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Please use this identifier to cite or link to this item: http://hdl.handle.net/10023/2033
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Title: Trust and privacy in distributed work groups
Authors: Anthony, Denise
Henderson, Tristan Nicholas Hoang
Kitts, James
Editors: Liu, Huan
Salerno, John J.
Young, Michael J.
Keywords: QA75 Electronic computers. Computer science
Issue Date: Mar-2009
Citation: Anthony , D , Henderson , T N H & Kitts , J 2009 , ' Trust and privacy in distributed work groups ' . in H Liu , J J Salerno & M J Young (eds) , Social Computing and Behavioral Modeling . Springer , New York , pp. 16-23 , Second International Workshop on Social Computing, Behavioral Modeling, and Prediction , Phoenix, Arizona , United States , 31-1 April .
conference
Abstract: Trust plays an important role in both group cooperation and economic exchange. As new technologies emerge for communication and exchange, established mechanisms of trust are disrupted or distorted, which can lead to the breakdown of cooperation or to increasing fraud in exchange. This paper examines whether and how personal privacy information about members of distributed work groups influences individuals' cooperation and privacy behavior in the group. Specifically, we examine whether people use others' privacy settings as signals of trustworthiness that affect group cooperation. In addition, we examine how individual privacy preferences relate to trustworthy behavior. Understanding how people interact with others in online settings, in particular when they have limited information, has important implications for geographically distributed groups enabled through new information technologies. In addition, understanding how people might use information gleaned from technology usage, such as personal privacy settings, particularly in the absence of other information, has implications for understanding many potential situations that arise in pervasively networked environments.
Version: Preprint
Description: Proceedings of the 2nd International Workshop on Social Computing, Behavioral Modeling and Prediction
URI: http://hdl.handle.net/10023/2033
http://sbp.asu.edu/
DOI: http://dx.doi.org/10.1007/978-1-4419-0056-2_4
ISBN: 978-1-4419-0055-5
978-1-4419-0056-2
Type: Conference item
Rights: This is an author version of this paper. The published version (c) copyright Springer Science + Business Media, LLC 2009 is available from http://www.springerlink.com
Publisher: Springer
Appears in Collections:University of St Andrews Research
Computer Science Research



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