= Social Fantasy

Park3

School3

Avg<=Playing Hours

Revisited10=0

WrongItemsCase1=0

School2

TT Solve3

Park3

Game Time

Avg<=Playing Hours

1/3 <= Social Fantasy

Repeated Revisited2

School3

TT Solve9

School2

TT Solve3

WrongItemsCase1=0

Max Playing Hours

Avg <= Game Time

TT Solve9

0<=Social Fantasy

Revisited10=0

Park3

Avg <= Revisited2

Revisited10=0

Mid Social Fantasy

Park3

TT Solve3=0

School2

Max Game Time

1 <= Revisited2

LowTT Solve9

WrongItemsCase1=0

Low Playing Hours

School3

Males & Females With Score

Clustering (Conduct Problems)

Males & Females Without Score

Cluster1 (17 child) Cluster2 (10 child) Cluster3 (8 child) Cluster4 (8 child) Cluster5 (4 child)

Revisited2 =0 ,

Kitchen2

Avg >= Solve5

Max Playing Hours

WrongItemsCase7=0

Revisited9=0

Revisited10=0

High Solve10

1/3<=Social Fantasy

WrongItemsCase7=0

Revisited10=0

Mid Social Fantasy

Kitchen2

Revisited2=0

Revisited9=0

Avg>=Playing Hours

Avg>=TT Solve10

Avg>=TT Solve5

1/3 <=TT Solve10

Kitchen2

Revisited2=0

Avg <= Playing Hours

LowTT Solve5

Revisited9=0

1/3>=Social Fantasy

Revisited10=0

WrongItemsCase7=0

WrongItemsCase7=0 ,

Revisited2=0

Kitchen2

LowTT Solve10

TT Solve5=0

Avg>=Playing Hours

Revisited9=moreThan1

1/3>=Social Fantasy

Revisited10=0

Revisited10=0

Revisited2=0

Revisited9=moreThan1

low<=Playing Hours

LowTT Solve5

Kitchen2

1/3<=Social Fantasy

WrongItemsCase7=0

LowTT Solve10

Cluster1 (22 child) Cluster2 (11 child) Cluster3 (8 child) Cluster4 (8 child) Cluster5 (3 child)

WrongItemsCase1=0

High School score

Direct game playing (no

revisited)

TT Solve9,

Revisited10=0

School3

1/3 >= Social Fantasy

Avg Playing Hours

Park3

TT Solve3

School2

No WrongItemsCase1

TT Solve9

Revisited10=0

Avg<=Game Time

TT Solve3

Revisited2

1/3 <= Social Fantasy

Park3

School3

Avg<=Playing Hours

Revisited10=0

WrongItemsCase1=0

School2

TT Solve3

Park3

Game Time

Avg<=Playing Hours

1/3 <= Social Fantasy

Repeated Revisited2

School3

TT Solve9

School2

TT Solve3

WrongItemsCase1=0

Max Playing Hours

Avg <= Game Time

TT Solve9

0<=Social Fantasy

Revisited10=0

Park3

Avg <= Revisited2

Revisited10=0

Mid Social Fantasy

Park3

TT Solve3=0

School2

Max Game Time

1 <= Revisited2

LowTT Solve9

WrongItemsCase1=0

Low Playing Hours

School3

Males & Females With Score

Clustering (Conduct Problems)

Cluster1 (22 child) Cluster2 (11 child) Cluster3 (8 child) Cluster4 (8 child) Cluster5 (3 child)

WrongItemsCase1=0

High School score

Direct game playing (no

revisited)

TT Solve9,

Revisited10=0

School3

1/3 >= Social Fantasy

Avg Playing Hours

Park3

TT Solve3

School2

No WrongItemsCase1

TT Solve9

Revisited10=0

Avg<=Game Time

TT Solve3

Revisited2

1/3 <= Social Fantasy

Park3

School3

Avg<=Playing Hours

Revisited10=0

WrongItemsCase1=0

School2

TT Solve3

Park3

Game Time

Avg<=Playing Hours

1/3 <= Social Fantasy

Repeated Revisited2

School3

TT Solve9

School2

TT Solve3

WrongItemsCase1=0

Max Playing Hours

Avg <= Game Time

TT Solve9

0<=Social Fantasy

Revisited10=0

Park3

Avg <= Revisited2

Revisited10=0

Mid Social Fantasy

Park3

TT Solve3=0

School2

Max Game Time

1 <= Revisited2

LowTT Solve9

WrongItemsCase1=0

Low Playing Hours

School3

Cluster1 (17 child) Cluster2 (10 child) Cluster3 (8 child) Cluster4 (8 child) Cluster5 (4 child)

Revisited2 =0 ,

Kitchen2

Avg >= Solve5

Max Playing Hours

WrongItemsCase7=0

Revisited9=0

Revisited10=0

High Solve10

1/3<=Social Fantasy

WrongItemsCase7=0

Revisited10=0

Mid Social Fantasy

Kitchen2

Revisited2=0

Revisited9=0

Avg>=Playing Hours

Avg>=TT Solve10

Avg>=TT Solve5

1/3 <=TT Solve10

Kitchen2

Revisited2=0

Avg <= Playing Hours

LowTT Solve5

Revisited9=0

1/3>=Social Fantasy

Revisited10=0

WrongItemsCase7=0

WrongItemsCase7=0 ,

Revisited2=0

Kitchen2

LowTT Solve10

TT Solve5=0

Avg>=Playing Hours

Revisited9=moreThan1

1/3>=Social Fantasy

Revisited10=0

Revisited10=0

Revisited2=0

Revisited9=moreThan1

low<=Playing Hours

LowTT Solve5

Kitchen2

1/3<=Social Fantasy

WrongItemsCase7=0

LowTT Solve10

Males & Females Without Score

Males & Females With Score

Clustering (Conduct Problems)

Cluster1 (22 child) Cluster2 (11 child) Cluster3 (8 child) Cluster4 (8 child) Cluster5 (3 child)

WrongItemsCase1=0

High School score

Direct game playing (no

revisited)

TT Solve9,

Revisited10=0

School3

1/3 >= Social Fantasy

Avg Playing Hours

Park3

TT Solve3

School2

No WrongItemsCase1

TT Solve9

Revisited10=0

Avg<=Game Time

TT Solve3

Revisited2

1/3 <= Social Fantasy

Park3

School3

Avg<=Playing Hours

Revisited10=0

WrongItemsCase1=0

School2

TT Solve3

Park3

Game Time

Avg<=Playing Hours

1/3 <= Social Fantasy

Repeated Revisited2

School3

TT Solve9

School2

TT Solve3

WrongItemsCase1=0

Max Playing Hours

Avg <= Game Time

TT Solve9

0<=Social Fantasy

Revisited10=0

Park3

Avg <= Revisited2

Revisited10=0

Mid Social Fantasy

Park3

TT Solve3=0

School2

Max Game Time

1 <= Revisited2

LowTT Solve9

WrongItemsCase1=0

Low Playing Hours

School3

Cluster1 (17 child) Cluster2 (10 child) Cluster3 (8 child) Cluster4 (8 child) Cluster5 (4 child)

Revisited2 =0 ,

Kitchen2

Avg >= Solve5

Max Playing Hours

WrongItemsCase7=0

Revisited9=0

Revisited10=0

High Solve10

1/3<=Social Fantasy

WrongItemsCase7=0

Revisited10=0

Mid Social Fantasy

Kitchen2

Revisited2=0

Revisited9=0

Avg>=Playing Hours

Avg>=TT Solve10

Avg>=TT Solve5

1/3 <=TT Solve10

Kitchen2

Revisited2=0

Avg <= Playing Hours

LowTT Solve5

Revisited9=0

1/3>=Social Fantasy

Revisited10=0

WrongItemsCase7=0

WrongItemsCase7=0 ,

Revisited2=0

Kitchen2

LowTT Solve10

TT Solve5=0

Avg>=Playing Hours

Revisited9=moreThan1

1/3>=Social Fantasy

Revisited10=0

Revisited10=0

Revisited2=0

Revisited9=moreThan1

low<=Playing Hours

LowTT Solve5

Kitchen2

1/3<=Social Fantasy

WrongItemsCase7=0

LowTT Solve10

Males & Females Without Score

Males & Females With Score

Clustering (Conduct Problems)

Cluster1 (22 child) Cluster2 (11 child) Cluster3 (8 child) Cluster4 (8 child) Cluster5 (3 child)

WrongItemsCase1=0

High School score

Direct game playing (no

revisited)

TT Solve9,

Revisited10=0

School3

1/3 >= Social Fantasy

Avg Playing Hours

Park3

TT Solve3

School2

No WrongItemsCase1

TT Solve9

Revisited10=0

Avg<=Game Time

TT Solve3

Revisited2

1/3 <= Social Fantasy

Park3

School3

Avg<=Playing Hours

Revisited10=0

WrongItemsCase1=0

School2

TT Solve3

Park3

Game Time

Avg<=Playing Hours

1/3 <= Social Fantasy

Repeated Revisited2

School3

TT Solve9

School2

TT Solve3

WrongItemsCase1=0

Max Playing Hours

Avg <= Game Time

TT Solve9

0<=Social Fantasy

Revisited10=0

Park3

Avg <= Revisited2

Revisited10=0

Mid Social Fantasy

Park3

TT Solve3=0

School2

Max Game Time

1 <= Revisited2

LowTT Solve9

WrongItemsCase1=0

Low Playing Hours

School3

Cluster1 (17 child) Cluster2 (10 child) Cluster3 (8 child) Cluster4 (8 child) Cluster5 (4 child)

Revisited2 =0 ,

Kitchen2

Avg >= Solve5

Max Playing Hours

WrongItemsCase7=0

Revisited9=0

Revisited10=0

High Solve10

1/3<=Social Fantasy

WrongItemsCase7=0

Revisited10=0

Mid Social Fantasy

Kitchen2

Revisited2=0

Revisited9=0

Avg>=Playing Hours

Avg>=TT Solve10

Avg>=TT Solve5

1/3 <=TT Solve10

Kitchen2

Revisited2=0

Avg <= Playing Hours

LowTT Solve5

Revisited9=0

1/3>=Social Fantasy

Revisited10=0

WrongItemsCase7=0

WrongItemsCase7=0 ,

Revisited2=0

Kitchen2

LowTT Solve10

TT Solve5=0

Avg>=Playing Hours

Revisited9=moreThan1

1/3>=Social Fantasy

Revisited10=0

Revisited10=0

Revisited2=0

Revisited9=moreThan1

low<=Playing Hours

LowTT Solve5

Kitchen2

1/3<=Social Fantasy

WrongItemsCase7=0

LowTT Solve10

Males & Females Without Score

Males & Females With Score

Clustering (Conduct Problems)

Cluster1 (22 child) Cluster2 (11 child) Cluster3 (8 child) Cluster4 (8 child) Cluster5 (3 child)

WrongItemsCase1=0

High School score

Direct game playing (no

revisited)

TT Solve9,

Revisited10=0

School3

1/3 >= Social Fantasy

Avg Playing Hours

Park3

TT Solve3

School2

No WrongItemsCase1

TT Solve9

Revisited10=0

Avg<=Game Time

TT Solve3

Revisited2

1/3 <= Social Fantasy

Park3

School3

Avg<=Playing Hours

Revisited10=0

WrongItemsCase1=0

School2

TT Solve3

Park3

Game Time

Avg<=Playing Hours

1/3 <= Social Fantasy

Repeated Revisited2

School3

TT Solve9

School2

TT Solve3

WrongItemsCase1=0

Max Playing Hours

Avg <= Game Time

TT Solve9

0<=Social Fantasy

Revisited10=0

Park3

Avg <= Revisited2

Revisited10=0

Mid Social Fantasy

Park3

TT Solve3=0

School2

Max Game Time

1 <= Revisited2

LowTT Solve9

WrongItemsCase1=0

Low Playing Hours

School3

Cluster1 (17 child) Cluster2 (10 child) Cluster3 (8 child) Cluster4 (8 child) Cluster5 (4 child)

Revisited2 =0 ,

Kitchen2

Avg >= Solve5

Max Playing Hours

WrongItemsCase7=0

Revisited9=0

Revisited10=0

High Solve10

1/3<=Social Fantasy

WrongItemsCase7=0

Revisited10=0

Mid Social Fantasy

Kitchen2

Revisited2=0

Revisited9=0

Avg>=Playing Hours

Avg>=TT Solve10

Avg>=TT Solve5

1/3 <=TT Solve10

Kitchen2

Revisited2=0

Avg <= Playing Hours

LowTT Solve5

Revisited9=0

1/3>=Social Fantasy

Revisited10=0

WrongItemsCase7=0

WrongItemsCase7=0 ,

Revisited2=0

Kitchen2

LowTT Solve10

TT Solve5=0

Avg>=Playing Hours

Revisited9=moreThan1

1/3>=Social Fantasy

Revisited10=0

Revisited10=0

Revisited2=0

Revisited9=moreThan1

low<=Playing Hours

LowTT Solve5

Kitchen2

1/3<=Social Fantasy

WrongItemsCase7=0

LowTT Solve10

Males & Females Without Score

Males & Females With Score

Content

• Motivation and Work scope

• This Study

• Psychology Study

• The Game

• Data Collection

• Data Analysis

• Result Analysis

• Implementation Tools

• Future Perspectives

• Demo

Correlations

Female Male

Social Fantasy (without score)

1.2x

Female Male

Social Fantasy (with score)

1.4x

Female Male

Females, 3D Histogram

Without score With score

Males, 3D Histogram

Without score With score

T-test (Females vs. Males, Social Fantasy, With Score)

Variable 1 Variable 2

Mean 0.48 0.688

Variance 0.077 0.058

Observations 25 25

Hypothesized Mean

Difference 0

df 47

t Stat -2.826

P(T<=t) one-tail 0.003

t Critical one-tail 1.677

P(T<=t) two-tail 0.006

t Critical two-tail 2.011

0.006 < 0.05

We reject the Null hypothesis

T-test

Social Fantasy

Females vs. Males

0.006 < 0.05

Females vs. Males

0.074 > 0.05

Conduct Problems

Females vs. Males

0.002 < 0.05

Females vs. Males

0.100 > 0.05

Content

• Motivation and Work scope

• This Study

• Psychology Study

• The Game

• Data Collection

• Data Analysis

• Result Analysis

• Implementation Tools

• Future Perspectives

• Demo

Unity3D Game Engine, scripting with C#

Implementation Tools

WEKA, Machine Learning Software

Microsoft Business Intelligence Suite

Matlab for Analysis

Content

• Motivation and Work scope

• This Study

• Psychology Study

• The Game

• Data Collection

• Data Analysis

• Result Analysis

• Implementation Tools

• Future Perspectives

• Demo

Future Perspectives

Personalizing the game content for each player, maximizing

his/her social fantasy and conduct problems abilities.

Direct the player to change his/her behavior by adding

different interaction and influence techniques to the game.

Comparing different model for capturing the behavior

(recording facial expressions, heart beats, etc.)