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Sensing activity in video images
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Source Conference on Human Factors in Computing Systems archive
CHI '97 extended abstracts on Human factors in computing systems: looking to the future table of contents
Atlanta, Georgia
SESSION: Late-breaking/short talks table of contents
Pages: 319 - 320  
Year of Publication: 1997
ISBN:0-89791-926-2
Authors
Alison Lee  NYNEX Science & Technology, White Plains, NY
Kevin Schlueter  University of Toronto, Toronto, ON, Canada
Andreas Girgensohn  FX Palo Alto Laboratory, Palo Alto, CA
Sponsor
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 7,   Downloads (12 Months): 22,   Citation Count: 4
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ABSTRACT

Video-based awareness tools increase familiarity among remote group members and provide pre-communication information, Low-cost iconic indicators provide less but more succinct information than video images while preserving privacy. Observations of and feedback from users of our video awareness tool suggest that an activity sensing feature along with a variety of privacy options combines advantages of both the video images and iconic indicator approaches. We introduced the activity sensing feature in response to user requests. It derives activity information from video images and provides options to control privacy and improves the usability of video-based awareness tools.


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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T. Wax. Red Light, Green Light. In CSCW'96 Conference Companion, ACM, pp. 1--2, 1996.


Collaborative Colleagues:
Alison Lee: colleagues
Kevin Schlueter: colleagues
Andreas Girgensohn: colleagues