[3C2-OS-14b] [Organized Session] OS-14

[3C2-OS-14b-01] Social Responses of a Robotic Salesperson Based on the Engagement of Visitors

Jian Zhou¹, Masaya Iwasaki¹, 〇Yen-Ru Chin¹, Michelle Geilenberg¹, Mizuki Ikeda¹, Tatsuyuki Kawamura², Hideyuki Nakanishi¹ (1. Department of Adaptive Machine Systems, Osaka University, 2. Kyoto Innovation, Inc.)

Keywords:engagement, customer service robot, machine learning

In recent years, customer service robots have been rapidly deployed. However, it is still unclear what kind of behavior is effective for sale. A conversation cannot be initiated, if the customers are not interested in the robot. Therefore, in this paper, we focus on engagement in the field of Human-Robot Interaction (HRI). In order to produce socially intelligent responses, we introduce a machine learning method to calculate a degree of engagement by analyzing the data which we conducted a field experiment in a real shop. As a result, we develop a model that the robot can hence decide on a socially intelligent response in the start of the conversation.