Mercurial > hg > Members > atton > intelligence_robotics
changeset 5:9dbbe7f42909
Add pictures
| author | Yasutaka Higa <e115763@ie.u-ryukyu.ac.jp> |
|---|---|
| date | Thu, 18 Jun 2015 23:08:28 +0900 |
| parents | 51b87e0db067 |
| children | 74689630ff47 |
| files | pictures/classes.png pictures/factors.png pictures/model_overview.png slide.md |
| diffstat | 4 files changed, 7 insertions(+), 3 deletions(-) [+] |
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--- 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.