How to approach humans?-Strategies for social robots to initiate interaction

Satoru Satake, Takayuki Kanda, Dylan F. Glas, Michita Imai, Hiroshi Ishiguro, Norihiro Hagita

Research output: Chapter in Book/Report/Conference proceedingConference contribution

225 Citations (Scopus)

Abstract

This paper proposes a model of approach behavior with which a robot can initiate conversation with people who are walking. We developed the model by learning from the failures in a simplistic approach behavior used in a real shopping mall. Sometimes people were unaware of the robot's presence, even when it spoke to them. Sometimes, people were not sure whether the robot was really trying to start a conversation, and they did not start talking with it even though they displayed interest. To prevent such failures, our model includes the following functions: predicting the walking behavior of people, choosing a target person, planning its approaching path, and nonverbally indicating its intention to initiate a conversation. The approach model was implemented and used in a real shopping mall. The field trial demonstrated that our model significantly improves the robot's performance in initiating conversations.

Original languageEnglish
Title of host publicationProceedings of the 4th ACM/IEEE International Conference on Human-Robot Interaction, HRI'09
Pages109-116
Number of pages8
DOIs
Publication statusPublished - 2008 Dec 1
Event4th ACM/IEEE International Conference on Human-Robot Interaction, HRI'09 - San Diego, CA, United States
Duration: 2009 Mar 112009 Mar 13

Publication series

NameProceedings of the 4th ACM/IEEE International Conference on Human-Robot Interaction, HRI'09

Other

Other4th ACM/IEEE International Conference on Human-Robot Interaction, HRI'09
Country/TerritoryUnited States
CitySan Diego, CA
Period09/3/1109/3/13

Keywords

  • Anticipation
  • Approaching behavior
  • Position-based interaction

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Electrical and Electronic Engineering

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