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Author Bickmore, Timothy W.
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Language English
Abstract Body language and familiar silent signals are as much a part of social experience as the conversation. Building systems to recognize and respond to such moves will propel interface technology to the next horizon.
Description Affiliation: Boston University School of Medicine, Boston, MA (Bickmore, Timothy W.)
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2005-08-01
Publisher Place New York
Journal Communications of the ACM (CACM)
Volume Number 47
Issue Number 4
Page Count 7
Starting Page 38
Ending Page 44

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Source: ACM Digital Library