Can User-Centered Reinforcement Learning Allow a Robot to Attract Passersby without Causing Discomfort?

The aim of our study is to develop a method by which a social robot can greet passersby and get their attention without causing them to suffer discomfort. Social robots now function in a number of customer service roles, such as receptionists, guides, and exhibitors. However, sudden greetings from a...

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Bibliographic Details
Main Authors: Ozaki, Yasunori, Ishihara, Tatsuya, Matsumura, Narimune, Nunobiki, Tadashi
Format: Conference Proceeding
Language:English
Subjects:
Customer services
Intelligent robots
Q-learning
Robots
Task analysis
User experience
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Summary:The aim of our study is to develop a method by which a social robot can greet passersby and get their attention without causing them to suffer discomfort. Social robots now function in a number of customer service roles, such as receptionists, guides, and exhibitors. However, sudden greetings from a robot can startle passersby. Therefore, we developed a method that allows social robots to adapt their mannerisms situationally based the results of related work. Our proposed method, user-centered reinforcement learning, enables robots to greet passersby without causing them discomfort (p
ISSN:2153-0866
DOI:10.1109/IROS40897.2019.8967936