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author Yasutaka Higa <e115763@ie.u-ryukyu.ac.jp>
date Tue, 16 Jun 2015 12:42:46 +0900
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title: A Novel Greeting System Selection System for a Culture-Adaptive Humanoid Robot
author: Tatsuki KANAGAWA <br> Yasutaka HIGA
profile: Concurrency Reliance Lab
lang: Japanese

# Abstract
* 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.
* Among humans, rules of communication change depending on background culture.
* Greeting are a part of communication in which cultural differences are strong.

# Abstract
* In this paper, we present the modelling of social factors that influence greeting choice,
* and the resulting novel culture-dependent greeting gesture and words selection system.
* An experiment with German participants was run using the humanoid robot ARMAR-IIIb.

# Introduction
* Acceptance of humanoid robots in human societies is a critical issue.
* One of the main factors is the relations ship between the background culture of human partners and acceptance.
    * ecologies, social structures, philosophies, educational systems.

# Introduction
* 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.
* As the importance of culture-specific customization of greeting was confirmed.
* Acceptance of robots can be improved if they are able to adapt to different kinds of greeting rules.

# Introduction
* Adaptive behaviour in robotics can be achieved through various methods:
    * reinforcement learning
    * neural networks
    * generic algorithms
    * function regression

# Greeting selection

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