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How to approach humans?: strategies for social robots to initiate interaction

Published: 09 March 2009 Publication History

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.

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    cover image ACM Conferences
    HRI '09: Proceedings of the 4th ACM/IEEE international conference on Human robot interaction
    March 2009
    348 pages
    ISBN:9781605584041
    DOI:10.1145/1514095
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 09 March 2009

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    Author Tags

    1. anticipation
    2. approaching behavior
    3. position-based interaction

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    HRI09
    HRI09: International Conference on Human Robot Interaction
    March 9 - 13, 2009
    California, La Jolla, USA

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    • (2024)Bridging Requirements, Planning, and Evaluation: A Review of Social Robot NavigationSensors10.3390/s2409279424:9(2794)Online publication date: 27-Apr-2024
    • (2024)Enabling Social Robots to Perceive and Join Socially Interacting Groups Using F-formation: A Comprehensive OverviewACM Transactions on Human-Robot Interaction10.1145/368207213:4(1-48)Online publication date: 23-Oct-2024
    • (2024)Field Trial of a Queue-Managing Security Guard RobotACM Transactions on Human-Robot Interaction10.1145/368029213:4(1-48)Online publication date: 25-Jul-2024
    • (2024)Robot Design for Social IntervenabilityProceedings of the 13th Nordic Conference on Human-Computer Interaction10.1145/3679318.3685392(1-9)Online publication date: 13-Oct-2024
    • (2024)The Power of Opening Encounters in HRI: How Initial Robotic Behavior Shapes the Interaction that FollowsProceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction10.1145/3610977.3634996(203-212)Online publication date: 11-Mar-2024
    • (2024)Enhancing the Mobile Humanoid Robot’s Emotional Expression with Affective Vertical-OscillationsInternational Journal of Social Robotics10.1007/s12369-024-01142-016:7(1523-1540)Online publication date: 14-Jun-2024
    • (2024)Should I Just Stick to the Wall? Evaluating the Social Acceptance and Preferred Driving Side of Wall FollowingInternational Journal of Social Robotics10.1007/s12369-024-01141-116:7(1693-1705)Online publication date: 5-Jun-2024
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    • (2023)First Impressions Are Essential: Testing Attraction Strategies for Robot-Human Interaction in the Higher Education DomainProceedings of the 2023 7th International Conference on Software and e-Business10.1145/3641067.3641070(57-63)Online publication date: 21-Dec-2023
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