Affective feedback in closed loop human-robot interaction

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Affective feedback in closed loop human-robot interaction

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ACM SIGCHI/SIGART Human-Robot Interaction archive
Proceedings of the 1st ACM SIGCHI/SIGART conference on Human-robot interaction table of contents

Salt Lake City, Utah, USA

POSTER SESSION: Short papers table of contents

Pages: 335 - 336

Year of Publication: 2006

ISBN:1-59593-294-1

Authors

Pramila Rani	Vanderbilt University, Nashville, TN
Changchun Liu	Vanderbilt University, Nashville, TN
Nilanjan Sarkar	Vanderbilt University, Nashville, TN

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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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.

	1	Brown, R. M., Hall, L. R., Holtzer, R., and Brown, S. L., Gender and Video Game Performance. Sex Roles. 36, 11-12, (June, 1997) 793--812.
	2	Liu, C, Rani, P., and Sarkar, N. Comparison of Machine Learning Techniques for Affect Detection in Human Robot Interaction. In Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems, August 2005, Canada.
	3	Rosalind W. Picard, Affective computing, MIT Press, Cambridge, MA, 1997
	4	Rohrmann, S., Hennig, J., and Netter, P. Changing psychobiological stress reactions by manipulating cognitive processes, International Journal of Psychophysiology, 33, 2, 1999, 149--161.