Article

User intentions funneled through a human-robot interface

Authors:

Michael T. Rosenstein,

Andrew H. Fagg,

Shichao Ou,

Roderic A. GrupenAuthors Info & Claims

IUI '05: Proceedings of the 10th international conference on Intelligent user interfaces

Pages 257 - 259

https://doi.org/10.1145/1040830.1040888

Published: 10 January 2005 Publication History

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Abstract

We describe a method for predicting user intentions as part of a human-robot interface. In particular, we show that funnels, i.e., geometric objects that partition an input space, provide a convenient means for discriminating individual objects and for clustering sets of objects for hierarchical tasks. One advantage of the proposed implementation is that a simple parametric model can be used to specify the shape of a funnel, and a straightforward heuristic for setting initial parameter values appears promising. We discuss the possibility of adapting the user interface with machine learning techniques, and we illustrate the approach with a humanoid robot performing a variation of a standard peg-insertion task.

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Cited By

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Hepworth ABaxter DHussein AYaxley KDebie EAbbass H(2021)Human-Swarm-Teaming Transparency and Trust ArchitectureIEEE/CAA Journal of Automatica Sinica10.1109/JAS.2020.10035458:7(1281-1295)Online publication date: Jul-2021
https://doi.org/10.1109/JAS.2020.1003545
Uri KHelman SYael E(2006)Human-Robot Collaborative Learning System for Inspection2006 IEEE International Conference on Systems, Man and Cybernetics10.1109/ICSMC.2006.384802(4249-4255)Online publication date: Oct-2006
https://doi.org/10.1109/ICSMC.2006.384802

Index Terms

User intentions funneled through a human-robot interface
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction devices
      1. Touch screens

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Published In

IUI '05: Proceedings of the 10th international conference on Intelligent user interfaces

January 2005

344 pages

ISBN:1581138946

DOI:10.1145/1040830

General Chair:
Rob St. Amant
North Carolina State University, USA
,
Program Chairs:
John Riedl
University of Minnesota, USA
,
Anthony Jameson
DFKI and International University in Germany

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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Association for Computing Machinery

New York, NY, United States

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Published: 10 January 2005

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IUI05

Sponsor:

IUI05: Tenth International Conference on Intelligent User Interfaces

January 10 - 13, 2005

California, San Diego, USA

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Overall Acceptance Rate 746 of 2,811 submissions, 27%

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IUI '25

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30th International Conference on Intelligent User Interfaces

March 24 - 27, 2025

Cagliari , Italy

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Cited By

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Hepworth ABaxter DHussein AYaxley KDebie EAbbass H(2021)Human-Swarm-Teaming Transparency and Trust ArchitectureIEEE/CAA Journal of Automatica Sinica10.1109/JAS.2020.10035458:7(1281-1295)Online publication date: Jul-2021
https://doi.org/10.1109/JAS.2020.1003545
Uri KHelman SYael E(2006)Human-Robot Collaborative Learning System for Inspection2006 IEEE International Conference on Systems, Man and Cybernetics10.1109/ICSMC.2006.384802(4249-4255)Online publication date: Oct-2006
https://doi.org/10.1109/ICSMC.2006.384802

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Single robot - Multiple human interaction via intelligent user interfaces

Human–robot interaction via voice-controllable intelligent user interface

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