Understanding communication patterns for designing robot receptionist

  • Authors:
  • Benedict Tay Tiong Chee;Alvin Hong Yee Wong;Dilip Kumar Limbu;Adrian Hwang Jian Tay;Yeow Kee Tan;Taezoon Park

  • Affiliations:
  • School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore;School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore and Institute for Infocomm Research, A*STAR, Singapore;Institute for Infocomm Research, A*STAR, Singapore;Institute for Infocomm Research, A*STAR, Singapore;Institute for Infocomm Research, A*STAR, Singapore;School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore

  • Venue:
  • ICSR'10 Proceedings of the Second international conference on Social robotics
  • Year:
  • 2010

Quantified Score

Hi-index 0.00

Visualization

Abstract

The interaction between human and robot is a critical issue for increasing the acceptance of robot as a companion in everyday life. Understanding the nature of communication pattern between human receptionists and visitors is essential in answering questions to facilitate the design of dialogue for a robot receptionist. Methods: A controlled observation which involved 6 receptionists and 10 visitors was carried out. Conversations between two parties were transcribed and coded with Interaction Process Analysis coding scheme, and keyword and dialog pattern were analyzed subsequently. Results and Discussions: Some frequently used terms and patterns of communication were found during the conversations. One of the key findings is the importance of differentiation of pragmatic and literal meanings of a statement in designing a dialogue for a robot receptionist. Suggested keywords could be used as a reference for similar statements while a robot receptionist is suggested to adopt some of the communication patterns found in the conversations. Future Works: Communications are typically complicated and this study can be served as a pilot in establishing a guideline for designing dialogues for robot receptionists.