AAAI Publications, Second AAAI Conference on Human Computation and Crowdsourcing

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Glance Privacy: Obfuscating Personal Identity While Coding Behavioral Video
Mitchell Gordon, Walter S. Lasecki, Winnie Leung, Ellen Lim, Steven P. Dow, Jeffery P. Bigham

Last modified: 2014-09-05

Abstract


Behavioral researchers code video to extract systematic meaning from subtle human actions and emotions. While this has traditionally been done by analysts within a research group, recent methods have leveraged online crowds to massively parallelize this task and reduce the time required from days to seconds. However, using the crowd to code video increases the risk that private information will be disclosed because workers who have not been vetted will view the video data in order to code it. In this Work-in-Progress, we discuss techniques for maintaining privacy when using Glance to code video and present initial experimental evidence to support them.

References


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Lasecki, W. S.; Gordon, M.; Koutra, D.; Jung, M.; Dow, S. P.;and Bigham, J. P.  2014.  Glance: Rapidly coding behavioralvideo with the crowd.   UIST 2014.   New York, NY, USA:ACM.


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