In the article, Privacy-enhanced Personalization, it is
discussing the relationship between personalization and privacy. Through
research the studies have shown that some consumers value personalized content
and on the other hand those consumers are worried about exposing too much of
their personal content. Therefore it
brings in the issue of privacy and how personalized systems can invade the
privacy of others. This article offers up ways to design the personalized systems
to avoid invading someone’s privacy.
The Privacy Calculus:
They have tried to make different calculations for privacy.
They came up with factors that play a role in the Privacy Calculus. The factors
are: personality and culture based privacy attitudes, the type of information
to be disclosed and its deviance from the average, the recipient, the value
being assigned to personalization benefits, the extent to which users know what
information has been disclosed and can control its usage, and various trust
establishing factors. These factors are further explained throughout the
article.
Individual Privacy Attitudes:
There are three types of attitudes: Privacy fundamentalist
who have extreme concern about their privacy, Privacy Unconcerned who have mild
concern about their privacy, and Privacy Pragmatists who have a general concern
about their privacy.
An important point to make is as long as developers show
their users clearly the benefits of their services it will provide more value
in those personalized systems.
Most users just want control over the usage of their
personal information.
Design and operation of a Web site:
Key factors to a trusted website are: the absence of errors,
professional design and usability, the presence of contact information, links
from a believable Web site, links to outside sources and materials, updates,
and quick responses. Trust is a huge motivational factor for someone to
disclose personal information.
There are several techniques in the research process that
can help with privacy protections. The four techniques to help with
collaborative-filtering are Distribution, Aggregation of encrypted data,
Perturbation, and Obfuscation.
The question I pose is: At some point in the future will the
idea of privacy be stripped away from us?
I thought your response made some great points. Trust is a key factor is relinquishing personal information. If the users believe the website is reputable, they will be more willing to personalize the site and offer their information. I also thought Privacy Calculus was a very interesting concept. It shows that the ideas of personalization and privacy are very subjective. Those two things greatly depend on the user’s attitude toward privacy and their view of the benefits they will receive from personalization. To answer your question, I do believe privacy will be stripped away from us. Soon, technology will make everything will be so interconnected, that it will be difficult to protect our privacy.
ReplyDeleteI am really interested in the question that you proposed. I was thinking the same thing. I can see as time and technology progress that privacy becomes obsolete. We give up so much information and these large corporations are selling our information. Some websites are asking for more and more information but where is the cut off?
ReplyDeleteIt seems to me that it has already been stripped from us in some ways. I feel like I am much more inclined to share personal information that my parents and grandparents would be less likely to share freely. I have few qualms about sharing personal information, and I feel like the idea of sharing information on websites is becoming less controversial.
ReplyDeleteI think the idea of privacy differs for each person, depending on the extent of how private each person is. For me, my privacy has more to do with personal matters in my life, in addition to financial things. But for other people, privacy is strictly financial information and things like that. So your question is really interesting, because I think it will be different for each person, depending on what our definition of privacy is
ReplyDelete