Hospital Receptionist Robot v2: Design for Enhancing Verbal Interaction with Social Skills

被引:10
作者
Ahn, Ho Seok [1 ]
Yep, Wesley [1 ]
Lim, Jongyoon [1 ]
Ahn, Byeong Kyu [1 ]
Johanson, Deborah L. [2 ]
Hwang, Eui Jun [1 ]
Lee, Min Ho [1 ]
Broadbent, Elizabeth [2 ]
MacDonald, Bruce A. [1 ]
机构
[1] Univ Auckland, Dept Elect Comp & Software Engn ECSE, Ctr Automat & Robot Engn Sci CARES, Auckland 1010, New Zealand
[2] Univ Auckland, Ctr Automat & Robot Engn Sci CARES, Dept Psychol Med, Auckland 1010, New Zealand
来源
2019 28TH IEEE INTERNATIONAL CONFERENCE ON ROBOT AND HUMAN INTERACTIVE COMMUNICATION (RO-MAN) | 2019年
关键词
SYSTEM;
D O I
10.1109/ro-man46459.2019.8956300
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper presents a new version of robot receptionist system for healthcare facility environment. Our HealthBots consists of three subsystems: a receptionist robot system, a nurse assistant robot system, and a medical server. Our first version of receptionist robot, interacts with human at hospital reception, gives instructions to human verbally, but cannot understand what human says, so it uses a touch screen to get the response from human. In this paper, we design a receptionist robot that recognizes human face as well as speech, which enhances verbal interaction skill of robot. In addition, we design a reaction generation engine to generate appropriate reactive motions and speech. Moreover, we study which social skills are important to a hospital receptionist robot to enhance social interaction, such as friendliness and attention. We implemented perception modules, decision-making modules, and reaction modules to our HealthBots architecture, and did two case studies to find essential social skills for hospital receptionist robots.
引用
收藏
页数:6
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