Can User-Centered Reinforcement Learning Allow a Robot to Attract Passersby without Causing Discomfort?
Authors: Yasunori Ozaki, Tatsuya Ishihara, Narimune Matsumura, Tadashi Nunobiki
Abstract
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<0.01). Our field experiment in an office entrance demonstrated that our method meets this requirement.