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    Senior Research Associate

    National Research Council

    Determining internet users� values for private information

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    Abstract We examine the problem of determining a users value for his/her private information. Web businesses often offer rewards, such as discounts, free downloads and website personalization in exchange for information about the user, such as name, phone number and e-mail address. We present a technique that helps the user determine whether such an offer is acceptable by computing its value in terms of the consequences that could occur as a result of such an information exchange. Bayesian networks are used to model dependencies in the users utilities for such consequences, and utility elicitation is used to reduce the uncertainty of these utilities. We also derive a bother cost, which is used by the elicitation engine to determine the optimal time to stop the question process. A simple example experiment demonstrates the effectiveness of the technique by significantly improving the users expected utility in a simple privacy negotiation. I.

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    Title : Determining internet users� values for private information
    Abstract : Abstract We examine the problem of determining a users value for his/her private information. Web businesses often offer rewards, such as discounts, free downloads and website personalization in exchange for information about the user, such as name, phone number and e-mail address. We present a technique that helps the user determine whether such an offer is acceptable by computing its value in terms of the consequences that could occur as a result of such an information exchange. Bayesian networks are used to model dependencies in the users utilities for such consequences, and utility elicitation is used to reduce the uncertainty of these utilities. We also derive a bother cost, which is used by the elicitation engine to determine the optimal time to stop the question process. A simple example experiment demonstrates the effectiveness of the technique by significantly improving the users expected utility in a simple privacy negotiation. I.
    Subject : unspecified
    Area : Computer Science
    Language : English
    Affiliations
    Url : http://dev.hil.unb.ca/Texts/PST/pdf/buffett.pdf
    Doi : 10.1.1.93.6256

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