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Common metrics for human-robot interaction
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Proceedings of the 1st ACM SIGCHI/SIGART conference on Human-robot interaction table of contents
Salt Lake City, Utah, USA
SESSION: Metrics and work study practices table of contents
Pages: 33 - 40  
Year of Publication: 2006
ISBN:1-59593-294-1
Authors
Aaron Steinfeld  Carnegie Mellon University, Pittsburgh, PA
Terrence Fong  NASA Ames Research Center, Moffett Field, CA
David Kaber  North Carolina State University, Raleigh, NC
Michael Lewis  University of Pittsburgh, Pittsburgh, PA
Jean Scholtz  NIST, Gaithersburg, MD
Alan Schultz  US Naval Research Lab, Washington, DC
Michael Goodrich  Brigham Young University, Provo, UT
Sponsors
ACM: Association for Computing Machinery
SIGART: ACM Special Interest Group on Artificial Intelligence
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 56,   Downloads (12 Months): 414,   Citation Count: 8
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ABSTRACT

This paper describes an effort to identify common metrics for task-oriented human-robot interaction (HRI). We begin by discussing the need for a toolkit of HRI metrics. We then describe the framework of our work and identify important biasing factors that must be taken into consideration. Finally, we present suggested common metrics for standardization and a case study. Preparation of a larger, more detailed toolkit is in progress.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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CITED BY  8

Collaborative Colleagues:
Aaron Steinfeld: colleagues
Terrence Fong: colleagues
David Kaber: colleagues
Michael Lewis: colleagues
Jean Scholtz: colleagues
Alan Schultz: colleagues
Michael Goodrich: colleagues