# HG changeset patch
# User Yasutaka Higa <e115763@ie.u-ryukyu.ac.jp>
# Date 1434636508 -32400
# Node ID 9dbbe7f429093202dfa4a018b89fe89aa752fa93
# Parent  51b87e0db067f920ea9877685d4582a8eda5860a
Add pictures

diff -r 51b87e0db067 -r 9dbbe7f42909 pictures/classes.png
Binary file pictures/classes.png has changed
diff -r 51b87e0db067 -r 9dbbe7f42909 pictures/factors.png
Binary file pictures/factors.png has changed
diff -r 51b87e0db067 -r 9dbbe7f42909 pictures/model_overview.png
Binary file pictures/model_overview.png has changed
diff -r 51b87e0db067 -r 9dbbe7f42909 slide.md
--- a/slide.md	Thu Jun 18 22:54:56 2015 +0900
+++ b/slide.md	Thu Jun 18 23:08:28 2015 +0900
@@ -43,7 +43,7 @@
 * As the experiment is carried out in Germany, the interactions are with German participants, while preliminary training is done with Japanese data, which is culturally extremely different.
 
 # Introduction: ARMAR-IIIb
-<img src="pictures/ARMAR-IIIb.png" style='width 400px, height 400px'> </img>
+<img src="pictures/ARMAR-IIIb.png" style='width: 350px; height: 350px; margin-left: 200px;'>
 
 # Introduction: Target scenario
 * The idea behind this study is a typical scenario in which a foreigner visiting a country for the first time greets local people in an inappropriate way as long as he is unaware of the rules that define the greeting choice.
@@ -79,9 +79,10 @@
 * 'Politeness', 'Power Relationship', 'culture' and more.
 
 # Greeting Selection: Factors on Classification
-TODO: Insert FIGURE 1
 * the factors to be cut are greyed out.
 
+<img src="pictures/factors.png" style='width: 60%; margin-left: 150px; margin-top: -50px;'>
+
 # Model of Greetings: Assumptions (1 - 5)
 * The simplification was guided by the following ten assumptions.
 * Only two individuals (a robot and a human participant): we do not take in consideration a higher number of individuals.
@@ -105,13 +106,16 @@
     * The outputs can also assume only a limited set of categorical values.
 
 # Model of Greetings: Features, mapping discriminants, classes, and possible status
-TODO: FIGURE 2
+<img src="pictures/classes.png" style='width: 60%; margin-left: 150px;'>
 
 # Model of Greetings: Overview of the greeting model
 * Greeting model takes context data as input and produces the appropriate robot posture and speech for that input.
 * The two outputs evaluated by the participants of the experiment through written questionnaires.
 * These training data that we get from the experience are given as feedback to the two mappings.
 
+# Model of Greetings: Overview of the greeting model
+<img src="pictures/model_overview.png" style='width: 75%; margin-left: 120px;'>
+
 # Greeting selection system training data
 * Mappings can be trained to  an initial state with data taken from the literature of sociology studies.
 * Training data should be classified through some machine learning method or formula.