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• W3000596306 abstract "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." @default.
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• W3000596306 date "2019-10-01" @default.
• W3000596306 modified "2023-09-27" @default.
• W3000596306 title "Hospital Receptionist Robot v2: Design for Enhancing Verbal Interaction with Social Skills" @default.
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• W3000596306 doi "https://doi.org/10.1109/ro-man46459.2019.8956300" @default.
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