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author | Yasutaka Higa <e115763@ie.u-ryukyu.ac.jp> |
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date | Thu, 18 Jun 2015 13:27:10 +0900 |
parents | 05756061e59c |
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0 | 1 title: A Novel Greeting System Selection System for a Culture-Adaptive Humanoid Robot |
2 author: Tatsuki KANAGAWA <br> Yasutaka HIGA | |
3 profile: Concurrency Reliance Lab | |
4 lang: Japanese | |
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6 # Abstract: Robots and cultures |
0 | 7 * Robots, especially humanoids, are expected to perform human-like actions and adapt to our ways of communication in order to facilitate their acceptance in human society. |
8 * Among humans, rules of communication change depending on background culture. | |
9 * Greeting are a part of communication in which cultural differences are strong. | |
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11 # Abstract: Summary of this paper |
0 | 12 * In this paper, we present the modelling of social factors that influence greeting choice, |
13 * and the resulting novel culture-dependent greeting gesture and words selection system. | |
14 * An experiment with German participants was run using the humanoid robot ARMAR-IIIb. | |
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16 # Introduction: Acceptance of humanoid robots |
0 | 17 * Acceptance of humanoid robots in human societies is a critical issue. |
18 * One of the main factors is the relations ship between the background culture of human partners and acceptance. | |
19 * ecologies, social structures, philosophies, educational systems. | |
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21 # Introduction: Culture adapted greetings |
0 | 22 * In the work Trovat et al. culture-dependent acceptance and discomfort relating to greeting gestures were found in a comparative study with Egyptian and Japanese participants. |
23 * As the importance of culture-specific customization of greeting was confirmed. | |
24 * Acceptance of robots can be improved if they are able to adapt to different kinds of greeting rules. | |
25 | |
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26 # Introduction: Methods of implementation adaptive behaviour |
0 | 27 * Adaptive behaviour in robotics can be achieved through various methods: |
28 * reinforcement learning | |
29 * neural networks | |
30 * generic algorithms | |
31 * function regression | |
32 | |
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33 # Introduction: Greeting interaction with robots |
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34 * Robots are expected to interact and communicate with humans of different cultural background in a natural way. |
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35 * It is there therefore important to study greeting interaction between robots and humans. |
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36 * ARMAR-III: greeted the Chancellor of Germany with a handshake |
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37 * ASIMO: is capable of performing a wider range of greetings |
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38 * (a handshake, waving both hands, and bowing) |
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40 # Introduction: Objectives of this paper |
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41 * The robot should be trained with sociology data related to one country, and evolve its behaviour by engaging with people of another country in a small number of interactions. |
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42 * For the implementation of the gestures and the interaction experiment, we used the humanoid robot ARMAR-IIIb. |
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43 * 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. |
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45 # Introduction: ARMAR-IIIb |
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46 * TODO: picture of ARMAR-IIIb <!-- ![ARMAR-IIIb][armar](figures/ARMAR-IIIb.png) --> |
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48 # Introduction: Target scenario |
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49 * 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. |
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50 * (e.g., a Westerner in Japan) |
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51 * For example, he might want to shake hands or hug, and will receive a bow instead. |
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53 # Introduction: Objectives of this work |
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54 * This work is an application of a study of sociology into robotics. |
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55 * Our contribution is to synthesize the complex and sparse data related to greeting types into a model; |
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56 * create a selection and adaptation system; |
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57 * and implement the greetings in a way that can potentially be applied to any robot. |
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