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Effects of anticipatory action on human-robot teamwork efficiency, fluency, and perception of team

Published: 10 March 2007 Publication History

Abstract

A crucial skill for fluent action meshing in human team activity is a learned and calculated selection of anticipatory actions. We believe that the same holds for robotic teammates, if they are to perform in a similarly fluent manner with their human counterparts.In this work, we propose an adaptive action selection mechanism for a robotic teammate, making anticipatory decisions based on the confidence of their validity and their relative risk. We predict an improvement in task efficiency and fluency compared to a purely reactive process.We then present results from a study involving untrained human subjects working with a simulated version of a robot using our system. We show a significant improvement in best-case task efficiency when compared to a group of users working with a reactive agent, as well as a significant difference in the perceived commitment of the robot to the team and its contribution to the team's uency and success. By way of explanation, we propose a number of fluency metrics that differ significantly between the two study groups.

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    cover image ACM Conferences
    HRI '07: Proceedings of the ACM/IEEE international conference on Human-robot interaction
    March 2007
    392 pages
    ISBN:9781595936172
    DOI:10.1145/1228716
    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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    Published: 10 March 2007

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    Author Tags

    1. anticipatory action selection
    2. fluency
    3. human-robot interaction
    4. teamwork

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    HRI07
    HRI07: International Conference on Human Robot Interaction
    March 10 - 12, 2007
    Virginia, Arlington, USA

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    HRI '07 Paper Acceptance Rate 22 of 101 submissions, 22%;
    Overall Acceptance Rate 268 of 1,124 submissions, 24%

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    • (2024)Toward Competent Robot Apprentices: Enabling Proactive Troubleshooting in Collaborative RobotsMachines10.3390/machines1201007312:1(73)Online publication date: 18-Jan-2024
    • (2024)Developing a Team Classification Scheme for Human-Agent TeamingProceedings of the Human Factors and Ergonomics Society Annual Meeting10.1177/1071181324126038768:1(1394-1399)Online publication date: 12-Aug-2024
    • (2024)The Case of the Curious Robot: On the Social Viability of Curious Behavior in Non-Human AgentsProceedings of the 24th ACM International Conference on Intelligent Virtual Agents10.1145/3652988.3673920(1-12)Online publication date: 16-Sep-2024
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    • (2023)Recognition of Grasping Patterns Using Deep Learning for Human–Robot CollaborationSensors10.3390/s2321898923:21(8989)Online publication date: 5-Nov-2023
    • (2023)The Relationships of Human-Cobot Interaction Fluency with Job Performance and Job Satisfaction among Cobot Operators—The Moderating Role of WorkloadInternational Journal of Environmental Research and Public Health10.3390/ijerph2006511120:6(5111)Online publication date: 14-Mar-2023
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