# HG changeset patch # User Yasutaka Higa # Date 1434601630 -32400 # Node ID fcf37cf337eab2502f60cc5364ae15747c577a48 # Parent 05756061e59cd728d45749b65ffbf9ab977f2066 Wrote slides to Introduction diff -r 05756061e59c -r fcf37cf337ea slide.md --- a/slide.md Tue Jun 16 12:42:46 2015 +0900 +++ b/slide.md Thu Jun 18 13:27:10 2015 +0900 @@ -3,34 +3,58 @@ profile: Concurrency Reliance Lab lang: Japanese -# Abstract +# Abstract: Robots and cultures * 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 +# Abstract: Summary of this paper * 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 +# Introduction: Acceptance of humanoid robots * 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 +# Introduction: Culture adapted greetings * 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 +# Introduction: Methods of implementation adaptive behaviour * Adaptive behaviour in robotics can be achieved through various methods: * reinforcement learning * neural networks * generic algorithms * function regression -# Greeting selection +# Introduction: Greeting interaction with robots +* Robots are expected to interact and communicate with humans of different cultural background in a natural way. +* It is there therefore important to study greeting interaction between robots and humans. + * ARMAR-III: greeted the Chancellor of Germany with a handshake + * ASIMO: is capable of performing a wider range of greetings + * (a handshake, waving both hands, and bowing) + +# Introduction: Objectives of this paper +* 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. +* For the implementation of the gestures and the interaction experiment, we used the humanoid robot ARMAR-IIIb. +* 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 +* TODO: picture of ARMAR-IIIb + +# 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. + * (e.g., a Westerner in Japan) +* For example, he might want to shake hands or hug, and will receive a bow instead. + +# Introduction: Objectives of this work +* This work is an application of a study of sociology into robotics. +* Our contribution is to synthesize the complex and sparse data related to greeting types into a model; +* create a selection and adaptation system; +* and implement the greetings in a way that can potentially be applied to any robot.